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Our approach: High-resolution single-cell imaging, cutting-edge Al, and label-free sorting for high-dimensional morphology analysis. All in one platform.
- High-resolution images of single cells captured at high speed
- Completely label-free workflow
- 6-way sorting of uncompromised cells of interest for downstream analysis
- Al characterization of captured cell images in real-time
- Flexible experimental designs for imaging or imaging + sorting
Turning cell morphology into a quantitative, high-dimensional "-OME" unlocks deeper biological insights
Dr. Peter van der SpekProfessor of Clinical Bioinformatics, Pathology
“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
Dr. Andrew FilbyProfessor, Flow Cytometry Core Director, Newcastle University
“There are different methods for characterizing cells at the single cell level, for example flow cytometry or imaging cells in flow, but they perturb the cells and don’t have the ability to sort for downstream analysis like REM-I does.”Dr. Andrew Filby - Professor, Flow Cytometry Core Director, Newcastle University
Dr. Andy TsaiPostdoctoral Scholar, Neurology, Stanford University
“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
Dr. Jennifer YokoyamaAssociate Professor, Neurology, USCF Weill Institute for Neurosciences
“Mopholomics 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
REM-I Biotech Breakthrough Award Winners “Cell Imaging Product of the Year”
Learn why we’re the #1-rated breakthrough innovation for imaging in the field of cell biology.