Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...
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 ...
Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria ...
Cell segmentation is a crucial step in numerous biomedical imaging endeavors—so much so that the community is flooded with publicly available, state-of-the-art segmentation techniques ready for out-of ...
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, ...
PLEASANTON, Calif., Feb. 23, 2025 /PRNewswire/ -- At the Advances in Genome Biology and Technology (AGBT) General Meeting, 10x Genomics, Inc. (Nasdaq: TXG), a leader in single cell and spatial biology ...
Researchers from UC San Francisco and Cedars-Sinai have developed a new way to prompt stem cells to form specific organs. It sets the stage for growing human organs from scratch – a long-time goal of ...
Abstract: In our study, we present a novel method for automating the segmentation and classification of bone marrow images to distinguish between normal and Acute Lymphoblastic Leukaemia (ALL). Built ...
Researchers at Children’s Hospital of Philadelphia (CHOP) announced the creation of a new AI technology called CelloType, a comprehensive model designed to more accurately identify and classify cells ...
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