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 ...
Most potential oncology drugs fail during the drug development pipeline, even when there has been promising data for their efficacy during the in vitro stage. This makes it vital to identify in vitro ...
20don 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 macrophages hunt down and destroy pathogens. Traditionally, distinguishing ...
UC Santa Cruz researchers’ tool creates ‘synthetic’ images of cells for enhanced microscopy analysis
An example of a cell image before and after segmentation, a process which allows researchers to distinguish single cells from each other and their background. Manually finding and labeling the ...
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 ...
Under the microscope, scientists identified SAR11 zombie cells by their distinct lack of ribosomes. In an example comparing a live, infected SAR11 cell to an infected zombie cell: blue indicates ...
ChromTR, a cutting-edge framework for chromosome detection in metaphase cell images, represents a significant advancement in the field of cytogenetics. This framework, which integrates semantic ...
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 ...
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