YANG Fengjuan, CHEN Hua, CAI Yi, LIANG Riliu, HE Shuangyan. A 3D-PSF Space Size Selection Method Based on Inflection Point[J]. Chinese Journal of Electronics, 2017, 26(1): 160-165. doi: 10.1049/cje.2016.11.012
Citation: YANG Fengjuan, CHEN Hua, CAI Yi, LIANG Riliu, HE Shuangyan. A 3D-PSF Space Size Selection Method Based on Inflection Point[J]. Chinese Journal of Electronics, 2017, 26(1): 160-165. doi: 10.1049/cje.2016.11.012

A 3D-PSF Space Size Selection Method Based on Inflection Point

doi: 10.1049/cje.2016.11.012
Funds:  This work is supported by the National Natural Science Foundation of China (No.61164019) and the Guangxi Natural Science Foundation (No.2012GXNSFAA053216).
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  • Corresponding author: CHEN Hua (corresponding author) was born in 1958. He received the Ph.D. degree in optical engineering from Beijing Institute of Technology. He is now a master's supervisor in Guangxi University. His research interests include biological image processing and photoelectric imaging technology. (Email:chenhua_cn@163.com)
  • Received Date: 2014-12-26
  • Rev Recd Date: 2015-08-12
  • Publish Date: 2017-01-10
  • In the three-dimensional microscopic biological image restoration processing of digital confocal microscopy, the selection of three-Dimensional Point spread function (3D-PSF) space size determines the restoration effect and restoration time. Based on 3D-PSF double funnel-shaped structure and analyzing the relationship of 3D-PSF space size to the image restoration effect and restoration time, it proposed the comprehensive image restoration evaluation criteria based on restoration efficiency, and also proposed the 3D-PSF selection method based on restoration efficiency curve inflection point. Three groups of 3D-PSF with different layer distances were used for image restoration experiments, the relationship between the 3D-PSF space sizes of different diameter and the image restoration effect and restoration time was built, and the restoration efficiency curve was obtained. Based on the curve inflection point, the selection of optional minimum space 3D-PSF and 3D-PSF was determined. Experimental results showed the method has good feasibility.
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