Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...
Global 3D Cell Culture Market OverviewThe global 3D cell culture market is poised for significant expansion, with projections ...
Hosted on MSN
AI is transforming how scientists visualize data
From decoding cell images to generating conference-ready posters, AI is revolutionizing how researchers analyze and present biological data. Tools now automate cell segmentation, protein mapping, and ...
Cell image segmentation and analysis lie at the forefront of quantitative biology, providing essential tools for deciphering complex cellular structures and dynamics. This field encompasses advanced ...
Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...
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 ...
19don 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 ...
Until recently, the analysis of cell images was conducted manually often requiring hours of effort. Jasmine Trigg, a scientist at Sartorius, remembers this well. “Getting the insights I needed was ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results