26 June 2017 Peripheral blood mononuclear cells analysis in microfluidic flow by coherent imaging tools
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Abstract
Cell of human blood stream are divided into two groups: Red Blood Cells (RBC) and White Blood Cells (WBC). RBC have a peculiar biconcave disk shape and they are responsible for the delivering of O2 and CO2 through the body. WBC are a more widespread class of cell ensuring immunity against pathogens. They can be divided in two main classes: granulocyte cells and A-granulocyte cells. Neutrophils, basophils and eosinophils belong to the granulocyte cell class, while lymphocytes and monocytes belong to A-granulocyte. Both in RBC and WBC, the intrinsic physical properties of a cell are indicators of cell condition and, furthermore, of the overall human body state. Thus, the accurate comprehension of the physiological structure of WBCs is fundamental to recognize diseases. Here we show the possibility to simple and straightforwardly characterize the physical properties of individual RBC and mononuclear WBC in a microfluidic context, using a wide angle light scattering apparatus and a corresponding theoretical simulation of Optical Signature (OS). A non-Newtonian polymer alignment solution for cell is used to ensure an individual cell alignment in the microfluidic flow, thus permitting a precise investigation. Additionally, Quantitative Phase Imaging (QPI) holographic measurements are performed to estimate cell morphometric features, such as their refractive index. We analyzed more than 200 WBCs and 100 RBCs of three different probands. Results showed distinct cell populations according to their measured dimensions and shape, which can be associated to the presence of RBC, lymphocytes and monocytes.
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David Dannhauser, David Dannhauser, Domenico Rossi, Domenico Rossi, Pasquale Memmolo, Pasquale Memmolo, Filippo Causa, Filippo Causa, Andrea Finizio, Andrea Finizio, Pietro Ferraro, Pietro Ferraro, Paolo A. Netti, Paolo A. Netti, } "Peripheral blood mononuclear cells analysis in microfluidic flow by coherent imaging tools", Proc. SPIE 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III, 1033308 (26 June 2017); doi: 10.1117/12.2270363; https://doi.org/10.1117/12.2270363
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