ISC 2026 - Day 2

<h4><strong>What if you could compress 179 days of grueling laboratory workflow into just 14 hours?</strong></h4><p><strong>In this episode of ‪ChromatographyTalk‬, ‪Organomation‬ General Manager David Oliva sits down with analytical chemist Laura Penabad to discuss her groundbreaking new research in biocatalysis and high-throughput screening. Evolving engineered enzymes typically requires checking thousands of variants—a massive bottleneck when traditional Liquid Chromatography-Mass Spectrometry (LC-MS) runs take minutes per sample. Laura reveals how her team built a modular screening platform that shatters this limitation, running samples 128 times faster than standard methods without sacrificing analytical accuracy.</strong></p><p>Laura breaks down the "orchestra" of technologies making this possible, including coupling nanoliter droplet microfluidics with Cyclic Ion Mobility-Mass Spectrometry (cIM-MS) to separate complex chemical isomers in milliseconds. She also shares the chaotic but triumphant behind-the-scenes stories of her PhD journey—from presenting a "comically bad" early poster at ASMS to recruiting an undergraduate mechanical engineer to build custom automation software from scratch.</p><p>If you are an early-career researcher, a mass spec enthusiast, or curious about the future of synthetic biology and machine learning in chemistry, this episode is packed with invaluable intuition and advice.</p><h3><strong>Video Transcription</strong></h3><h4><strong>From Months to Hours: Droplet Ion Mobility–MS for Biocatalysis Screening</strong></h4><p><strong>High-throughput screening is central to directed enzyme evolution, but conventional analytical workflows can create a difficult compromise: extremely fast screens often provide limited structural information, while techniques such as LC-MS offer much richer chemical insight at the cost of throughput. In a recent interview, analytical chemist Laura described how her work with droplet-based cyclic ion mobility mass spectrometry is helping bridge that gap—providing rapid analysis while retaining the ability to distinguish structurally similar products.</strong></p><p>Her research grew from an initially modest proof of concept into a screening platform capable of analyzing a 96-well plate in roughly ten minutes. The resulting workflow was approximately <strong>128 times faster than a conventional three-minute LC-MS analysis</strong>, opening new possibilities for directed evolution campaigns in which thousands of enzyme variants need to be evaluated.</p><h4>Directed evolution needs better analytical screening</h4><p>Biocatalysis takes advantage of enzymes as highly selective catalysts capable of performing reactions under relatively mild conditions. Directed evolution extends those capabilities by deliberately modifying enzyme sequences, expressing large numbers of variants, screening their activity, and using the best-performing mutants as starting points for subsequent rounds of evolution.</p><p>The process can be repeated multiple times, progressively steering an enzyme toward improved activity, altered substrate specificity, or even chemistry that does not occur naturally.</p><p>But the effectiveness of directed evolution depends heavily on the screening step. The more variants that can be analyzed—and the more useful chemical information that can be collected for each one—the more effectively researchers can explore the enormous sequence space available to an enzyme.</p><p>For Laura, this created a clear analytical challenge: develop a screening platform that was substantially faster than conventional chromatographic analysis without sacrificing the structural discrimination needed for chemically similar products.</p><h4><strong>From an imperfect first experiment to a working platform</strong></h4><p>The project did not begin with a polished high-throughput workflow.</p><p>Laura recalled looking back at her <strong>2023 ASMS poster</strong>, where the early system was still working with standards rather than true isomeric samples. Droplet introduction was slow—around six seconds per droplet—and the signals were far from the ideal reproducible, square, flat-topped profiles expected from replicate droplets.</p><p>Nevertheless, simply producing a droplet signal represented an important first milestone.</p><p>The decisive change came when the project stopped being treated merely as a demonstration that droplet ion mobility–MS could work and instead became a deliberate effort to build a <strong>robust screening platform</strong>.</p><p>Laura approached the problem in modules. First came reliable droplet introduction. Then the ion mobility separation method. Quantification became another independent component. Matrix effects were introduced later, gradually making the system resemble the conditions expected with real screening samples.</p><p>Each layer was tested before another was added.</p><p>This stepwise strategy became one of the central principles of the project: rather than attempting to optimize the entire system simultaneously, individual components were developed, challenged, and then assembled into an increasingly realistic workflow.</p><h4><strong>Finding the middle ground between speed and structural information</strong></h4><p>One of the biggest analytical problems in high-throughput screening is distinguishing products with the same nominal or exact mass.</p><p>Constitutional isomers may contain the same atoms and therefore generate the same mass-to-charge ratio, while differing only in how functional groups are arranged within the molecular structure. Very rapid optical or mass-based screens may therefore struggle to distinguish them.</p><p>Traditional LC-MS can solve many of these problems through chromatographic separation, but a several-minute analysis rapidly becomes impractical when thousands of enzyme variants must be screened.</p><p>Ion mobility offered Laura’s team another option.</p><p>Rather than separating compounds on a chromatographic timescale, ion mobility can differentiate ions according to their gas-phase behavior on a much shorter timescale. In the workflow described in the interview, this created a useful compromise: not the kilohertz throughput possible with some simple screening technologies, but dramatically faster structural differentiation than conventional LC-MS.</p><p>The goal was therefore not simply to achieve the fastest possible screen, but to find a <strong>middle-throughput analytical regime with enough resolving power to answer chemically meaningful questions</strong>.</p><h4><strong>A 96-well plate in about ten minutes</strong></h4><p>That strategy eventually produced one of the most striking results of the project.</p><p>The droplet cyclic ion mobility–MS platform processed a <strong>96-well plate in roughly ten minutes</strong>, while maintaining quantitative results comparable with the conventional LC-MS workflow used for comparison. According to the interview, this represented an approximately <strong>128-fold increase in analysis speed relative to a three-minute LC-MS run</strong>.</p><p>Laura described the successful plate experiment less as a surprise than as confirmation that the modular development strategy had worked.</p><p>Before reaching that point, the workflow had already been challenged through a sequence of increasingly demanding experiments: droplet formation, ion mobility separation, calibration, matrix-containing calibration, and cross-testing analytes at different concentrations. By the time the complete plate was analyzed, each individual part of the analytical system had already been tested under progressively more realistic conditions.</p><h4><strong>What does that speed mean for directed evolution?</strong></h4><p>The impact becomes even clearer when the workflow is considered at the scale of an entire directed-evolution campaign.</p><p>Laura’s manuscript estimated that a <strong>five-round campaign involving 5,000 variants would require approximately 179 days using the conventional LC-MS workflow but only about 14 hours using the new platform</strong>.</p><p>Compressing months of analytical work into less than a day has consequences beyond laboratory productivity.</p><p>It allows researchers to screen more enzyme variants and therefore sample a larger portion of sequence space. But the resulting datasets may also become increasingly valuable for computational approaches.</p><p>Rather than retaining information only about the best-performing enzyme variant, researchers can preserve data describing variants that performed poorly as well as those that succeeded. When genotype and phenotype information remain linked through the well-plate workflow, these larger datasets can potentially provide richer input for machine-learning models designed to guide subsequent rounds of enzyme evolution.</p><p>Faster analysis therefore does more than accelerate an existing experiment—it can change the scale and design of the experiment itself.</p><h4><strong>Balancing ion mobility resolution and signal</strong></h4><p>Increasing cyclic ion mobility separation time can improve resolution, but it also introduces an important trade-off: additional passes can reduce signal.</p><p>Laura optimized this balance experimentally by continuously infusing mixtures containing both isomers and progressively adjusting the ion mobility conditions. After tuning parameters such as wave height and velocity, increasing the separation to <strong>three passes</strong> provided baseline resolution at the high analyte concentrations used during method development.</p><blockquote><p><strong>Concentration, however, also mattered.</strong></p></blockquote><p>At higher ion populations, space-charge effects could broaden peaks and reduce the baseline separation. This meant that the optimal number of passes could not be selected independently of the concentration range required by the final assay.</p><p>Her broader advice for optimization is therefore application-driven: decide first what the analytical method actually needs to accomplish.</p><p>More speed will almost always require sacrificing something—resolution, signal intensity, quantitative precision, or another performance parameter. The key is to identify which compromise the application can tolerate and then optimize the system around that requirement.</p><h4><strong>Solving droplet carryover with a practical compromise</strong></h4><p>Droplet-based workflows present their own engineering challenges, including carryover between neighboring samples.</p><p>In Laura’s system, analytes showed little tendency to partition into the fluorinated oil separating aqueous droplets within the Teflon tubing. The more troublesome carryover occurred closer to electrospray ionization, where a small amount of sample could remain associated with the interface and appear when the next droplet arrived.</p><p>Rather than adding excessive engineering complexity to an already elaborate platform, the researchers adopted a pragmatic solution: a <strong>sacrificial wash droplet</strong> between analytical samples.</p><p>It is an example of a recurring theme throughout the project. The objective was not to construct the theoretically most sophisticated droplet system, but to create a screening workflow that remained sufficiently robust, reproducible, and practical for large numbers of samples.</p><h4><strong>High-throughput analysis also requires high-throughput data processing</strong></h4><p>Accelerating the mass spectrometry experiment created another bottleneck: the data.</p><p>The instrument produced a continuous intensity-versus-time trace rather than a neatly organized well-plate dataset. With small experiments, Laura could manually identify individual droplets and process the results in spreadsheets. That approach quickly became unrealistic as sample numbers increased.</p><p>The solution emerged through collaboration with an undergraduate mentee, Aiden, who helped develop a dedicated software tool for processing the continuous traces.</p><p>Laura defined how the software should behave and how the analytical information should be organized, while Aiden developed the computational implementation. The workflow itself was subsequently adjusted to make automated data processing more reliable—for example, by introducing marker columns that allowed the software to recognize the end of each plate row.</p><p>The resulting tool can accept the acquired traces together with information about plate dimensions and replicates and automatically return parameters including <strong>peak identity, duration, and the corresponding well position</strong>. A later version also generated an automatically populated heat map.</p><p>The experience illustrates how improving analytical throughput often requires simultaneous development of instrumentation, experimental design, and informatics. Making the measurement faster is useful only if the resulting data can be processed at a comparable speed.</p><h4><strong>Mentoring became part of the scientific process</strong></h4><p>The software project also reflects another theme Laura emphasized throughout the interview: the value of mentoring.</p><p>Several younger researchers contributed directly to the development of the final platform. Laura described mentees not simply as additional hands in the laboratory but as scientists capable of proposing their own hypotheses and experimental ideas.</p><p>Working with undergraduate researchers also influenced the way she organized experiments.</p><p>Because their available laboratory time was limited, each task needed to have a clear purpose. That encouraged a more disciplined approach to experimental planning: instead of performing experiments simply because they could be done, the team had to ask which experiment would most efficiently answer the next important question.</p><p>In that sense, mentoring became another mechanism for improving the research itself.</p><h4><strong>The next step: continuous, automated screening</strong></h4><p>Despite the dramatic increase in analytical speed, the current workflow still includes manual operations such as loading tubing and connecting the sample stream to the mass spectrometer.</p><p>The next engineering challenge is therefore automation.</p><p>Laura described ongoing work using the <strong>Venturi effect</strong> to pull samples directly from wells into the droplet system. Building on previous work in the laboratory with 96-well plates, she has already tested this approach with as many as <strong>2,000 samples</strong>.</p><p>The long-term direction is clear: continuous and robust droplet generation, automated handling of thousands of samples, rapid ion mobility separation, mass spectrometric detection, and automated reconstruction of the resulting data into plate-based outputs.</p><p>Combining those elements could move the system closer to the type of large-scale screening required for increasingly ambitious biocatalysis campaigns.</p><h4><strong>Learning mass spectrometry one problem at a time</strong></h4><p>Laura also reflected on the broader experience of developing the platform during her PhD.</p><p>Ion mobility and mass spectrometry initially appeared intimidating, particularly because they combine concepts from analytical chemistry, physical chemistry, separations, instrumentation, and electrical engineering. What eventually changed was not simply learning more facts, but developing the ability to move repeatedly between theory and experiment.</p><p>An unexpected result sends the researcher back to the underlying theory. A better understanding suggests a modified experiment. That experiment creates another observation, gradually building intuition about how the system behaves.</p><p>Her advice to early-career scientists is therefore to accept that this process takes time.</p><p>Advanced analytical techniques may initially appear overwhelming, but understanding develops incrementally through repeated interaction between theory, experimentation, failure, and refinement. Equally important, she emphasized the role of the supportive ion mobility–mass spectrometry community in making a technically demanding field more approachable for young researchers.</p><p>From the first inconsistent droplets to a platform capable of processing thousands of samples, that iterative mindset ultimately shaped the entire project.</p><blockquote><p><strong>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</strong></p></blockquote><blockquote><h4><strong>Concentrating on Chromatography Podcast</strong></h4><p>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!</p><p>You can find <strong>Concentrating on Chromatography Podcast </strong>in podcast apps:</p><ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL"><strong>Spotify</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185"><strong>Apple podcast</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography"><strong>podscan</strong></a></li></ul><p>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos"><strong>YouTube channel</strong></a></p></blockquote>

Droplet Cyclic Ion Mobility Mass Spec: Compressing Months of Enzyme Screening Into Just 14 Hours

ISC 2026 - Day 3

Article

Events

Video

Scientists

Interview

The International Symposium on Chromatography (ISC) represents the oldest conference series focussing on separation science. ISC symposia have been organised since 1956 in each even year. ISC is internationally recognised as one of the premier meeting series for discussion of all modes of chromatography and separation science with a broad coverage of techniques and applications.

International Symposium on Chromatography - (ISC)

Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

Organomation

Thermo Scientific Xcalibur Software

Confidently control, acquire, and interrogate data from a range of Thermo Scientific LC-MS systems and related instruments using Thermo Scientific Xcalibur software.

<div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>Acquire high-quality data, regardless of your mass spectrometry platform</strong></h3></div></div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><p><strong>Confidently control, acquire, and interrogate data from a range of Thermo Scientific LC-MS systems and related instruments using Thermo Scientific Xcalibur software.</strong></p><p>With simple method set-up, data acquisition, in-depth data interrogation and reporting tools as well as seamless integration to a range of additional Thermo Scientific application-specific software and cloud-based tools, Xcalibur software serves as the powerful, yet easy-to-use platform for your LC-MS analyses.</p><div><h3><strong>Key benefits of Xcalibur data acquisition software</strong></h3><h5><strong>Comprehensive toolset and landing page for all your installed applications</strong></h5><p>With a homepage that conveniently hosts all your installed applications and provides easy access to instrument control, method development, data acquisition, and reviewing, Xcalibur software makes it quick and easy to navigate through your workflows.</p><h5><strong>Ad-hoc data reviewing and quantitative capabilities</strong></h5><p>When you need to interrogate your data—from elemental compositions, plotting chromatograms, spectral views, performing library searches and much more—or perform basic quantitation, the <strong>FreeStyle and Quan Browser applications included with the Xcalibur software</strong> allow you to gain insights into your data.</p><h5><strong>Integration with cloud-based tools for productivity</strong></h5><p>The landing page for the Xcalibur software not only serves as the configurable portal to your applications, you can also receive application update information, ensuring that you have the latest version of software. Additionally, cloud-based applications allow you to remotely monitor your systems and drive productivity.</p><h3><strong>About Xcalibur data acquisition software</strong></h3><div><p>The <strong>customizable landing page (or Roadmap View) </strong>enables easy access to all your installed applications, from those included with Xcalibur software to your application-specific software packages.</p><p>Not only can you receive notification when there is a new version of any installed application, you can also access the <a target="_blank" rel="noopener noreferrer" href="https://thermo.flexnetoperations.com/control/thmo/login" aria-label="XApp Store - open in a new tab" data-uw-rm-ext-link="" uw-rm-external-link-id="https://thermo.flexnetoperations.com/control/thmo/login$xappstore"><strong>XApp Store</strong></a> for more information on the latest applications and try many of them for free for 60 days.</p><p>A host of<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong> cloud-based applications </strong></a>are available from the Roadmap View, including <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/lc-ms-data-acquisition-software/xcalibur-data-acquisition-interpretation-software.html?open=almanac#almanac"><strong>Almanac</strong></a>, which allows for web- or smartphone-based monitoring of your MS.</p><figure class="image"><img style="aspect-ratio:740/400;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_35361ffe4b.jpg" alt="Thermo Scientific™ Xcalibur™ Software: The customizable landing page (or Roadmap View)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_35361ffe4b.jpg 245w," sizes="100vw" width="740" height="400"></figure><div><p>Regardless of the experimental design, it should be easy to set-up your mass spectrometer to acquire high-quality data. <strong>The Method Editor allows you to quickly and simply create acquisition methods</strong> that control the necessary parameters and drive your acquisition requirements.</p><p>For the <strong>latest generation of mass spectrometers,</strong> there are numerous <strong>pre-configured method templates </strong>arranged by application area. These methods allow users of any experience level to acquire data relevant to their questions. Alternatively, the templates can be used as a starting point to facilitate rapid method development. Each method covers all instrument parameters as well as those for data acquisition, reducing complexity of set up.</p><figure class="image"><img style="aspect-ratio:740/410;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_2_baa5610a5d.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_2_baa5610a5d.jpg 245w," sizes="100vw" width="740" height="410"></figure><div><p>Modern visualization tools allow you to rapidly answer questions as you qualitatively interrogate your data.</p><p>The <strong>FreeStyle application,</strong> <strong>provided with the Xcalibur software</strong>, allows you to interact with your data from simple chromatographic detection and integration to spectral library searching, spectral deconvolution or diagnostic plots.</p><figure class="image"><img style="aspect-ratio:740/400;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_3_221d41f756.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_3_221d41f756.jpg 245w," sizes="100vw" width="740" height="400"></figure><div><p><strong>For rapid quantitation of a small number of targets, </strong><a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/lc-ms-data-acquisition-software/xcalibur-data-acquisition-interpretation-software.html?open=quan#quan"><strong>Quan Browser</strong></a><strong>, included with the Xcalibur software, </strong>allows you to quickly identify component peaks, determine integration criteria, and visualize calibration curves, integrations, and results.</p><p><strong>Xcalibur software allows you to interactively edit </strong>processing parameters, report data and rapidly access your quantitative information while processing your quantitation sequences.</p><figure class="image"><img style="aspect-ratio:740/410;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_4_40201472f4.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_4_40201472f4.jpg 245w," sizes="100vw" width="740" height="410"></figure><h3><strong>FreeStyle data review application for Xcalibur software</strong></h3><div colctrl-id="2-1"><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><strong>For the qualitative analysis of any mass spectral data (.raw or .sld) in a highly visual environment, FreeStyle allows you to display chromatograms and spectra, detect and integrate chromatographic peaks, search mass spectral libraries, simulate mass spectra, subtract background spectra, apply scan filters, annotate plots with text and graphics, create and save layouts, and view the status of various instrument parameters during data acquisition.</strong></p></div></div></div></div><figure class="image"><img style="aspect-ratio:800/195;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_5_6a0f093b2f.jpg" alt="Thermo Scientific™ Xcalibur™ Software: FreeStyle data review application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_5_6a0f093b2f.jpg 245w," sizes="100vw" width="800" height="195"></figure><div><p>With a familiar interface, the tools needed to access the information stored in your data are readily accessible. <strong>HRAM</strong> data intelligence means that <strong>data is displayed according to the mass accuracy of the MS system used to acquire it.</strong></p><p><strong>When it comes to visualizing your data, </strong>make use of unlimited plots, quick creation of plots from spectra, spectral annotation with structures, text and graphics, trending/diagnostic plots for status parameters, and scan header entries; float/dock/hide multiple windows and split across monitors to really get the most out of your data.</p><figure class="image"><img style="aspect-ratio:740/400;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_6_e6a704b2dc.jpg" alt="Thermo Scientific™ Xcalibur™ Software: FreeStyle data review application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_6_e6a704b2dc.jpg 245w," sizes="100vw" width="740" height="400"></figure><p><strong>Create and customize highly visual map views of complex datasets</strong>, with simple modification of any plots and data views. Then use those views to generate your own visual reports, enhancing your insights.</p><figure class="image"><img style="aspect-ratio:740/420;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_7_1ac807c5fa.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_7_1ac807c5fa.jpg 245w," sizes="100vw" width="740" height="420"></figure><p><strong>High-resolution protein mass spectral data </strong>can be deconvoluted using <strong>the Xtract deconvolution algorithm</strong>, contained in the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1837"><strong>Thermo Scientific BioPharma Finder</strong></a><strong> software</strong> to obtain the intact mass and a single, deconvoluted mass spectrum for the protein components within the charge state envelope.</p><figure class="image"><img style="aspect-ratio:740/420;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_8_c6820a5e8c.jpg" alt="Thermo Scientific™ Xcalibur™ Software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_8_c6820a5e8c.jpg 245w," sizes="100vw" width="740" height="420"></figure><div><p>Discovering what is in your data doesn’t need to be challenging. The ability to search the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a><strong> mass spectral library,</strong> <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1760"><strong>mzVault</strong></a>,<strong> or NIST </strong>with a single-click means that compound identification from MS and MS<sup>2</sup> data is quick and easy. You can also export spectral data to the NIST application.</p><p>Elemental compositions can be calculated using MS and MS<sup>2</sup> data, with isotopic simulations for added confidence.</p></div><div><h3><strong>Quan Browser application for Xcalibur software</strong></h3><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><strong>When you require a quick answer, the Quan Browser, included in the Xcalibur software, allows you to determine the concentration of analytes within your sample set when there is a small number of targets.</strong></p><figure class="image"><img style="aspect-ratio:800/195;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_9_781c806926.jpg" alt="Thermo Scientific™ Xcalibur™ Software: Quan Browser application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_9_781c806926.jpg 245w," sizes="100vw" width="800" height="195"></figure><p>You can <strong>review or rework </strong>your component peak identifications and integration criteria, calibration curves for your quantitation standards, your standards, QC samples, blanks and unknowns with interactive editing of processing parameters.</p><figure class="image"><img style="aspect-ratio:740/385;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Xcalibur_Software_10_55b04eedae.jpg" alt="Thermo Scientific™ Xcalibur™ Software: Quan Browser application for Xcalibur software." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Xcalibur_Software_10_55b04eedae.jpg 245w," sizes="100vw" width="740" height="385"></figure><p><strong>The Quan Browser, included in the Xcalibur software,</strong> incorporates a results view where you can observe the data used to create calibration curves and peak integrations. Quantitation sequences, including bracketed sequences, can be processed, and any processing parameters interactively edited with the results are dynamically updated.</p><p>For <strong>larger quantitative studies</strong> we recommend either<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/77"><strong>Thermo Scientific TraceFinder software</strong></a><strong> </strong>for high-throughput analyses, or <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76"><strong>Thermo Scientific Chromeleon Chromatography Data System (CDS) software</strong></a> for regulated studies, such as regulated bioanalysis, which require tools for compliance.</p></div></div></div></div></div></div></div></div></div></div></div></div>

Thermo Scientific Compound Discoverer software

Compound Discoverer software addresses small molecule identification needs and workflows including untargeted metabolomics, drug metabolism, impurity, E&L, environmental, food & beverage, and forensic research.

Thermo Scientific mzVault offline advanced mass spectral database

mzVault provides you the capabilities to access and search mzCloud’s MS2-level spectral data off-line, or to store your own spectral library information.

<p><strong>Your data has inherent value, as it is the knowledge that you acquire. mzVault provides you the capabilities to access and search mzCloud’s MS<sup>2</sup>-level spectral data off-line, or to store your own spectral library information. Spectral information, and your knowledge, can be automatically sent from </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a><strong> into a new, or existing library which can then be searched using Compound Discoverer or</strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong> Mass Frontier.</strong></a></p><div><p>When you need to curate proprietary libraries and ensure the highest quality data, <strong>Mass Frontier</strong> provides you with the same tools used to curate <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a>, meaning that <strong>you can ensure your spectral data has been filtered, recalibrated, averaged and fully structurally annotated, ready to share your knowledge within your organization.</strong></p></div><div><h3><strong>Key benefits</strong></h3><h5><strong>Know more unknowns off-line</strong></h5><p><strong>Sometimes it isn’t possible to be online and access </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a><strong>.</strong> mzVault contains all MS<sup>2</sup>-level spectral data contained within mzCloud to allow for confident unknown identifications.</p><h5><strong>Create and share your knowledge&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p><strong>Create, store and search your own in-house spectral libraries. </strong>Once you have identified unknowns through mzLogic, or you have your proprietary compounds, make sure that this valuable information can be leveraged.</p><h5><strong>Have I seen this unknown before?&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p><strong>Even with extensive online structural databases, and mzLogic to propose a structure or sub-structure, there can be occasions where it remains an unknown.</strong> Store this information and re-use to see if you have previously observed any unknowns.</p><h5><strong>Curate your high-quality data</strong></h5><p><strong>When it is important to curate your valuable data</strong>, the <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/mass-spectral-libraries.html?open=curator">Curator</a> tool from Mass Frontier allows you to use the same tools used to populate <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a>, ensuring the creation of your own high-quality mzVault proprietary libraries.</p></div>

Thermo Scientific Metabolika module for easy pathway analysis

Create, edit and search reaction pathways using the new Metabolika module to take your knowledge to the next level. 

<div style="height:auto;" id="metabolika"><div><div><div><div colctrl-id="7-1"><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><strong>Create, edit and search reaction pathways using the new Metabolika module to take your knowledge to the next level. With publication-quality graphical functionality to create and edit reaction pathways within</strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong> Thermo Scientific Compound Discoverer 3.0</strong></a><strong> or greater, and </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Thermo Scientific Mass Frontier Software 8.0</strong></a><strong> or greater, and more than 370 curated and annotated biochemical pathways for a range of organisms, it is easier than ever to share your pathway knowledge.</strong></p><p>The Metabolika Module is also utilized within substructure searching, fragmentation prediction and for <strong>mzLogic</strong>, further increasing the chances of unknown compound identification.</p></div></div></div></div><div><p>When used within the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer software</strong></a>, this module can take your data visualization to a new level with interactive statistical data overlay, including metabolic flux analysis data.</p><div><h3><strong>Key benefits</strong></h3><h5><strong>Create, edit and store reaction pathways&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>From the included &gt;370 metabolic pathways, through to your own reaction pathways, easily curate and edit your knowledge for future use within both the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier</strong></a> software.</p><h5><strong>Access knowledge of &gt;370 metabolic pathways&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>The combined knowledge of the included pathways isn’t just restricted to Metabolika, the information is also fully utilized for substructure searching as well as with<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1762"> <strong>mzLogic</strong></a><strong>.</strong></p><h5><strong>Map pathways to your data, as well as visualize your statistical information</strong></h5><p>Pathways can be easily mapped to your detected compounds within the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer software</strong></a>, with highly visual and interactive representation. Additionally, your statistical information from flux analyses can be displayed within Metabolika pathways for easy data visualization.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Metabolika_module_for_easy_pathway_analysis_781f11c926.jpg" alt="Thermo Scientific Metabolika module for easy pathway analysis: An example of Metabolika pathways analysis tool with flux analysis data included, showing qualitative flux analysis of exchange rates from a stable isotope labeling experiment." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Metabolika_module_for_easy_pathway_analysis_781f11c926.jpg 245w," sizes="100vw" width="960" height="500"></p></div></div></div></div></div></div>

Thermo Scientific mzLogic Data Analysis Algorithm

mzLogic solves a key challenge in small molecule identification by enabling the characterization of unknowns when high-quality MSⁿ data yield no matches in spectral libraries.

<div style="height:auto;" id="mzlogic"><div><div style="display:block;"><div><div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>Accelerate unknown small molecule identification with mzLogic</strong></h3></div></div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><p><strong>The mzLogic data analysis algorithm addresses one of the biggest challenges for small molecule characterization and identification-when, despite having sufficient high-quality and high-resolution MS<sup>n</sup> mass spectrometric data, there is no match in any spectral library, meaning you have an unknown.</strong></p><p>mzLogic combines the extensive fragmentation information available within the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud</strong></a> online advanced mass spectral library with the information in numerous online structural databases. As a result, mzLogic allows you to take thousands of potential structural candidates and automatically rank them based upon spectral similarity and sub-structural information – delivering confident candidates for your true unknowns.</p></div></div></div></div></div></div><div><h3><strong>Key benefits</strong></h3><h5><strong>Combine the benefits of multiple libraries and databases&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>The ability of mzLogic to combine the extensive, high-quality and high-resolution accurate mass, multi-stage (MS<sup>n</sup>) fragmentation information in <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud</a>, with numerous online structural databases provides the greatest chance to confidently identify unknowns.</p><h5><strong>Take lengthy guesswork out of unknown identification&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>mzLogic uses the data from <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud </a>and multiple other data sources to identify common sub-structural features from your MS<sup>n</sup> data, explaining as much of your fragmentation data as possible before the next stages of identification.</p><h5><strong>Go from thousands of potential candidates to a handful</strong></h5><p>Using elemental composition to search structural databases can return thousands of potential candidates; mzLogic uses MS<sup>n</sup> data and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud</a> fragmentation database information to explain as much structural information as possible, reducing thousands of potentials to a handful of confident candidates based upon structural similarity.</p><div><div><figure class="image"><img style="aspect-ratio:740/345;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_05478bcf43.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: Take the guesswork out of small molecule unknown identification through the combination of mzLogic algorithm and the high quality, structurally diverse mass spectral fragmentation information contained within mzCloud, to propose and confirm structural identification." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_05478bcf43.jpg 245w," sizes="100vw" width="740" height="345"></figure><h3><strong>How does your data relate to mass spectral libraries?</strong></h3><div style="height:auto;" id="massspectrallibraries"><div><div><div><div><p>Whether you are working to better characterize and understand <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/pharma-biopharma/pre-clinical-and-clinical-drug-testing/metabolite-identification.html">metabolism and drug analytes</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/food-beverage/food-analytical-testing/food-contact-materials.html">food and environmental samples</a>, <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/forensics/antidoping/doping-control-retrospective-analysis.html">designer drugs</a> or <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/pharma-biopharma/pharma-biopharma-learning-center/pharmaceutical-qa-qc-information/extractables-leachables-information.html">extractables and leachables</a>, the use of mass spectral libraries and online databases can help identify compounds in your samples. However, with increasing crossover between compound classes, new impurities, subtle compound transformations or metabolism and degradation products, sometimes no compelling match is made to the libraries you use.</p><p>Acquiring comprehensive high-resolution accurate- mass MS/MS and MS<sup>n</sup> data has been simplified with data acquisition tools such as <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1763"><strong>AcquireX</strong></a>, and general hardware improvements. Obtaining mass spectral libraries that contain broad chemical diversity, extensive fragmentation and reliable and concise data has been the biggest challenge.</p><p>The<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764">mzCloud</a> mass spectral database is the largest (in terms of total spectra and data per compound) publicly available online mass spectral fragmentation library. It contains high-resolution accurate-mass (HRAM) spectra, including exhaustive high-resolution MS/MS and multi-stage MS<sup>n</sup> spectra. Each entry contains considerable metadata and, most importantly, has been extensively curated (i.e., filtered, recalibrated, averaged, and annotated) to provide absolute confidence in the quality of its contents.</p><figure class="image"><img style="aspect-ratio:908/323;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_2_959e175e53.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: High quality MS, MS/MS and MSn data can be used to interrogate the fully curated and annotated mass-spectral fragmentation library, mzCloud. Common substructural information can be used from the extensive fragmentation information to aid in unknown compound identification using mzLogic algorithm." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_2_959e175e53.jpg 245w," sizes="100vw" width="908" height="323"></figure><h3><strong>How does mzLogic identify unknowns?</strong></h3><div style="height:auto;" id="identifyunknowns"><div><div><div><div><p>Each <strong>mzCloud library</strong> entry contains extensive fragmentation information, which has been acquired using both a range of collision energies and fragmentation techniques (collision induced and higher energy collisional dissociation, CID and HCD). When this information is combined with the broad chemical diversity of library entries, the likelihood that some or all of an unknown structure can be matched against an existing fragment within the library increases.</p><figure class="image"><img style="aspect-ratio:927/394;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_3_b50ae0af70.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: mzLogic reduction of putative candidates using online structural databases and the extensive fragmentation information contained within mzCloud." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_3_b50ae0af70.jpg 245w," sizes="100vw" width="927" height="394"></figure></div></div></div></div></div><div style="height:auto;" id="identifyunknowns"><div><div><div><div><p>As shown in the figure above, mzLogic is available as part of the<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong> Mass Frontier software</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer software</strong></a> packages, and works as follows:</p><ol style="list-style-type:upper-latin;"><li>Online databases, such as <a target="_blank" rel="noopener noreferrer" href="http://www.chemspider.com" aria-label="ChemSpider - open in a new tab" data-uw-rm-ext-link="" uw-rm-external-link-id="http://www.chemspider.com/$chemspider">ChemSpider</a>, which contains more than 70 million structures, can be searched using an elemental composition. Even with the ability to use the high-resolution and accurate mass capabilities of <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;search=orbitrap"><strong>Orbitrap mass analyzers</strong></a> to reveal fine isotopic information, many hundreds or even thousands of potential structures could match the elemental composition.</li><li>The high-quality fragmentation information contained within mzCloud is <strong>compared to experimental data.</strong></li><li>mzLogic rapidly identifies structurally similar fragments through forward and reverse searches.</li><li>Based upon the identified sub-structures, the structural candidates from the online search are ranked in order of how much of the structure can be explained through the sub-structural matching.</li><li>This ranking based upon the use of real data, takes many hundreds or thousands of potential candidates and reduces them to a significantly smaller list of putative structures, with visualization tools to explain the ranking and structure accounted for by library fragments.</li></ol><div><div><h3><strong>What is the next step to confirm any potential candidates?</strong></h3><div style="height:auto;" id="potentialcandidates"><div><div><div><div><p>The ranked results from using mzLogic will either show that all the structure can be accounted for in that candidate or that there is still some structural information from the proposed candidate that cannot be accounted for. MS/MS and/or MS<sup>n</sup> fragmentation spectra typically contains substantial amounts of structural information, which can be further investigated using <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier software</strong></a>.</p><p>Where a complete, in-depth analysis of MS<sup>n</sup> fragmentation data is required,<strong> </strong>Mass Frontier software provides visualization and understanding of fragmentation pathways using extensive MS<sup>n</sup> data. The<strong> Fragments and Mechanism tool </strong>simulates unimolecular dissociation of the proposed structures, including rearrangements and predicted fragments, and can be used to explain the experimental fragmentation data through fragment annotations to help identify which candidates are indeed plausible. Rather than coded fragmentation algorithms, <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier software</strong></a><strong> bases fragmentation on mechanisms published in more than 95% of all peer-reviewed scientific journals.</strong></p><p>This approach adds greater certainty to putative structure identification through the deep fragmentation and characterization information provided by the high-quality data and extensive spectral trees in <strong>mzCloud.</strong></p><figure class="image"><img style="aspect-ratio:673/324;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_4_1d09064e9e.jpg" alt="Thermo Scientific mzLogic Data Analysis Algorithm: Confident structural elucidation using automated fragmentation annotation of MSn spectral trees. Fragmentation pathways can also be predicted based upon submission of a structure and makes full use of the HighChem Fragmentation Library. This library contains information from more than 52,000 fragmentation schemes, 217,000 individual reactions, 256,000 chemical structures and 216,000 decoded mechanisms from peer reviewed literature." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Logic_Data_Analysis_Algorithm_4_1d09064e9e.jpg 245w," sizes="100vw" width="673" height="324"></figure></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Thermo Scientific AcquireX Intelligent Data Acquisition Workflow

The Thermo Scientific AcquireX workflow enhances LC-MSn data acquisition by automating and connecting experiments for efficient, intelligent small-molecule analysis across five different routines.

Thermo Scientific mzCloud Mass Spectral Library

mzCloud is a high-resolution, accurate-mass MSⁿ spectral library that helps identify unknown compounds when no reference standards are available, especially in complex studies.

<div colctrl-id="1-1"><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>Confident identification for unknown small molecules</strong></h3></div></div><div container-id="cq-colctrl-lt8" comp-id="B2"><div><p><strong>Mass spectral libraries and databases may be required to identify unknown compounds when reference standards are not available. This is particularly true for studies in areas such as metabolomics, forensic toxicology, food &amp; beverage, environmental emerging contaminants or extractables &amp; leachables.</strong></p></div></div></div></div><div><p>In these situations, a mass spectral library, particularly a high-resolution and accurate-mass MS<sup>n</sup> fragmentation library, such as the mzCloud mass spectral library, can provide the information required to confidently identify unknown compounds.</p><h3><strong>Key benefits</strong></h3><h5><strong>Confidence for unknown identification</strong></h5><p>Comprehensive curation of all library content with extensive, fully annotated and searchable fragmentation spectra to provide confidence in your results.</p><h5><strong>Know more unknowns&nbsp;&nbsp;&nbsp;&nbsp;</strong></h5><p>Identify unknowns with automated deconvolution and library searching against extensive fragmentation spectra covering a wide chemical space, including small molecule applications.</p><h5><strong>From spectra to structure&nbsp;&nbsp;</strong></h5><p>With solutions to cover infusion or LC-MS, nominal or high-resolution data, you can be sure that your MS<sup>n</sup> spectra will provide you with actionable results, even when there is no spectral library match.</p><h5><strong>Flexibility for research and routine applications</strong></h5><p>Search for free online at <a target="_blank" rel="noopener noreferrer" href="http://www.mzcloud.org/" aria-label="mzCloud.org - open in a new tab" data-uw-rm-ext-link="" uw-rm-external-link-id="http://www.mzcloud.org/$mzcloud.org"><span style="white-space:nowrap;">mzCloud.org</span></a>, or directly access through the Thermo Scientific Compound Discoverer and Mass Frontier software packages. Not online? mzVault provides you with the ability to perform offline spectral library searching.</p><figure class="image"><img style="aspect-ratio:1398/1002;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_ecc79fe9bf.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: mzCloud is easily and freely accessed online. Anyone can search, review, and use its extensive information. Note that the numbers above were correct at time of publication. For the most up to date numbers visit mzCloud.org." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_ecc79fe9bf.jpg 218w," sizes="100vw" width="1398" height="1002"></figure><h3><strong>What is in the mzCloud mass spectral library?</strong></h3><div style="height:auto;" id="whatismzcloud"><div><div><div><div><p>mzCloud is an extensively curated, high-quality mass spectral fragmentation library that contains significant amounts of spectra and metadata for each entry. Each entry also includes exhaustive high-resolution <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/mass-spectral-libraries/mzcloud-mass-spectral-library.html?open=multi-stage-fragmentation#multi-stage-fragmentation">MS/MS and multi-stage MS<sup>n</sup> spectra</a>, which have been acquired at various collision energies and using different fragmentation techniques.</p><p><strong>Each raw mass spectrum</strong> has been filtered to remove noise, recalibrated to ensure absolute mass accuracy, fully annotated and <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/cz/en/home/industrial/mass-spectrometry/liquid-chromatography-mass-spectrometry-lc-ms/lc-ms-software/mass-spectral-libraries/mzcloud-mass-spectral-library.html?open=content-curation#content-curation">curated</a> to ensure quality and consistency.</p><p>Finally, the contents of the library are <strong>updated weekly</strong> to provide coverage of a wide chemical space, ensuring relevance to all small-molecule application areas.</p></div><div><figure class="image"><img style="aspect-ratio:740/410;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_2_77a6795676.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: Example of the Mass Frontier software utilizing the contents of mzCloud to identify an unknown compound through a sub-structural search; the experimental fragmentation spectrum (top left) is searched against the mzCloud mass spectral database, with corresponding spectral hits shown in a given spectral tree (top, middle), with supporting spectral information (bottom left) and the identified precursor structure from the matched fragmentation spectra (bottom right), and the library compound structure from which the fragment originated (top right)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_2_77a6795676.jpg 245w," sizes="100vw" width="740" height="410"></figure></div><div><p>Distinguishing among types of databases is important, as the contents and quality of the contents typically differs significantly and may have an impact upon the reliability of the data and the confidence in any results obtained.</p><ul><li><strong>Chemical database</strong>: A collection of chemical information with, at minimum, a name and a formula. It may also include structures, elemental composition, retention time information, and additional biological or chemical metadata.</li><li><strong>Accurate-mass (AM) database</strong>: An AM database contains accurate mass formulas.</li><li><strong>Accurate-mass retention-time (AMRT) database</strong>: An AMRT database contains accurate mass and retention time(s) for specific analytical methods.</li><li><strong>Library</strong>: A library is a database (AM or AMRT) that, in addition to the above, also contains reference mass spectral data, MS/MS, and/or MS<sup>n</sup> data on compounds.</li></ul><h3><strong>Multi-stage fragmentation in the mzCloud mass spectral library</strong></h3><div style="height:auto;" id="multistagefragmentation"><div><div><div><div><figure class="image"><img style="aspect-ratio:740/420;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_3_792a9d9a59.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: A schematic representation of a spectral tree within mzCloud. The MS spectra are acquired for a given compound in multiple polarities (ESI +/-), and for a range of adducts. Each precursor is exhaustively fragmented using different fragmentation techniques (CID, HCD) and at multiple collision energies to produce collections of fragmentation spectra at each fragmentation level (MS2, MS3, MS4 etc.), generating a comprehensive spectral tree of information for each library entry." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_3_792a9d9a59.jpg 245w," sizes="100vw" width="740" height="420"></figure><p>mzCloud is an<strong> all-encompassing mass spectral library </strong>with content based on a wide chemical space (therefore covering all small-molecule application areas), and acquiring high-resolution and accurate-mass data at various collision energies, for multiple adducts, using CID and HCD. Approximately 10–20 collision energies are included for every precursor ion; this multi-stage, multidimensional MS<sup>n</sup> spectral data are arranged into spectral trees, which are both extensive and comprehensive, typically containing many hundreds to thousands of spectra for each compound, with many exceeding MS<sup>4</sup> fragmentation steps.</p><p>The extensive data for each library entry is critical for accurate compound identifications, matching experimentally obtained data to that of the library contents, with fit confidence and data visualization <strong>provided in the</strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong> Compound Discoverer</strong></a><strong> and </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier</strong></a><strong> data analysis software.</strong> Additional tools in Compound Discoverer and Mass Frontier software, including <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1762"><strong>mzLogic</strong></a>, use the extensive fragmentation information to confidently identify unknowns that cannot be identified based upon the spectral library compound entries alone.</p><h3><strong>Content curation in the mzCloud mass spectral library</strong></h3><div style="height:auto;" id="contentcuration"><div><div><div><div><figure class="image"><img style="aspect-ratio:740/342;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_4_c7064c2ca2.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: An example of the mass spectral content curation tool available within the Mass Frontier software. It contains all the functionality used to manually curate the content contained within mzCloud. The power of mzCloud lies in both the extent and high quality of its content, which helps make confident compound identifications." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_4_c7064c2ca2.jpg 245w," sizes="100vw" width="740" height="342"></figure><p>Despite the fact that <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;manufacturerItems=3&amp;search=orbitrap"><strong>Thermo Scientific Orbitrap-based mass analyzers</strong></a> routinely deliver sub 3-ppm mass errors, there is a small amount of inaccuracy in any experimental data used to search against a library; these errors would be compounded if the library itself also contained data with mass errors. The compounded errors would mean that any identifications could be harder to make or have lower confidence due to match scores being higher.</p><p>Curating the content within mzCloud guards against error and variability in the reference spectra against which data is compared. <strong>The process of curation involves:</strong></p><ul><li>Averaging multiple, individually acquired spectra</li><li>The removal of mass spectral noise</li><li>Recalibration of the mass spectra based upon the predicted formulas for the fragment ion elemental compositions, based upon the known elemental composition and structure of the precursor ion</li><li>Annotation of all fragment ions with the fragment structure</li><li>Addition of large amounts of metadata, including the source of the data and all original raw data files</li></ul><p>This curation process is performed <strong>for every spectra</strong> - every collision energy, every fragmentation type, every MS<sup>n</sup> level and for each precursor ion. As such, the spectral data in mzCloud is of <strong>exceedingly high quality </strong>and offers significant advantages over crowd-sourced libraries due to the high levels of control.</p><figure class="image"><img style="aspect-ratio:740/350;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_5_0c3fdc4c6c.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: A recalibrated fragmentation spectrum showing no error on the highlighted peak at m/z 213.05462, along with all of the annotation that is provided for each spectra, at each collision energy, for each fragmentation type at each MSn level." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_5_0c3fdc4c6c.jpg 245w," sizes="100vw" width="740" height="350"></figure><div><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><h3><strong>How can I use the mzCloud mass spectral library?</strong></h3><p>Accelerate your small molecule unknown identification studies with <strong>mzCloud</strong>, <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1762"><strong>mzLogic</strong></a>, and the other data analysis and mass spectral prediction tools available in<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong>Compound Discoverer</strong></a> software and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1757"><strong>Mass Frontier</strong></a><strong> </strong>software.</p><p><img style="aspect-ratio:860/261;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_7_a8cefb0028.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: Connectivity of mzCloud and mzVault to Mass Frontier." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_7_a8cefb0028.jpg 245w," sizes="100vw" width="860" height="261"></p><p>The content within mzCloud is accessible through Compound Discoverer and Mass Frontier software packages, provided you have an internet connection. No internet? No problem – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1760"><strong>mzVault</strong></a>, provides you with the MS and MS/MS content of mzCloud in an offline format.</p><div style="height:auto;" id="accessmzcloud"><div><div><div><div colctrl-id="3-1"><div><div container-id="cq-colctrl-lt8" comp-id="B1"><div><p><img style="aspect-ratio:860/242;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_6_ae3c0a28e1.jpg" alt="Thermo Scientific mzCloud Mass Spectral Library: Connectivity of mzCloud and mzVault to Compound Discoverer." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_mz_Cloud_Mass_Spectral_Library_6_ae3c0a28e1.jpg 245w," sizes="100vw" width="860" height="242"></p><p>Due to security concerns or local firewalls, not everyone can connect processing PCs to the internet. With that in mind, the contents of mzCloud are combined into an offline version twice a year. The <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1760"><strong>mzVault</strong></a><strong> </strong>software application helps you access this information. In addition to accessing the offline version of mzCloud, the mzVault application can store and search your high-quality custom in-house (offline) MS/MS spectral libraries.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Thermo Scientific Proteome Discoverer Software

Identify and quantify peptides and proteins in complex biological samples using Thermo Scientific™ Proteome Discoverer™ software. 

<h3><strong>Comprehensive, extensible, and intelligent platform</strong></h3><p><strong>Thermo Scientific Proteome Discoverer Software is the ultimate toolbox for protein research, offering customizable workflows tailored to the complexities of modern proteomics. It simplifies the identification and quantification of proteins in complex biological samples, supporting a wide range of workflows, including peptide and protein identification, post-translational modifications (PTM) analysis, isobaric mass tagging, and label-free quantitation (LFQ). It handles data from diverse acquisition methods, such as data-independent acquisition (DIA), data-dependent acquisition (DDA), and wide window acquisition (WWA), ensuring comprehensive coverage.</strong></p><p><strong>Advanced tools </strong>like INFERYS™ Rescoring and the CHIMERYS™ intelligent search algorithm by MSAID significantly increase identification rates, protein coverage, and the discovery of unique peptides and PTMs. The software enhances protein quantitation for isobaric mass tags and LFQ, supporting multiple database search algorithms and dissociation techniques. Whether analyzing glycopeptides, top-down proteomics, proteoforms, or MS-based structural biology like chemical cross-linking (XL-MS), Proteome Discoverer Software enables scientists to extract deeper biological insights from their data.</p><figure class="image"><img style="aspect-ratio:1131/598;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_7_2221d76acd.jpg" alt="Thermo Scientific Proteome Discoverer Software: Proteome Discoverer software in peer reviewed articles." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_7_2221d76acd.jpg 245w," sizes="100vw" width="1131" height="598"></figure><h3><strong>Key benefits</strong></h3><h5><strong>Customize your data analysis</strong></h5><p>Use the node-based workflow editor to customize your data analysis for maximum coverage and confidence. Integrate database search results from multiple search engines such as SEQUEST™ HT, Mascot, MSAmanda, Byonic™ from Protein Metrics, and<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1756"><strong>Thermo Scientific ProSightPD</strong></a> software. Increase confidence in peptide identification and quantification using INFERYS Rescoring and enable a deeper mining of your DIA, DDA, or WWA data using the CHIMERYS intelligent search algorithm.</p><h5><strong>Perform relative quantitation</strong></h5><p>Measure and report the relative expression levels of isotopically labeled peptides for:</p><ul><li>TMT SPS MS3</li><li>Glycopeptide identification and quantification</li><li>Phosphopeptide identification and quantification</li><li>Top-down proteomics</li><li>Cross-linking</li></ul><p>Confidently and efficiently interpret your data with integrated statistical and visualization tools for a faster time to meaningful results.</p><h5><strong>Extensible workflow tools</strong></h5><p>Utilize third-party nodes and build in customization with the scripting node, while maintaining full integration into the Proteome Discoverer software framework to leverage visualization, statistical analysis, and biological interpretation tools to take your analysis to the next level.</p><figure class="image"><img style="aspect-ratio:1160/533;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_4_4d8ae8fcd2.jpg" alt="Thermo Scientific Proteome Discoverer Software: Extensibility - Connect to external tools via the Scripting Node; Integration with MSstatsTMT via custom script." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_4_4d8ae8fcd2.jpg 245w," sizes="100vw" width="1160" height="533"></figure><h3><strong>Comprehensive tools for proteomic studies</strong></h3><p>With a wide range of database search options and the ability to combine the output from multiple algorithms, Proteome Discoverer software increases confidence in results and decision making through cross-validation. Augment searches with intelligent<strong> INFERYS Rescoring</strong> to increase confidence in peptide identification and quantitation. Whether you acquire your data in <strong>DIA, DDA, or WWA mode, CHIMERYS</strong> <strong>intelligent search algorithm </strong>helps you dig deeper into your data to substantially increase the number of unique peptide identifications, improve protein coverage, extend quantitation capabilities, and uncover new insights.</p><p>Complete sequence coverage and confident identification of post-translational modifications (PTMs) is realized with support for multiple dissociation techniques including collision-induced dissociation (CID), higher-energy collision-induced dissociation (HCD) and electron-transfer dissociation (ETD) in tandem with built-for-purpose search engines.</p><h3><strong>Customizable data analysis workflows</strong></h3><p><strong>Automate and simplify data analysis</strong> through customizable workflows including full support for multiple quantitative workflows. Enjoy experimental flexibility for quantitation by employing isobaric mass tagging with TMT and TMTpro reagent or other isotopic labeling strategies or utilize label-free quantitation techniques. Map quantitative data to biological information through study management and leverage fast, robust algorithms for peak selection and peptide quantification to extract the maximum possible information from quantitative proteomics studies.</p><p>Refine acquisition strategies by generating inclusion and exclusion lists that can be directly imported into instrument methods. Confidently and easily facilitate data comparison, exchange, and verification in compliance with data standards developed by the HUPO Proteomics Standards Initiative (PSI).</p><figure class="image"><img style="aspect-ratio:1232/459;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteomics_Software_Solution_98e62449c5.jpg" alt="Thermo Scientific Proteome Discoverer Software: The workflow system in Proteome Discoverer allows for customizable workflows to analyze complex proteomics data. The workflow system is composed of nodes that can connect in linear or branched pathways. While these workflows are highly customizable, pre-defined workflows for common workflows such as TMT, LFQ, PTM identification and cross-linked peptide ID are included." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteomics_Software_Solution_98e62449c5.jpg 245w," sizes="100vw" width="1232" height="459"></figure><h5><strong>Interactive enrichment table from graphical results to find overrepresented pathways</strong></h5><figure class="image"><img style="aspect-ratio:1344/924;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_3_c01db3165a.jpg" alt="Thermo Scientific Proteome Discoverer Software: Interactive enrichment tables allow for the selection of up- or down-regulated proteins or peptides in any view, including volcano plots, PCA plots, and heat maps, and the visualization of corresponding Reactome pathways from the checked proteins to help derive biological interpretation of results. In addition to Reactome pathways, KEGG and Wikipathways as well as gene ontology terms and protein families can be visualized in the enrichment table." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_3_c01db3165a.jpg 227w," sizes="100vw" width="1344" height="924"></figure><h5><strong>Pathway maps</strong></h5><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_5_c087bb9d6f.jpg" alt="Thermo Scientific Proteome Discoverer Software: Pathways can also be directly visualized, providing biological context and background literature references using pathway maps." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_5_c087bb9d6f.jpg 245w," sizes="100vw" width="1119" height="584"></p><h5><strong>Interactive data visualization</strong></h5><figure class="image"><img style="aspect-ratio:973/879;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Proteome_Discoverer_Software_6_2b32110442.jpg" alt="Thermo Scientific Proteome Discoverer Software: Interactive data visualization." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Proteome_Discoverer_Software_6_2b32110442.jpg 173w," sizes="100vw" width="973" height="879"></figure>

Thermo Scientific LC-MS Data Processing Software

 Thermo Scientific LC-MS software streamlines data analysis with application-specific tools for -omics, pharma, and quant. Gain reliable insights to support decisions.

Thermo Scientific Ardia Platform

Built using cloud technology, the Ardia Platform centralizes information, including scientific data and results, maximizes instrument utilization, and accelerates data analysis to help scientists get closer to the truth.

<h3><strong>Bring your laboratory into a new era of connectivity with the Ardia Platform</strong></h3><p data-start="64" data-end="714"><strong>Digital transformation is a journey driven by the desire to fundamentally improve laboratory working practices by leveraging the latest advances in IT. The Thermo Scientific™ Ardia™ Platform allows the laboratory to harness the same technology.&nbsp;</strong></p><p data-start="64" data-end="714">In an era where laboratories are uncompromising in their pursuit of efficiency, the demand for software that seamlessly connects data, instruments, and scientists is on the rise.</p><p data-start="64" data-end="714">Built using cloud technology, the Ardia Platform centralizes information, including scientific data and results, maximizes instrument utilization, and accelerates data analysis to help scientists get closer to the truth.</p><figure class="image"><img style="aspect-ratio:1440/1127;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_2_4c83f21ef8.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_2_4c83f21ef8.jpg 200w," sizes="100vw" width="1440" height="1127"></figure><h5><strong>Centralize</strong></h5><p>Revolutionize data management by bringing together all your data sources, formats, and applications into one platform. With centralized data, you gain unprecedented control, accessibility, and efficiency, enabling you to make data‑driven decisions with confidence.</p><h5><strong>Unify</strong></h5><p>Say goodbye to the complexities of managing data scattered across various systems and locations. The Ardia Platform integrates with a growing list of software tools and applications for direct data access and automated data transfer, allowing you to harness the power of a unified platform and help eliminate data silos.</p><h5><strong>Streamline</strong></h5><p>Eliminate time‑consuming manual data transfers with automated workflows via the Ardia Platform’s Data Sync tool. Automatically transfer data to and from your repository for applications that are not yet connected so users can focus on what matters most.</p><h5><strong>Collaborate</strong></h5><p>Collaboration goes beyond just centralizing data and integrating software. With a single platform, you can easily share, access, and collaborate on data. Real‑time data updates, shared dashboards, and collaborative tools facilitate efficient teamwork, accelerating project timelines and driving innovation</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_57590fecf7.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_57590fecf7.jpg 245w," sizes="100vw" width="1022" height="450"></p><h3><strong>Data management</strong></h3><p>Securing, managing, and effectively utilizing large volumes of scientific data stored across multiple devices in different formats can be challenging and time-consuming.<br>The Ardia Platform offers robust data management capabilities that address these challenges. With automated central data storage, including backup and archival capabilities, and comprehensive access controls, users can securely access, view, and organize information from various applications more effectively.</p><blockquote><p><strong>webinar: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4962"><strong>Take control of your data and instruments</strong></a></p></blockquote><div><div data-message-author-role="assistant" data-message-id="ba34c04b-e6ae-4d15-ac9e-9e3606bb4933" dir="auto" data-message-model-slug="gpt-4o"><div><div><h4><strong>Centralize your data and enable accessibility and security</strong></h4><h5><strong>Manage</strong></h5><p data-start="64" data-end="990">The Ardia Platform provides secure, single‑point data management with automated transfer of data and results from <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76"><strong>Thermo Scientific™ Chromeleon™ Chromatography Data System</strong></a><strong>, </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1758"><strong>Xcalibur™</strong></a><strong>,</strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1759"><strong> Compound Discoverer™</strong></a><strong>, </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1782"><strong>Proteome Discoverer™</strong></a><strong>,</strong> and<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1837"><strong>BioPharma Finder™ software</strong></a>, as well as third‑party application data via the Ardia Platform’s Data Sync functionality.<br>With single‑point data storage, users can enhance data accessibility, improve data organization and discovery, and reduce or eliminate data duplication.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_3_0ea16b74db.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_3_0ea16b74db.jpg 245w," sizes="100vw" width="1440" height="544"></p><h5><strong>Secure</strong></h5><p data-start="64" data-end="990">Keep data secure and controlled with user login access, system‑generated audit trails, and embedded user and data management tools, customizable to your organization’s specific needs. Streamline your operations and ensure disaster resilience through built‑in capabilities, such as tracking actions and simplifying data backup and archiving.</p></div></div></div></div><h3><strong>Ardia Platform’s Data Viewer</strong></h3><p>The intuitive, web‑based Ardia Platform’s Data Viewer tool provides a <strong>single location</strong> for review of chromatography and mass spectrometry data, delivering consistency across software products integrated with the Ardia Platform.<br>With a new user interface, it’s easy to display chromatograms and spectra, quickly create extracted ion chromatograms, perform peak integration, export spectral data to the<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1764"><strong>mzCloud™</strong></a> library for easy compound annotation, and view diagnostic channels like pump pressure for troubleshooting.<br>Expedite data review with user‑friendly features that include the ability to import a mass list, export plots in .svg format for high‑resolution visualizations, and quickly display linked data‑dependent acquisitions.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_4_9d3c486827.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_4_9d3c486827.jpg 245w," sizes="100vw" width="1918" height="1012"></p><h3><strong>Instrument management</strong></h3><p>Managing a set of individual instruments is often a manual, time-consuming task. Bringing them together in one place, the Ardia Platform’s Instrument application enables monitoring and management of all connected instruments to maximize utilization and eliminate paper records.<br>This can significantly improve productivity by minimizing downtime, reducing delays, and improving lab efficiency.</p><h4><strong>Effective instrument management to drive laboratory productivity</strong></h4><h5><strong>Monitor</strong></h5><p>Easily view all connected systems from a central location with instrument cards providing real‑time status and data acquisition information for a holistic laboratory view to enable fast, informed decisions.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_5_f985768d28.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_5_f985768d28.jpg 245w," sizes="100vw" width="1692" height="809"></p><h5><strong>Record</strong></h5><p>Digitize, standardize, and centralize instrument logbooks with automated event logging, plus manual entry tools to record maintenance activities, custom notes, and images. Automatic tracking of instrument module movements between systems assists laboratories in maintaining accurate and complete records, helping to ensure instruments are controlled and working properly, instilling confidence in result reliability. Instrument support is accelerated via in‑app service ticket and support package generation for immediate delivery to Thermo Fisher Scientific technical support.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_6_1a2b159f68.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_6_1a2b159f68.jpg 200w," sizes="100vw" width="873" height="680"></p><h5><strong>Schedule</strong></h5><p>Increase laboratory efficiency by optimizing instrument utilization. The Ardia Platform’s Instruments Scheduler tool provides a single point to plan work, view system availability, reserve time, and set maintenance windows on all connected instruments to minimize downtime.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_7_01ca77bc6d.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_7_01ca77bc6d.jpg 245w," sizes="100vw" width="1483" height="548"></p><h5><strong>Utilize</strong></h5><p>The Ardia Platform’s Data Insights application provides out‑of‑the‑box dashboards for key laboratory insights on resource availability, instrument status, and instrument performance in a centralized location. Track and monitor system metrics such as injection quantity, time, volume, type or status, and % utilization across systems and geographical locations. With interactive dashboards that can be filtered by system, system type, location, project, or time, you can easily focus on the metrics that matter most.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_Ardia_Platform_8_3a6b276497.jpg" alt="Thermo Scientific Ardia Platform." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_Ardia_Platform_8_3a6b276497.jpg 245w," sizes="100vw" width="1920" height="937"></p>

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