Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition

Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed between donors of the two types.PMID:38095813 | PMC:PMC10721708 | DOI:10.1007/s10544-023-00688-6

Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research