Life science company Deepcell has introduced a new artificial intelligence (AI)-driven high-dimensional cell morphology analysis and sorting system, REM-I Platform.
The new platform includes the REM-I benchtop instrument, human foundation model and Axon data suite.
It combines single-cell imaging, sorting and high-dimensional analysis to enable insights into cell biology.
It will enable discoveries in the areas of cancer biology, stem cell biology, developmental biology, functional screening and gene therapy.
Deepcell cofounder and CEO Dr Maddison Masaeli said: “Deepcell’s approach to bringing artificial intelligence into the cellular analysis will revolutionize biological research, ushering in a new era of discovery.
“We empower our customers to rapidly transform biological research by applying the latest advances in AI to morphology, which is the bedrock of cell biology.”
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Deepcell technology has successfully captured and characterised more than two billion images of individual cells from a diverse range of cell types.
The company’s human foundation model is a self-supervised deep learning model that has been trained on unlabelled cellular images from diverse biological samples.
It helps characterise brightfield single-cell images obtained from the REM-I instrument and produce high-dimensional embedding data.
The Axon data suite enables researchers to access, visualise and analyse data in real time. It enables them to efficiently sort cell groups into a maximum of six outlets on the REM-I instrument.
Deepcell co-founder, president and chief technology officer Dr Mahyar Salek said: “Until now, the field of morphology has been limited to human interpretation of cellular features.
“Advancing morphology-powered discovery requires a new way of thinking to scale up and democratise single-cell data generation and to enable unprecedented insights.
“Advances in machine learning will transform our understanding of cell phenotype akin to the way next-generation sequencing.”