Acta Optica Sinica, Volume. 39, Issue 9, 0917002(2019)
Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching
Fig. 1. Optical path layout of simultaneous phase-shifting interferometric microscopy experiment
Fig. 2. Processing results of simulated microvascular interferogram. (a) One group of four phase-shifting interferogram; (b) unwrapping phase
Fig. 3. Results of simulated microvascular fitting residual extraction. (a) Fitting wavefront; (b) wavefront residual
Fig. 4. Phase of bovine red blood cell. (a) Three-dimensional height distribution; (b) cross-sectional height curve
Fig. 5. Three-dimensional height distribution of red blood cells in partially simulated microvessels. (a) Red blood cell I; (b) red blood cell II; (c) red blood cell III; (d) red blood cell IV
Fig. 6. Characteristic volume model of red blood cell. (a) Three-dimensional height distribution of red blood cell; (b) two-dimensional height distribution of red blood cell
Fig. 7. Adjacent two frames of original pictures in the process of detecting red blood cell flow rate in microvessels. (a) First-frame photo; (b) second-frame photo
Fig. 8. Phase of characteristic red blood cells extracted from the wavefront residuals of simulated microvessels. (a) First-frame processing result; (b) second-frame processing result
Fig. 9. Phase change of red blood cells extracted from the wavefront residuals of adjacent 8 pictures
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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
Category: Medical Optics and Biotechnology
Received: Mar. 5, 2019
Accepted: May. 21, 2019
Published Online: Sep. 9, 2019
The Author Email: Yuan Qun (yuanqun@njust.edu.cn)