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QSIM: quantitative structured illumination microscopy image processing in ImageJ
BACKGROUND: Structured illumination microscopy has been extensively used in biological imaging due to its low cost and easy implementation. However, the lack of quantitative imaging capability limits its application in absolute irradiance measurements. METHOD: We have developed a quantitative struct...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360942/ https://www.ncbi.nlm.nih.gov/pubmed/25588495 http://dx.doi.org/10.1186/1475-925X-14-4 |
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author | Gao, Liang |
author_facet | Gao, Liang |
author_sort | Gao, Liang |
collection | PubMed |
description | BACKGROUND: Structured illumination microscopy has been extensively used in biological imaging due to its low cost and easy implementation. However, the lack of quantitative imaging capability limits its application in absolute irradiance measurements. METHOD: We have developed a quantitative structured illumination microscopy image processing algorithm (QSIM) as a plugin for the widely used ImageJ software. QSIM can work with the raw images acquired by a traditional structured illumination microscope and can quantitatively measure photon numbers, with noise estimates for both wide-field images and sectioned images. RESULTS AND CONCLUSION: We demonstrated the quantitative image processing capability of QSIM by imaging a mouse kidney section in 3D. The results show that QSIM can transform structured illumination microscopy from qualitative to quantitative, which is essential for demanding fluorescence imaging applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-925X-14-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4360942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43609422015-03-17 QSIM: quantitative structured illumination microscopy image processing in ImageJ Gao, Liang Biomed Eng Online Software BACKGROUND: Structured illumination microscopy has been extensively used in biological imaging due to its low cost and easy implementation. However, the lack of quantitative imaging capability limits its application in absolute irradiance measurements. METHOD: We have developed a quantitative structured illumination microscopy image processing algorithm (QSIM) as a plugin for the widely used ImageJ software. QSIM can work with the raw images acquired by a traditional structured illumination microscope and can quantitatively measure photon numbers, with noise estimates for both wide-field images and sectioned images. RESULTS AND CONCLUSION: We demonstrated the quantitative image processing capability of QSIM by imaging a mouse kidney section in 3D. The results show that QSIM can transform structured illumination microscopy from qualitative to quantitative, which is essential for demanding fluorescence imaging applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1475-925X-14-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-14 /pmc/articles/PMC4360942/ /pubmed/25588495 http://dx.doi.org/10.1186/1475-925X-14-4 Text en © Gao; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Gao, Liang QSIM: quantitative structured illumination microscopy image processing in ImageJ |
title | QSIM: quantitative structured illumination microscopy image processing in ImageJ |
title_full | QSIM: quantitative structured illumination microscopy image processing in ImageJ |
title_fullStr | QSIM: quantitative structured illumination microscopy image processing in ImageJ |
title_full_unstemmed | QSIM: quantitative structured illumination microscopy image processing in ImageJ |
title_short | QSIM: quantitative structured illumination microscopy image processing in ImageJ |
title_sort | qsim: quantitative structured illumination microscopy image processing in imagej |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360942/ https://www.ncbi.nlm.nih.gov/pubmed/25588495 http://dx.doi.org/10.1186/1475-925X-14-4 |
work_keys_str_mv | AT gaoliang qsimquantitativestructuredilluminationmicroscopyimageprocessinginimagej |