A new technique brings CRISPR-mediated gene editing together with spatial transcriptomics and imaging to study the ...
Abstract: Semantic cell segmentation from microscopic images is essential for the quantitative evaluation of cell morphology. Although supervised deep-learning-based models offer accurate segmentation ...
Department of Breast and Thyroid Surgery, Changde Hospital, Xiangya School of Medicine, Central South University (the first People’s Hospital of Changde City), Changde, Hunan, China Background: The ...
Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...
Collaboration pairs robust synthetic biology platform with massive scale single cell sequencing to overcome long-standing challenges in variant mapping Parse Biosciences, the leading provider of ...
Study: Multimodal AI generates virtual population for tumor microenvironment modeling A recent study published in the journal Cell explored the capabilities of GigaTIME, a multimodal AI framework ...
Integrating NGS with single-cell and spatial platforms has redefined modern multiomic research. Next-generation sequencing (NGS) has become the backbone of modern biological research, but its highest ...
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Background: Lung tissue exhibits intricate spatial organization and dynamic cellular interactions. However, the molecular mechanisms underlying pulmonary arterial hypertension (PAH) remain poorly ...
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