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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

What 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.

Cross-technique

LC and GC in one project

Volatiles and non-volatiles processed and networked together rather than in separate tools.

Cross-modality

Imaging plus LC-MS

On-tissue MS2 annotations backed by the LC-MS run from the same sample.

Cross-detector

MS with orthogonal detectors

UV and ELSD traces correlated with the MS signal across every file.

Cross-pipeline

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.