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Super-resolution microscopy based on parallel detection 认领 引用
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作者 Zhimin Zhang Shaocong Liu +6 位作者 Liang Xu Yubing Han Cuifang Kuang Yong Liu Xiang Hao Hongqin Yang Xu Liu 《Journal of Innovative Optical Health Sciences》 SCIE EI 2019年第6期210-216,共7页
Image scanning microscopy based on pixel reassignment can improve the confocal resolution limit without losing the image signal-to-noise ratio(SNR)greatly[C.J.R.Sheppard,"Super resolution in confocal imaging,&quo... Image scanning microscopy based on pixel reassignment can improve the confocal resolution limit without losing the image signal-to-noise ratio(SNR)greatly[C.J.R.Sheppard,"Super resolution in confocal imaging,"Optik 80(2)53-54(1988).C.B.Miller,E.Jorg,"Image scanning microscopy,"Phys.Reu.Lett.104(19)198101(2010).C.J.R.Sheppard,s.B.Mehta,R Heintzmann,"Superresolution by image scanning microscopy using pixel reassignment,"Opt.Lett.38(15)28892892(2013)].Here,we use a tailor-made optical fiber and 19 avalanche pho-todiodes(APDs)as parallel detectors to upgrade our existing confocal microscopy,termed as parallel-detection super resolution(PDSR)microscopy.In order to obtain the correct shift value,we use the normalized 2D cross correlation to calculate the shifting value of each image.We characterized our system performance by imaging fuorescence beads and applied this system to observing the 3D structure of biological specimen. 展开更多
关键词 Pixel reassignment SIM parallel-detection super-resolution(PDSR)microscopy normalized Cros correlation algorithm
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