Faster
50-75% reduction in acquisition time without sacrificing resolution.
Accelerating MSI with Intelligent Partial Acquisition
RAPIDMSI reduces Mass Spectrometry Imaging acquisition time by 50-75% using particle-based pixel sampling and machine-learning reconstruction.
About Us
Deep-tech meets Mass Spectrometry Imaging.
We reduce the time and cost of MSI by combining partial sampling with ML reconstruction so you get full-resolution molecular imaging in a fraction of the time.
Rigorous
Scientifically validated output-high-fidelity MSI you can trust.
Scalable
Research, pharma, and clinical labs can scale MSI workflows.
Our mission: make MSI faster, more accessible, and scientifically rigorous.
How It Works
From partial acquisition to full-fidelity imaging.
We start with the full tissue grid as the potential scan area, then acquire only a fraction of pixels through intelligent partial sampling. Our Rapid1.0 ML model reconstructs the full spatial-spectral data from this partial scan, delivering high-fidelity MSI output at 100% resolution in a fraction of the time. The four steps below illustrate this pipeline.
Step 1
Tissue Grid
100% Potential Area
Full spatial area available for scanning-every pixel is a potential acquisition point.
Step 2
Partial Scan
~50% Acquired
Intelligent sampling acquires approximately half the pixels, capturing the most informative regions.
Step 3
ML Model
Reconstruction
Rapid1.0 machine learning model reconstructs full spatial-spectral data from the partial scan.
Step 4
High-Fidelity MSI
100% Resolution
Full-resolution ion image output with validated scientific accuracy-as if every pixel was acquired.