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Removal of subsurface fluorescence in cryo-imaging using deconvolution

We compared image restoration methods [Richardson-Lucy (RL), Wiener, and Next-image] with measured “scatter” point-spread-functions, for removing subsurface fluorescence from section-and-image cryo-image volumes. All methods removed haze, delineated single cells from clusters, and improved visualiza...

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Detalles Bibliográficos
Autores principales: Krishnamurthi, Ganapathy, Wang, Charlie Y., Steyer, Grant, Wilson, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408948/
https://www.ncbi.nlm.nih.gov/pubmed/20941133
http://dx.doi.org/10.1364/OE.18.022324
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author Krishnamurthi, Ganapathy
Wang, Charlie Y.
Steyer, Grant
Wilson, David L.
author_facet Krishnamurthi, Ganapathy
Wang, Charlie Y.
Steyer, Grant
Wilson, David L.
author_sort Krishnamurthi, Ganapathy
collection PubMed
description We compared image restoration methods [Richardson-Lucy (RL), Wiener, and Next-image] with measured “scatter” point-spread-functions, for removing subsurface fluorescence from section-and-image cryo-image volumes. All methods removed haze, delineated single cells from clusters, and improved visualization, but RL best represented structures. Contrast-to-noise and contrast-to-background improvement from RL and Wiener were comparable and 35% better than Next-image. Concerning detection of labeled cells, ROC analyses showed RL ≈Wiener > Next-image >> no processing. Next-image was faster than other methods and less prone to image processing artifacts. RL is recommended for the best restoration of the shape and size of fluorescent structures.
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spelling pubmed-34089482012-10-01 Removal of subsurface fluorescence in cryo-imaging using deconvolution Krishnamurthi, Ganapathy Wang, Charlie Y. Steyer, Grant Wilson, David L. Opt Express Research-Article We compared image restoration methods [Richardson-Lucy (RL), Wiener, and Next-image] with measured “scatter” point-spread-functions, for removing subsurface fluorescence from section-and-image cryo-image volumes. All methods removed haze, delineated single cells from clusters, and improved visualization, but RL best represented structures. Contrast-to-noise and contrast-to-background improvement from RL and Wiener were comparable and 35% better than Next-image. Concerning detection of labeled cells, ROC analyses showed RL ≈Wiener > Next-image >> no processing. Next-image was faster than other methods and less prone to image processing artifacts. RL is recommended for the best restoration of the shape and size of fluorescent structures. Optical Society of America 2010-10-07 /pmc/articles/PMC3408948/ /pubmed/20941133 http://dx.doi.org/10.1364/OE.18.022324 Text en ©2010 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Research-Article
Krishnamurthi, Ganapathy
Wang, Charlie Y.
Steyer, Grant
Wilson, David L.
Removal of subsurface fluorescence in cryo-imaging using deconvolution
title Removal of subsurface fluorescence in cryo-imaging using deconvolution
title_full Removal of subsurface fluorescence in cryo-imaging using deconvolution
title_fullStr Removal of subsurface fluorescence in cryo-imaging using deconvolution
title_full_unstemmed Removal of subsurface fluorescence in cryo-imaging using deconvolution
title_short Removal of subsurface fluorescence in cryo-imaging using deconvolution
title_sort removal of subsurface fluorescence in cryo-imaging using deconvolution
topic Research-Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408948/
https://www.ncbi.nlm.nih.gov/pubmed/20941133
http://dx.doi.org/10.1364/OE.18.022324
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