• Acta Optica Sinica
  • Vol. 39, Issue 9, 0917002 (2019)
Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, and Qun Yuan*
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
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    DOI: 10.3788/AOS201939.0917002 Cite this Article Set citation alerts
    Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, Qun Yuan. Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching[J]. Acta Optica Sinica, 2019, 39(9): 0917002 Copy Citation Text show less

    Abstract

    Simultaneous phase-shifting interferometric microscopy is proposed herein to measure the phase of red blood cells for leveraging the characteristics of slow blood flow and a small number of red blood cells in microvessels. A characteristic volume model of red blood cells is established to match characteristic red blood cells from multi-frame phase maps. Then, slow blood flow detection is realized. A Ф100-μm microvessel prototype with a flow rate of 0.1-1.0 mm/s is prepared using Alsever’s solution of bovine red blood cell. A simultaneous phase-shifting interferometric microscopy experimental setup based on a micro-polarization array is constructed to validate the feasibility of the proposed detection method, and the measurement error of the blood flow velocity is no greater than ±11.2%.
    Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, Qun Yuan. Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching[J]. Acta Optica Sinica, 2019, 39(9): 0917002
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