Quantitative assessment of image motion blur in diffraction images of moving biological cells

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dc.contributor.authorWang, He
dc.contributor.authorJin, Changrong
dc.contributor.authorFeng, Yuanming
dc.contributor.authorQi, Dandan
dc.contributor.authorSa, Yu
dc.contributor.authorHu, Xin-Hua
dc.date.accessioned2020-04-03T20:38:19Z
dc.date.available2020-04-03T20:38:19Z
dc.date.issued2016-02
dc.description.abstractMotion 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.en_US
dc.identifier.doihttps://doi.org/10.1117/1.OE.55.2.023103
dc.identifier.urihttp://hdl.handle.net/10342/7975
dc.titleQuantitative assessment of image motion blur in diffraction images of moving biological cellsen_US
dc.typeArticleen_US
ecu.journal.issue2en_US
ecu.journal.nameOptical Engineeringen_US
ecu.journal.volume55en_US

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