Article

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

2020-07-04

Abstract excerpt

Sickle cell disease (SCD), a group of inherited blood disorders with significant morbidity and early mortality, affects a sizeable global demographic largely of African and Indian descent. It is manifested in a mutated form of hemoglobin that distorts the red blood cells into a characteristic sickle shape with altered biophysical properties. Sickle red blood cells (sRBCs) show heightened adhesive interactions with...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7a443829-616b-5c97-b733-de6828294654
DOI: 10.1101/2020.07.01.181545

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrating deep learning with microfluidics for biophysical classification of sickle red blood cellsDOI 10.1101/2020.07.01.181545Read

Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cellsSemantic proximity Read

Decoupling Detection and Classification to Improve Morphological Phenotype Analysis of Sickle Red Blood Cells in Full-Scope MicroscopySemantic proximity Read

Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry ImagingSemantic proximity Read

Morphology-based classification of sickle cell disease and β-thalassemia using a low-cost automated microscope and machine learningSemantic proximity Read

Neuromorphic Imaging Cytometry on Human Blood CellsSemantic proximity Read

Sickle cell disease biochip: a functional red blood cell adhesion assay for monitoring sickle cell disease.Semantic proximity Read

Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood ScreeningSemantic proximity Read

Octopi 2.0: Open and Scalable Microscopy Platform for AI-powered Diagnostic ApplicationsSemantic proximity Read

A Dual-Modal Machine Learning Framework Integrating Red Blood Indices and Smartphone-Captured Microscopic Images for β-Thalassemia ScreeningSemantic proximity Read

Clinical application of microfluidic leukocyte enrichment protocol in mild phenotype sickle cell disease (SCD).Semantic proximity Read

Motion Blur MicroscopySemantic proximity Read

Combining array-assisted SERS microfluidic chips and machine learning algorithms for clinical leukemia phenotyping.Semantic proximity Read