Deepcell, an industry trailblazer in the realm of AI-empowered single cell analysis, announced the launch of its revolutionary REM-I Platform today. This comprehensive platform is aimed at fostering groundbreaking biological research through enhanced cell morphology analysis and sorting. It comprises the REM-I benchtop instrument, the Human Foundation Model, and the Axon data suite. By integrating single cell imaging, sorting, and high-dimensional analysis, the REM-I Platform promises to spur innovation in various areas such as cancer biology, stem cell biology, developmental biology, gene therapy, and functional screening. During CYTO 2023 in Montreal, Quebec, from May 20-24, 2023, Deepcell’s leaders will present data on the company’s AI-driven morphology profiling solutions which employ their proprietary deep learning and computer vision model.
Maddison Masaeli, PhD, co-founder and CEO at Deepcell, emphasized the transformative potential of AI in cellular analysis: “Deepcell’s integration of artificial intelligence in cellular analysis heralds a new era of biological research. Our aim is to equip our customers with cutting-edge AI tools for morphology, the cornerstone of cell biology, expediting their biological research.”
Cell morphology has been a fundamental mode of cell study since the invention of the microscope. Despite recent advancements in microscopy and flow cytometry, current tools for cellular quantification and characterization still hinge heavily on hypothesis-driven approaches and human interpretation. However, with the advent of a new generation of AI and machine learning models, such as Deepcell’s Human Foundation Model, cell morphology can finally join the league of other high-dimensional, single cell analysis techniques, enabling researchers to unlock the full potential of the morpholome.
Euan Ashley, MD, PhD, the scientific co-founder of Deepcell, an associate dean in the Stanford University School of Medicine, and a professor at Stanford University, expressed his enthusiasm regarding the launch of the REM-I Platform. “This platform is the manifestation of years of first-principle thinking about the future of cell biology, a future unshackled from the restraints of prior knowledge,” said Ashley. “With the aid of advanced artificial intelligence models, we can now surpass the boundaries of human vision, delving deeper into the biology of individual cells. The scientific community is eagerly anticipating the breakthroughs this powerful new tool will facilitate.
