Integrating deep learning with microfluidics for biophysical classification of sickle red blood cell...
Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Sickle cell disease, a genetic disorder affecting a sizeable global demographic, manifests in sickle red blood cells (sRBCs) with altered shape and biomechanics. sRBCs show heightened adhesive interactions with inflamed endothelium, triggering painful vascular occlusion events. Numerous studies employ microfluidic-assay-based monitoring tools to qu...
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Full title
Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
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TN_cdi_plos_journals_2610945758
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2610945758
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1008946
