DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila

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DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila. / Forero-Vargas, Manuel; Rodriguez-Learte, Ana; Cartwright, Stephanie; Hidalgo, Alicia.

In: PLoS ONE, Vol. 5, No. 5, 10.05.2010, p. e10557.

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Forero-Vargas, Manuel ; Rodriguez-Learte, Ana ; Cartwright, Stephanie ; Hidalgo, Alicia. / DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila. In: PLoS ONE. 2010 ; Vol. 5, No. 5. pp. e10557.

Bibtex

@article{d0300b3f98804dacb3b057ea32d6e8d9,
title = "DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila",
abstract = "Cell number changes during normal development, and in disease (e.g., neurodegeneration, cancer). Many genes affect cell number, thus functional genetic analysis frequently requires analysis of cell number alterations upon loss of function mutations or in gain of function experiments. Drosophila is a most powerful model organism to investigate the function of genes involved in development or disease in vivo. Image processing and pattern recognition techniques can be used to extract information from microscopy images to quantify automatically distinct cellular features, but these methods are still not very extended in this model organism. Thus cellular quantification is often carried out manually, which is laborious, tedious, error prone or humanly unfeasible. Here, we present DeadEasy Mito-Glia, an image processing method to count automatically the number of mitotic cells labelled with anti-phospho-histone H3 and of glial cells labelled with anti-Repo in Drosophila embryos. This programme belongs to the DeadEasy suite of which we have previously developed versions to count apoptotic cells and neuronal nuclei. Having separate programmes is paramount for accuracy. DeadEasy Mito-Glia is very easy to use, fast, objective and very accurate when counting dividing cells and glial cells labelled with a nuclear marker. Although this method has been validated for Drosophila embryos, we provide an interactive window for biologists to easily extend its application to other nuclear markers and other sample types. DeadEasy MitoGlia is freely available as an ImageJ plug-in, it increases the repertoire of tools for in vivo genetic analysis, and it will be of interest to a broad community of developmental, cancer and neuro-biologists.",
author = "Manuel Forero-Vargas and Ana Rodriguez-Learte and Stephanie Cartwright and Alicia Hidalgo",
year = "2010",
month = may,
day = "10",
doi = "10.1371/journal.pone.0010557",
language = "English",
volume = "5",
pages = "e10557",
journal = "PLoSONE",
issn = "1932-6203",
publisher = "Public Library of Science (PLOS)",
number = "5",

}

RIS

TY - JOUR

T1 - DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila

AU - Forero-Vargas, Manuel

AU - Rodriguez-Learte, Ana

AU - Cartwright, Stephanie

AU - Hidalgo, Alicia

PY - 2010/5/10

Y1 - 2010/5/10

N2 - Cell number changes during normal development, and in disease (e.g., neurodegeneration, cancer). Many genes affect cell number, thus functional genetic analysis frequently requires analysis of cell number alterations upon loss of function mutations or in gain of function experiments. Drosophila is a most powerful model organism to investigate the function of genes involved in development or disease in vivo. Image processing and pattern recognition techniques can be used to extract information from microscopy images to quantify automatically distinct cellular features, but these methods are still not very extended in this model organism. Thus cellular quantification is often carried out manually, which is laborious, tedious, error prone or humanly unfeasible. Here, we present DeadEasy Mito-Glia, an image processing method to count automatically the number of mitotic cells labelled with anti-phospho-histone H3 and of glial cells labelled with anti-Repo in Drosophila embryos. This programme belongs to the DeadEasy suite of which we have previously developed versions to count apoptotic cells and neuronal nuclei. Having separate programmes is paramount for accuracy. DeadEasy Mito-Glia is very easy to use, fast, objective and very accurate when counting dividing cells and glial cells labelled with a nuclear marker. Although this method has been validated for Drosophila embryos, we provide an interactive window for biologists to easily extend its application to other nuclear markers and other sample types. DeadEasy MitoGlia is freely available as an ImageJ plug-in, it increases the repertoire of tools for in vivo genetic analysis, and it will be of interest to a broad community of developmental, cancer and neuro-biologists.

AB - Cell number changes during normal development, and in disease (e.g., neurodegeneration, cancer). Many genes affect cell number, thus functional genetic analysis frequently requires analysis of cell number alterations upon loss of function mutations or in gain of function experiments. Drosophila is a most powerful model organism to investigate the function of genes involved in development or disease in vivo. Image processing and pattern recognition techniques can be used to extract information from microscopy images to quantify automatically distinct cellular features, but these methods are still not very extended in this model organism. Thus cellular quantification is often carried out manually, which is laborious, tedious, error prone or humanly unfeasible. Here, we present DeadEasy Mito-Glia, an image processing method to count automatically the number of mitotic cells labelled with anti-phospho-histone H3 and of glial cells labelled with anti-Repo in Drosophila embryos. This programme belongs to the DeadEasy suite of which we have previously developed versions to count apoptotic cells and neuronal nuclei. Having separate programmes is paramount for accuracy. DeadEasy Mito-Glia is very easy to use, fast, objective and very accurate when counting dividing cells and glial cells labelled with a nuclear marker. Although this method has been validated for Drosophila embryos, we provide an interactive window for biologists to easily extend its application to other nuclear markers and other sample types. DeadEasy MitoGlia is freely available as an ImageJ plug-in, it increases the repertoire of tools for in vivo genetic analysis, and it will be of interest to a broad community of developmental, cancer and neuro-biologists.

U2 - 10.1371/journal.pone.0010557

DO - 10.1371/journal.pone.0010557

M3 - Article

C2 - 20479944

VL - 5

SP - e10557

JO - PLoSONE

JF - PLoSONE

SN - 1932-6203

IS - 5

ER -