Computational methods in super-resolution microscopy - Details

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Abstract：

The　broad　applicability　of　super-resolution　microscopy　has　been　widely　demonstrated　in　various　areas　and　disciplines.　The　optimization　and　improvement　of　algorithms　used　in　super-resolution　microscopy　are　of　great　importance　for　achieving　optimal　quality　of　super-resolution　imaging.　In　this　review,　we　comprehensively　discuss　the　computational　methods　in　different　types　of　super-resolution　microscopy,　including　deconvolution　microscopy,　polarization-based　super-resolution　microscopy,　structured　illumination　microscopy,　image　scanning　microscopy,　super-resolution　optical　fluctuation　imaging　microscopy,　single-molecule　localization　microscopy,　Bayesian　super-resolution　microscopy,　stimulated　emission　depletion　microscopy,　and　translation　microscopy.　The　development　of　novel　computational　methods　would　greatly　benefit　super-resolution　microscopy　and　lead　to　better　resolution,　improved　accuracy,　and　faster　image　processing.　©　2017,　Zhejiang　University　and　Springer-Verlag　GmbH　Germany.

Keyword：

Computational methods Deconvolution Image enhancement Optical data processing Optical resolving power Stimulated emission

Community：

[ 1 ] [Zeng, Zhi-ping]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350116, China
[ 2 ] [Xie, Hao]Department of Biomedical Engineering, Peking University, Beijing; 100871, China
[ 3 ] [Chen, Long]MOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing; 100084, China
[ 4 ] [Chen, Long]Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST, Tsinghua University, Beijing; 100084, China
[ 5 ] [Chen, Long]Department of Automation, Tsinghua University, Beijing; 100084, China
[ 6 ] [Zhanghao, Karl]Department of Biomedical Engineering, Peking University, Beijing; 100871, China
[ 7 ] [Zhao, Kun]Department of Biomedical Engineering, Peking University, Beijing; 100871, China
[ 8 ] [Yang, Xu-san]Department of Biomedical Engineering, Peking University, Beijing; 100871, China
[ 9 ] [Xi, Peng]Department of Biomedical Engineering, Peking University, Beijing; 100871, China

Reprint 's Address：

[zeng, zhi-ping]college of physics and information engineering, fuzhou university, fuzhou; 350116, china

Email：

zhipingzeng@fzu.edu.cn

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Computational methods in super-resolution microscopy
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Source ：

Frontiers of Information Technology and Electronic Engineering

ISSN： 2095-9184

Year： 2017

Issue： 9

Volume： 18

Page： 1222-1235

0 . 9 1

JCR@2017

2 . 7 0 0

JCR@2023

ESI HC Threshold：187

JCR Journal Grade：4

CAS Journal Grade：4

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 16

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 1

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