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Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement

We propose and demonstrate a novel subtraction microscopy algorithm, exploiting fluorescence emission difference or switching laser mode and their derivatives for image enhancement. The key novelty of the proposed approach lies in the weighted subtraction coefficient, adjusted pixel-by-pixel with re...

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Detalles Bibliográficos
Autores principales: Korobchevskaya, Kseniya, Peres, Chiara, Li, Zhibin, Antipov, Alexei, Sheppard, Colin J. R., Diaspro, Alberto, Bianchini, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865876/
https://www.ncbi.nlm.nih.gov/pubmed/27174367
http://dx.doi.org/10.1038/srep25816
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author Korobchevskaya, Kseniya
Peres, Chiara
Li, Zhibin
Antipov, Alexei
Sheppard, Colin J. R.
Diaspro, Alberto
Bianchini, Paolo
author_facet Korobchevskaya, Kseniya
Peres, Chiara
Li, Zhibin
Antipov, Alexei
Sheppard, Colin J. R.
Diaspro, Alberto
Bianchini, Paolo
author_sort Korobchevskaya, Kseniya
collection PubMed
description We propose and demonstrate a novel subtraction microscopy algorithm, exploiting fluorescence emission difference or switching laser mode and their derivatives for image enhancement. The key novelty of the proposed approach lies in the weighted subtraction coefficient, adjusted pixel-by-pixel with respect to the intensity distributions of initial images. This method produces significant resolution enhancement and minimizes image distortions. Our theoretical and experimental studies demonstrate that this approach can be applied to any optical microscopy techniques, including label free and non-linear methods, where common super-resolution techniques cannot be used.
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spelling pubmed-48658762016-05-23 Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement Korobchevskaya, Kseniya Peres, Chiara Li, Zhibin Antipov, Alexei Sheppard, Colin J. R. Diaspro, Alberto Bianchini, Paolo Sci Rep Article We propose and demonstrate a novel subtraction microscopy algorithm, exploiting fluorescence emission difference or switching laser mode and their derivatives for image enhancement. The key novelty of the proposed approach lies in the weighted subtraction coefficient, adjusted pixel-by-pixel with respect to the intensity distributions of initial images. This method produces significant resolution enhancement and minimizes image distortions. Our theoretical and experimental studies demonstrate that this approach can be applied to any optical microscopy techniques, including label free and non-linear methods, where common super-resolution techniques cannot be used. Nature Publishing Group 2016-05-12 /pmc/articles/PMC4865876/ /pubmed/27174367 http://dx.doi.org/10.1038/srep25816 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Korobchevskaya, Kseniya
Peres, Chiara
Li, Zhibin
Antipov, Alexei
Sheppard, Colin J. R.
Diaspro, Alberto
Bianchini, Paolo
Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
title Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
title_full Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
title_fullStr Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
title_full_unstemmed Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
title_short Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement
title_sort intensity weighted subtraction microscopy approach for image contrast and resolution enhancement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865876/
https://www.ncbi.nlm.nih.gov/pubmed/27174367
http://dx.doi.org/10.1038/srep25816
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