Article

Automated Segmentation of Kidney Nephron Structures by Deep Learning Models on Label-free Autofluorescence Microscopy for Spatial Multi-omics Data Acquisition and Mining

2021-07-18

Abstract excerpt

<h4>ABSTRACT</h4> Automated spatial segmentation models can enrich spatio-molecular omics analyses by providing a link to relevant biological structures. We developed segmentation models that use label-free autofluorescence (AF) microscopy to recognize multicellular functional tissue units (FTUs) (glomerulus, proximal tubule, descending thin limb, ascending thick limb, distal tubule, and collecting duct) and gros...

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Literature Corpus work: 3f236cb8-0cf0-5852-ab9d-33b1ca804644
DOI: 10.1101/2021.07.16.452703

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