AIMC Topic: Erythrocyte Deformability

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Assessing red blood cell deformability from microscopy images using deep learning.

Lab on a chip Dec 21, 2021
Red blood cells (RBCs) must be highly deformable to transit through the microvasculature to deliver oxygen to tissues. The loss of RBC deformability resulting from pathology, natural aging, or storage in blood bags can impede the proper function of t...
Erythrocytes Erythrocyte Count Erythrocyte Deformability Humans Deep Learning Microscopy
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Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin.

PLoS computational biology Nov 29, 2021
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 painfu...
Humans Neural Networks, Computer Anemia, Sickle Cell Erythrocytes, Abnormal High-Throughput Screening Assays Erythrocyte Deformability Image Interpretation, Computer-Assisted Hemoglobin, Sickle Biophysical Phenomena Diagnosis, Computer-Assisted Laminin In Vitro Techniques Lab-On-A-Chip Devices Deep Learning Protein Multimerization Computational Biology Microfluidics
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Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.

Scientific reports Jun 30, 2021
Combining microfluidics technology with machine learning represents an innovative approach to conduct massive quantitative cell behavior study and implement smart decision-making systems in support of clinical diagnostics. The spleen plays a key-role...
Male Image Processing, Computer-Assisted Erythrocytes Machine Learning Female Anemia, Hemolytic, Congenital Lab-On-A-Chip Devices Microfluidic Analytical Techniques Erythrocyte Deformability Humans
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Numerical simulation of deformed red blood cell by utilizing neural network approach and finite element analysis.

Computer methods in biomechanics and biomedical engineering Aug 10, 2020
In order to have research on the deformation characteristics and mechanical properties of human red blood cells (RBCs), finite element models of RBC optical tweezers stretching and atomic force microscope (AFM) indentation were established. Non-linea...
Erythrocyte Deformability Finite Element Analysis Numerical Analysis, Computer-Assisted Models, Biological Nonlinear Dynamics Microscopy, Atomic Force Erythrocytes Stress, Mechanical Elasticity Neural Networks, Computer Humans Algorithms Computer Simulation
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Rapid diagnosis of hereditary haemolytic anaemias using automated rheoscopy and supervised machine learning.

British journal of haematology Jul 5, 2020
Erythrocyte Deformability Anemia, Hemolytic, Congenital Anemia, Hemolytic, Congenital Nonspherocytic Hydrops Fetalis Pyruvate Metabolism, Inborn Errors Single-Cell Analysis Pyruvate Kinase Image Processing, Computer-Assisted Humans Erythrocytes, Abnormal Supervised Machine Learning Datasets as Topic Reticulocytes Blood Viscosity Automation
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Intelligent image-based deformation-assisted cell sorting with molecular specificity.

Nature methods May 25, 2020
Although label-free cell sorting is desirable for providing pristine cells for further analysis or use, current approaches lack molecular specificity and speed. Here, we combine real-time fluorescence and deformability cytometry with sorting based on...
Cell Culture Techniques Cell Line Drosophila Erythrocytes Cell Survival Animals Cell Size Flow Cytometry HL-60 Cells Cell Proliferation Humans Neutrophils Neural Networks, Computer Erythrocyte Deformability Myeloid Cells Sound Microfluidics
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Applications of deep learning to the assessment of red blood cell deformability.

Biorheology Jan 1, 2021
BACKGROUND: Measurement of abnormal Red Blood Cell (RBC) deformability is a main indicator of Sickle Cell Anemia (SCA) and requires standardized quantification methods. Ektacytometry is commonly used to estimate the fraction of Sickled Cells (SCs) by...
Anemia, Sickle Cell Erythrocytes Erythrocytes, Abnormal Erythrocyte Deformability Humans Deep Learning
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