Deepcell
Deepcell offers advanced single cell imaging technology through its REM-I platform, combining label-free imaging, deep learning, and gentle sorting. The company collaborates with NVIDIA and has raised $73 million in Series B funding to further develop its technology.
Services
Deepcell provides an advanced platform named REM-I, which combines label-free imaging, deep learning, and gentle sorting. This platform leverages single cell morphology as a high-dimensional quantitative readout. In addition to REM-I, Deepcell offers the GenAI technology for research, allowing the exploration of morphological responses of single cells to various biological or environmental changes using generative AI. Furthermore, the company offers the Axon data suite for real-time analysis and visualization of single cell morphology data, providing researchers with deep insights into cellular characteristics.
Collaborations
Deepcell has partnered with NVIDIA to accelerate the integration of generative artificial intelligence in single cell research. This collaboration aims to enhance the capabilities of Deepcell’s technologies, particularly in the assessment and interpretation of single cell morphology, leveraging NVIDIA's expertise in AI to improve computational processes and data analysis.
Funding and Investments
Deepcell has successfully raised $73 million in a Series B funding round. This substantial investment is earmarked for the further development and commercialization of its single cell imaging technology. The funding will facilitate advancements in their existing platforms and foster innovation in new technologies, solidifying Deepcell’s position in the biotechnology sector.
Headquarters
Deepcell is headquartered at 4025 Bohannon Dr, Menlo Park, CA 94025. This strategic location places the company in the heart of the technological hub of Silicon Valley, allowing access to a vast network of partners, investors, and industry experts to drive its innovative initiatives in cell morphology analysis and AI-based research tools.
Technologies
Deepcell employs advanced microfluidics and label-free single cell imaging combined with cutting-edge artificial intelligence and powerful data analytics for in-depth characterization of cells. Among its key technological developments is the Human Foundation Model (HFM), a generative morphology model capable of interpreting more than 100 dimensions of cell morphology. These technologies enable researchers to gain a comprehensive understanding of cellular behaviors and properties without the need for traditional labeling techniques.