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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4865876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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