Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782239507579404288 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3408948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT krishnamurthiganapathy removalofsubsurfacefluorescenceincryoimagingusingdeconvolution AT wangcharliey removalofsubsurfacefluorescenceincryoimagingusingdeconvolution AT steyergrant removalofsubsurfacefluorescenceincryoimagingusingdeconvolution AT wilsondavidl removalofsubsurfacefluorescenceincryoimagingusingdeconvolution |