A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Fourier ring correlation simplifies image restoration in fluorescence microscopy
Tekijät: Sami Koho, Giorgio Tortarolo, Marco Castello, Takahiro Deguchi, Alberto Diaspro, Giuseppe Vicidomini
Kustantaja: NATURE PUBLISHING GROUP
Julkaisuvuosi: 2019
Journal: Nature Communications
Tietokannassa oleva lehden nimi: NATURE COMMUNICATIONS
Lehden akronyymi: NAT COMMUN
Artikkelin numero: ARTN 3103
Vuosikerta: 10
Sivujen määrä: 9
ISSN: 2041-1723
DOI: https://doi.org/10.1038/s41467-019-11024-z
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/41357558
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
