Our Technology

Our technology identifies and isolates viable cells based on morphological distinctions for use in translational research, diagnostic testing, and therapeutics.

The technology allows for the delivery of intact and viable single cells at high precision with no bias. Unlike other approaches, our platform maintains cell viability for downstream characterization. It can be used to isolate any type of cell, even those occurring at frequencies as low as one in a billion.

 

 

Unbiased

Cell classification is not limited by labels or markers.

Our continuously learning AI can differentiate cells without inherent bias, allowing for more robust science.

Hypothesis-free

Analyze a population of cells without defining a specific target ahead of time.

By basing classification on morphological differences that may be invisible to the human eye, Deepcell allows for serendipitous discovery.

Harmless

Sorted cells remain intact and viable.

Our unique microfluidics platform sorts cells gently, ensuring viability for downstream analysis.

How it works

Microfluidics

Our proprietary microfluidic technology is the basis for high quality images provided to our Cell Morphology Atlas. It further allows for accurate pipeline sorting.

How it works

High-res Single Cell Imaging

High resolution imaging of single cells in isolation reflects cytoplasmic, nuclear and subnuclear features.

How it works

Real-time AI Classification

Our technology allows for both supervised and unsupervised classification of cells via deep neural nets built on and for the vast number of rich images captured in the system.

How it works

Single-cell Sorting

Our sorting technology is closely integrated with the microfluidics and AI to enable real time inference and sorting of cells with high purity and high yield.

Why AI?

After decades of expert cellular analysis, our understanding of cell-to-cell differences is limited. Deepcell uses its Deep Cell Morphology Atlas of billions of cell images to train AI models that provide novel understandings of cellular samples.

Using morphological distinctions that may be invisible to the human eye, our AI technology can classify and sort cells with unprecedented accuracy without the need for previously identified biomarkers, labels, or damaging stains. 

Interested?

We’d love to explore how Deepcell’s technology can support your cell biology or precision medicine research.