What we do
Deepcell offers an AI-powered imaging and microfluidics platform that identifies and isolates viable cells based on morphological distinctions for use in translational research, diagnostic testing, and therapeutics.
Redefining biology, one cell at a time.
Spun out of Stanford University in 2017, the company has created unique, microfluidics-based technology that uses continuously learning AI to classify cells based on detailed visual features and sort them without inherent bias.
We see cells differently.
Viewed at high resolution, different cell types often have unique features that can be interpreted with AI, even in cases where scientific understanding of those features is not yet advanced enough for biological use.
Our interdisciplinary leadership team is committed to inclusivity, open collaboration, and persistent innovation.
Euan Ashley, MD PhD
Timothy McDaniel, PhD
Christina Curtis, PhD
Catherine Blish, MD PhD
Peter Van Der Spek, PhD
We partner with industry leaders to deliver genuine,
meaningful products to the world.