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Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images
BACKGROUND: Fluorescence microscopy is the standard tool for detection and analysis of cellular phenomena. This technique, however, has a number of drawbacks such as the limited number of available fluorescent channels in microscopes, overlapping excitation and emission spectra of the stains, and ph...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760782/ https://www.ncbi.nlm.nih.gov/pubmed/19847301 http://dx.doi.org/10.1371/journal.pone.0007497 |
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author | Selinummi, Jyrki Ruusuvuori, Pekka Podolsky, Irina Ozinsky, Adrian Gold, Elizabeth Yli-Harja, Olli Aderem, Alan Shmulevich, Ilya |
author_facet | Selinummi, Jyrki Ruusuvuori, Pekka Podolsky, Irina Ozinsky, Adrian Gold, Elizabeth Yli-Harja, Olli Aderem, Alan Shmulevich, Ilya |
author_sort | Selinummi, Jyrki |
collection | PubMed |
description | BACKGROUND: Fluorescence microscopy is the standard tool for detection and analysis of cellular phenomena. This technique, however, has a number of drawbacks such as the limited number of available fluorescent channels in microscopes, overlapping excitation and emission spectra of the stains, and phototoxicity. METHODOLOGY: We here present and validate a method to automatically detect cell population outlines directly from bright field images. By imaging samples with several focus levels forming a bright field [Image: see text] -stack, and by measuring the intensity variations of this stack over the [Image: see text] -dimension, we construct a new two dimensional projection image of increased contrast. With additional information for locations of each cell, such as stained nuclei, this bright field projection image can be used instead of whole cell fluorescence to locate borders of individual cells, separating touching cells, and enabling single cell analysis. Using the popular CellProfiler freeware cell image analysis software mainly targeted for fluorescence microscopy, we validate our method by automatically segmenting low contrast and rather complex shaped murine macrophage cells. SIGNIFICANCE: The proposed approach frees up a fluorescence channel, which can be used for subcellular studies. It also facilitates cell shape measurement in experiments where whole cell fluorescent staining is either not available, or is dependent on a particular experimental condition. We show that whole cell area detection results using our projected bright field images match closely to the standard approach where cell areas are localized using fluorescence, and conclude that the high contrast bright field projection image can directly replace one fluorescent channel in whole cell quantification. Matlab code for calculating the projections can be downloaded from the supplementary site: http://sites.google.com/site/brightfieldorstaining |
format | Text |
id | pubmed-2760782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27607822009-10-22 Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images Selinummi, Jyrki Ruusuvuori, Pekka Podolsky, Irina Ozinsky, Adrian Gold, Elizabeth Yli-Harja, Olli Aderem, Alan Shmulevich, Ilya PLoS One Research Article BACKGROUND: Fluorescence microscopy is the standard tool for detection and analysis of cellular phenomena. This technique, however, has a number of drawbacks such as the limited number of available fluorescent channels in microscopes, overlapping excitation and emission spectra of the stains, and phototoxicity. METHODOLOGY: We here present and validate a method to automatically detect cell population outlines directly from bright field images. By imaging samples with several focus levels forming a bright field [Image: see text] -stack, and by measuring the intensity variations of this stack over the [Image: see text] -dimension, we construct a new two dimensional projection image of increased contrast. With additional information for locations of each cell, such as stained nuclei, this bright field projection image can be used instead of whole cell fluorescence to locate borders of individual cells, separating touching cells, and enabling single cell analysis. Using the popular CellProfiler freeware cell image analysis software mainly targeted for fluorescence microscopy, we validate our method by automatically segmenting low contrast and rather complex shaped murine macrophage cells. SIGNIFICANCE: The proposed approach frees up a fluorescence channel, which can be used for subcellular studies. It also facilitates cell shape measurement in experiments where whole cell fluorescent staining is either not available, or is dependent on a particular experimental condition. We show that whole cell area detection results using our projected bright field images match closely to the standard approach where cell areas are localized using fluorescence, and conclude that the high contrast bright field projection image can directly replace one fluorescent channel in whole cell quantification. Matlab code for calculating the projections can be downloaded from the supplementary site: http://sites.google.com/site/brightfieldorstaining Public Library of Science 2009-10-22 /pmc/articles/PMC2760782/ /pubmed/19847301 http://dx.doi.org/10.1371/journal.pone.0007497 Text en Selinummi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Selinummi, Jyrki Ruusuvuori, Pekka Podolsky, Irina Ozinsky, Adrian Gold, Elizabeth Yli-Harja, Olli Aderem, Alan Shmulevich, Ilya Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images |
title | Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images |
title_full | Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images |
title_fullStr | Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images |
title_full_unstemmed | Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images |
title_short | Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images |
title_sort | bright field microscopy as an alternative to whole cell fluorescence in automated analysis of macrophage images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760782/ https://www.ncbi.nlm.nih.gov/pubmed/19847301 http://dx.doi.org/10.1371/journal.pone.0007497 |
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