Journal
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
Volume 18, Issue 9, Pages 1222-1235Publisher
ZHEJIANG UNIV PRESS
DOI: 10.1631/FITEE.1601628
Keywords
Super-resolution microscopy; Deconvolution; Computational methods
Categories
Funding
- National Key Foundation for Exploring Scientific Instrument [2013YQ03065102]
- National Basic Research Program (973) of China [2012CB316503]
- National Natural Science Foundation of China [31327901, 61475010, 31361163004, 61428501]
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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.
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