Applications
One platform, many domains.
Metabolomics, lipidomics, imaging, PFAS and polymers, drug discovery, impurity analysis. The same processing engine underneath, with workflows built for what each field actually measures.
Vendor-agnostic · On your hardware · No per-sample charge
Choose a domain
Start with the workflow closest to yours.
Each page walks the same route: where the field stops scaling, the workflow that fixes it, and the labs already running it.

Metabolomics
Untargeted profiling at cohort scale, with molecular networking and library matching that survives thousands of samples.
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Lipidomics
Rule-based lipid annotation following LSI guidelines, including retention time analysis and a dedicated dashboard for QC.
Explore
MS Imaging
On-tissue MS2 with SIMSEF, ion image co-registration and MALDI-TIMS workflows for spatial molecular maps.
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PFAS & Polymers
Homologous-series detection, Kendrick mass defect analysis and suspect screening in one workflow.
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Drug Discovery
Natural-product dereplication, library generation and interactive molecular networking across hundreds of extracts a week.
Explore
Impurity Analysis
Extractables & leachables at scale, with UV and MS traces correlated and aligned across hundreds of files and multiple acquisition modes.
ExploreWhat every domain shares
Different molecules. The same three challenges.
Whatever you measure, the bottleneck is rarely the instrument. It is the gap between a finished acquisition and an answer you would defend in review.
Scale
Cohorts of thousands, not pilots of thirty. Alignment has to hold across all of them.
Annotation
A feature table is not a result. Identity is the part that takes the time.
Sovereignty
It runs on your hardware. Nothing is uploaded, so nothing has to be cleared.
Multimodal
Most labs are not a single domain.
The teams that get the most out of mzmine are the ones running LC-MS, GC-MS and imaging side by side. One toolchain across all of it means one set of processing decisions to defend, not three, and results that can actually be compared.
LC and GC in one project
Volatiles and non-volatiles processed and networked together rather than in separate tools.
Imaging plus LC-MS
On-tissue MS2 annotations backed by the LC-MS run from the same sample.
MS with orthogonal detectors
UV and ELSD traces correlated with the MS signal across every file.
One export path
Open, documented formats, so whatever you already run downstream keeps running.
Get started
Not sure which page describes your lab?
Tell us what comes off your instruments and what you are trying to measure. We will point you at the right workflow, or tell you if mzmine is the wrong tool.