Trained on the world’s largest quantitative mass spec dataset and built upon our Large Spectral Model (LSM), PyxisTM deep-learns how to map raw mass spec data to absolute concentrations. Harnessing a set of universal calibrants called StandardCandlesTM, Pyxis produces untargeted absolute quantitative results in minutes, without expertise or manual data processing.
Standardized consumables
for sample preparation and LC-MS methods
Acquire data
on your own instrument
Cloud-enabled software
for automated raw data processing
Untargeted: ability to broadly identify and quantify as many features as possible from raw untargeted data
Quantitative: absolute quantitation makes it possible to compare data across samples, experiments, studies, and even across laboratories
Fast: results allow for decision as soon as data acquisition is complete
Automated: no need for PhD-level expertise to manually curate features and analyze data
Scalable: a small set of universal methods and standards replaces laborious method development and calibrations that yield limited analytical coverage
Reproducible: a single sample preparation kit and software pipeline to ensure uniformity and standardization
Web Application
Fast & Automated Data Processing: Our cloudbased application streamlines data workflows with rapid, automated processing
Secure Infrastructure: Secure data storage and transfer
Scalable Sample Handling: Analyze up to 384 samples in under 15 minutes
Coverage & Applications
Coverage |
Amino Acids, Glycolysis, Sugars, TCA, Urea Cycle, Vitamins, Glycosylation Precursors, One-Carbon Metabolism, Purines, Energy Carriers, Fatty Acid Metabolism, Pyrimidines, Redox, Choline Metabolism |
Applications & Use Cases |
Synthetic Biology, Drug Discovery, Metabolomics, Target Screening, Hypothesis Testing, Media Analysis, Microbiome Analysis |
Product Details
Dynamic Range |
Analyte dependent: From LOQ to 50µM |
LC Method |
6 min HILIC method
|
Supported Matrices* |
Cell lysates, culture media, plasma, saliva |
Processing Time |
<5 min (96-well plate)
|
* Potentially generalizable to other matrices. Contact us if your matrix of interest is not listed.
Consumables and Methods for Rapid Deployment
Easy setup and onboarding
Consumables, standardized sample preparation, and LC-MS methods ensure uniformity
StandardCandles: Universal calibrators replace isotopically labeled individual standards, thereby broadening analytical coverage
Unlocking Scalable Quantitative Metabolomics with AI
Jennifer M. Campbell, PhD, Chief Scientific Officer, discusses how Matterworks is unlocking scalable quantitative metabolomics with AI. This talk was originally given at a breakfast workshop hosted by Thermo Fisher Scientific at ASMS 2023.
Absolute Quantitation of Metabolites Using Machine Learning and StandardCandles as Universal Calibrators - the second-generation model
Jennifer Campbell, PhD, Chief Scientific Officer, gives a brief overview of how Matterworks is using machine learning and universal calibrators to enable whole metabolome reading.
Absolute Quantification of Key Cellular Metabolites in Bioprocessing Samples Using Machine Learning
Luke Ferro, PhD, gives a short poster overview of a collaboration between Matterworks and Eli Lilly for the quantification of metabolites from bioreactors