Data for assessing red blood cell deformability from microscopy images using deep learning.

ABSTRACT: Red blood cell (RBC) deformability is a vital biophysical property that dictates the ability of these cells to repeatedly squeeze through small capillaries in the microvasculature. This capability is known to differ between individuals and degrades due to natural aging, pathology, and cold storage. There is great interest in measuring RBC deformability because this parameter is a potential biomarker of RBC quality for use in blood transfusions. Measuring this property from microscopy images would greatly reduce the effort required to acquire this information, as well as improve standardization across different centers. This dataset consists of live cell microscopy images of RBC samples from 10 healthy donors. Each RBC sample is sorted into fractions based on deformability using the microfl

SUBMITTER: Lamoureux ES 

PROVIDER: S-EPMC9926190 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature