BiologyCommunications 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.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Physics
Realizing a deep reinforcement learning agent for real-time quantum feedback
K. Reuer, J. Landgraf, et al.
Medicine and Health
RapidET: a MEMS-based platform for label-free and rapid demarcation of tumors from normal breast biopsy tissues
A. V. G. K, G. Gogoi, et al.
Medicine and Health
Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea
Y. Shin, A. Y. Kim, et al.
Biology
Cell morphology-based machine learning models for human cell state classification
Y. Li, C. M. Nowak, et al.

