2don MSN
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 ...
Using artificial intelligence, engineers at the University of California San Diego have developed a new way to watch the ...
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 ...
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 ...
Nikon just announced the winners of the 2024 Nikon Small World Photomicrography Competition, where scientific microscope images become art. This year’s top prize went to Bruno Cisterna, who (assisted ...
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 ...
New research combines two powerful imaging techniques to study the complete structure of a common aGPCR, including how its long and complex extracellular region interacts with the transmembrane region ...
Fluorescence-based imaging methods have recorded many details of cell dynamics and behavior, but the full 3D orientation and position of fluorescently marked ensembles has remained difficult to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results