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Proceedings Paper

Peripheral blood mononuclear cells analysis in microfluidic flow by coherent imaging tools
Author(s): David Dannhauser; Domenico Rossi; Pasquale Memmolo; Filippo Causa; Andrea Finizio; Pietro Ferraro; Paolo A. Netti
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Paper 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.

Paper Details

Date Published: 26 June 2017
PDF: 7 pages
Proc. SPIE 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III, 1033308 (26 June 2017); doi: 10.1117/12.2270363
Show Author Affiliations
David Dannhauser, Istituto Italiano di Tecnologia (Italy)
Domenico Rossi, Istituto Italiano di Tecnologia (Italy)
Pasquale Memmolo, Istituto di Scienze Applicata e Sistemi Intelligenti-CNR (Italy)
Filippo Causa, Univ. degli Studi di Napoli Federico II (Italy)
Andrea Finizio, Istituto di Scienze Applicata e Sistemi Intelligenti-CNR (Italy)
Pietro Ferraro, Istituto di Scienze Applicata e Sistemi Intelligenti-CNR (Italy)
Paolo A. Netti, Istituto Italiano di Tecnologia (Italy)
Univ. degli Studi di Napoli Federico II (Italy)


Published in SPIE Proceedings Vol. 10333:
Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III
Pietro Ferraro; Simonetta Grilli; Monika Ritsch-Marte; Christoph K. Hitzenberger, Editor(s)

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