Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin

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 empl...

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Bibliographic Details
Main Authors:	Goreke, U. (Author), Gurkan, U.A (Author), Hill, A. (Author), Hinczewski, M. (Author), Iram, S. (Author), Praljak, N. (Author), Singh, G. (Author)
Format:	Article
Language:	English
Published:	Public Library of Science 2021
Subjects:	Anemia, Sickle Cell Article biology biomechanics Biophysical Phenomena biophysics blood blood sampling chemistry classification Computational Biology computer assisted diagnosis controlled study deep learning Deep Learning deep neural network Diagnosis, Computer-Assisted diagnostic imaging erythrocyte adhesiveness erythrocyte deformability Erythrocyte Deformability erythrocyte disorder Erythrocytes, Abnormal hemoglobin S Hemoglobin, Sickle high throughput screening High-Throughput Screening Assays human human cell Humans image analysis Image Interpretation, Computer-Assisted image segmentation in vitro study In Vitro Techniques lab on a chip Lab-On-A-Chip Devices laminin Laminin metabolism microfluidic analysis microfluidics Microfluidics Neural Networks, Computer pathology patient monitoring physiology protein multimerization Protein Multimerization reproducibility sickle cell anemia standardization
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Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin

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