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REM-I is a fully integrated cell analysis and enrichment platform

Key Features

  • High-resolution imaging of single cells

    The REM-I instrument takes high-speed, high-resolution brightfield images of single cells to capture information about morphology.

  • 6-way, label-free sorting

    A label-free workflow and gentle microfluidics means the cells you sort are minimally perturbed and viable for downstream analysis.

  • Powered by Deepcell’s Human Foundation Model

    The Human Foundation Model assesses many dimensions of cell morphology for a high-dimensional characterization of each cell.

  • Real-time analysis of single cell morphology

    Store, visualize, and analyze single cell image and high-dimensional cell morphology data with the Axon data suite.

A single, streamlined workflow

Step 1

Prepare cells into single cell suspension

Step 2

Image single cells in flow

Step 3

Characterize cells in real-time with the HFM

Step 4

Analyze data and optionally collect cell populations of interest for further analysis

AXON™ Data Suite
Actionable Intelligence. In Minutes.

AXON™ is Deepcell’s integrated cloud & on-prem solution to explore, analyze and visualize data, and store, review, and organize runs.

AXON™ provides seamless annotation of cells and morphotypes and enables 2-way communication with Deepcell REM-I instrument to capture images and sort.

Analyze your data without any bioinformatics support within minutes. 

Learn more about AXON

What researchers say about REM-I

  • “The biggest advantage is that we don’t have to do staining – we simply push our cells/samples through REM-I and by the end of the day you have the high-dimensional morphology data of 100,000 or more cells.”

    Dr. Peter van der Spek - Professor of Clinical Bioinformatics, Pathology

  • “We’ve seen first hand how the REM-I platform can validate and speed up the discovery and diagnosis of disease.”

    Dr. Andy Tsai - Postdoctoral Scholar, Neurology, Stanford University

  • " This is an exceptional imaging technology for identifying rare cells with VERY high reproducibility. This removes variability and enables consistency in Batch Processing."

    Dr. Deepti Singh, CSO at Ingel Therapeutics

  • “Morpholomics represents the natural next step to learn more about diseases, their biology, and identify novel targets for disease treatment in an unbiased fashion.”

    Dr. Jennifer Yokoyama - Associate Professor, Neurology, USCF Weill Institute for Neurosciences

Add Morpholomics to your toolbox

Ready to explore the power of morphology magnified by AI?

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