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AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling
Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
This article is based on a poster originally authored by Yongyang Huang, Ning Guo, Mackenzie Pierce, Leo Chan, Bo Lin and Yi Yang, which was presented at ELRIG Drug Discovery 2024 in affiliation with ...
Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to identifying genetic perturbation patterns in cell images – potentially enabling ...
Using artificial intelligence, engineers at the University of California San Diego have developed a new way to watch the ...
New fluorescent dyes allow scientists to watch cancer activity inside living cells in real time, opening new possibilities ...
To isolate specific cell populations, researchers frequently employ fluorescence-activated cell sorting (FACS). While this flow cytometry-based technique analyzes the cells’ fluorescence, it cannot ...
To understand the University of Florida’s nanoparticle imaging research and its potential to boost cancer immunity, think of bloodhounds sniffing out troubled targets. White blood cells (T cells) are ...
Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...
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