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Fourier ring correlation simplifies image restoration in fluorescence microscopy.

Abstract：

:Fourier ring correlation (FRC) has recently gained popularity among fluorescence microscopists as a straightforward and objective method to measure the effective image resolution. While the knowledge of the numeric resolution value is helpful in e.g., interpreting imaging results, much more practical use can be made of FRC analysis-in this article we propose blind image restoration methods enabled by it. We apply FRC to perform image de-noising by frequency domain filtering. We propose novel blind linear and non-linear image deconvolution methods that use FRC to estimate the effective point-spread-function, directly from the images. We show how FRC can be used as a powerful metric to observe the progress of iterative deconvolution. We also address two important limitations in FRC that may be of more general interest: how to make FRC work with single images (within certain practical limits) and with three-dimensional images with highly anisotropic resolution.

journal_name

Nat Commun

journal_title

Nature communications

authors

Koho S,Tortarolo G,Castello M,Deguchi T,Diaspro A,Vicidomini G

doi

10.1038/s41467-019-11024-z

subject

Has Abstract

pub_date

2019-07-15 00:00:00

pages

3103

issue

1

issn

2041-1723

pii

10.1038/s41467-019-11024-z

journal_volume

10

pub_type

杂志文章

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