Biology

COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning

M. Salek, N. Li, et al.

Discover COSMOS, the groundbreaking platform developed by an expert team from Deepcell Inc and Stanford University, revolutionizing the way we characterize and sort single cells through real-time deep learning analysis of high-resolution images. This innovative technology enables the efficient purification of viable cells using morphology analysis without the need for labels or stains.

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Abstract

COSMOS, a platform integrating AI and microfluidics, characterizes and sorts single cells based on real-time deep learning analysis of high-resolution brightfield images. Supervised deep learning models analyze morphology to sort cell lines and primary tissue without labels or stains. The platform's ability to capture deep visual characteristics enables efficient purification of viable cells with desired morphological traits, resolving limitations of existing real-time cell sorting technologies.

Publisher

Communications Biology

Published On

Sep 22, 2023

Authors

Mahyar Salek, Nianzhen Li, Hou-Pu Chou, Kiran Saini, Andreja Jovic, Kevin B. Jacobs, Chassidy Johnson, Vivian Lu, Esther J. Lee, Christina Chang, Phuc Nguyen, Jeanette Mei, Krishna P. Pant, Amy Y. Wong-Thai, Quillan F. Smith, Stephanie Huang, Ryan Chow, Janifer Cruz, Jeff Walker, Bryan Chan, Thomas J. Musci, Euan A. Ashley, Maddison (Mahdokht) Masaeli

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