Overview
Deepcell is a life science company that brings artificial intelligence to cell biology through its REM-I Platform, which combines high-resolution imaging, deep learning, and microfluidics for label-free single cell analysis and sorting. The platform leverages Deepcell's Human Foundation Model to identify and sort cells based on morphological distinctions, enabling high-dimensional biological discovery in a field known as morpholomics. Applications include basic research, translational research, diagnostic testing, and therapeutics targeting across areas such as cancer research and Alzheimer's disease research.
Frequently asked questions
- What is the REM-I Platform and what does it do?
- The REM-I Platform is Deepcell's benchtop instrument that combines label-free imaging, deep learning, and gentle enrichment to analyze and sort single cells based on morphology. It integrates the Human Foundation Model AI, a benchtop instrument, and the Axon data suite to enable high-dimensional cell morphology analysis without requiring fluorescent labels.
- How does Deepcell's Human Foundation Model work?
- The Human Foundation Model is a self-supervised AI trained on billions of single-cell images without labels or predefined features. It uses two encoders—a Deep Learning Encoder (extracting 64 dimensions via Convolutional Neural Networks) and a Computer Vision Encoder (extracting 51 morphometric dimensions)—to generate a 115-dimensional embedding from each brightfield cell image in real time, capturing both human-interpretable morphological features and deeper patterns.
- What are the key advantages of Deepcell's approach compared to traditional flow cytometry?
- Unlike traditional imaging flow cytometers, Deepcell offers real-time, label-free cell sorting powered by deep learning foundation models. This eliminates the need for fluorescent labels, reduces sample preparation complexity, and enables discovery of morphological distinctions that may not be visible through conventional methods, making it suitable for rare cell capture and novel cell phenotype identification.
- What research applications does Deepcell support?
- Deepcell supports basic research, translational research, metastatic cancer research, and Alzheimer's disease research. The platform can discriminate between cell types such as activated and naive T cells and enables tissue profiling, cell enrichment, and rare cell capture from liquid or tissue biopsies.
- Does Deepcell offer service-based analysis options?
- Yes, Deepcell offers the Spark Program, a technology access capability where customers can send samples to Deepcell for analysis rather than purchasing the benchtop instrument.