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

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)
He,Jin,Changrong,Feng,Yuanming,Qi,Dandan,Sa,Yu,Hu, Wang (Creator)
East Carolina University (ECU )
Web Site: http://www.ecu.edu/lib/

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.

Additional Information

Language: English
Date: 2016

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Quantitative assessment of image motion blur in diffraction images of moving biological cellshttp://hdl.handle.net/10342/7975The described resource references, cites, or otherwise points to the related resource.