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Optical Engineering • Open Access

Quantitative assessment of image motion blur in diffraction images of moving biological cells
Author(s): He Wang; Changrong Jin; Yuanming Feng; Dandan Qi; Yu Sa; Xin-Hua Hu

Paper Abstract

Motion blur (MB) presents a significant challenge for obtaining high-contrast image data from biological cells with a polarization diffraction imaging flow cytometry (p-DIFC) method. A new p-DIFC experimental system has been developed to evaluate the MB and its effect on image analysis using a time-delay-integration (TDI) CCD camera. Diffraction images of MCF-7 and K562 cells have been acquired with different speed-mismatch ratios and compared to characterize MB quantitatively. Frequency analysis of the diffraction images shows that the degree of MB can be quantified by bandwidth variations of the diffraction images along the motion direction. The analytical results were confirmed by the p-DIFC image data acquired at different speed-mismatch ratios and used to validate a method of numerical simulation of MB on blur-free diffraction images, which provides a useful tool to examine the blurring effect on diffraction images acquired from the same cell. These results provide insights on the dependence of diffraction image on MB and allow significant improvement on rapid biological cell assay with the p-DIFC method.

Paper Details

Date Published: 5 February 2016
PDF: 6 pages
Opt. Eng. 55(2) 023103 doi: 10.1117/1.OE.55.2.023103
Published in: Optical Engineering Volume 55, Issue 2
Show Author Affiliations
He Wang, Tianjin Univ. (China)
Changrong Jin, Tianjin Univ. (China)
Yuanming Feng, Tianjin Univ. (China)
Dandan Qi, Tianjin Univ. (China)
Yu Sa, Tianjin Univ. (China)
Xin-Hua Hu, East Carolina Univ. (United States)


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