DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.

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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Manuel Guillermo Forero, Anabel R Learte, Stephanie Cartwright, Alicia Hidalgo
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2010
Materias:
R
Q
Acceso en línea:https://doaj.org/article/e2238bca10864305ac57e2458fa9d1fa
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:e2238bca10864305ac57e2458fa9d1fa
record_format dspace
spelling oai:doaj.org-article:e2238bca10864305ac57e2458fa9d1fa2021-12-02T20:21:47ZDeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.1932-620310.1371/journal.pone.0010557https://doaj.org/article/e2238bca10864305ac57e2458fa9d1fa2010-05-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20479944/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Cell 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.Manuel Guillermo ForeroAnabel R LearteStephanie CartwrightAlicia HidalgoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 5, p e10557 (2010)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Manuel Guillermo Forero
Anabel R Learte
Stephanie Cartwright
Alicia Hidalgo
DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
description 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.
format article
author Manuel Guillermo Forero
Anabel R Learte
Stephanie Cartwright
Alicia Hidalgo
author_facet Manuel Guillermo Forero
Anabel R Learte
Stephanie Cartwright
Alicia Hidalgo
author_sort Manuel Guillermo Forero
title DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
title_short DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
title_full DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
title_fullStr DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
title_full_unstemmed DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
title_sort deadeasy mito-glia: automatic counting of mitotic cells and glial cells in drosophila.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/e2238bca10864305ac57e2458fa9d1fa
work_keys_str_mv AT manuelguillermoforero deadeasymitogliaautomaticcountingofmitoticcellsandglialcellsindrosophila
AT anabelrlearte deadeasymitogliaautomaticcountingofmitoticcellsandglialcellsindrosophila
AT stephaniecartwright deadeasymitogliaautomaticcountingofmitoticcellsandglialcellsindrosophila
AT aliciahidalgo deadeasymitogliaautomaticcountingofmitoticcellsandglialcellsindrosophila
_version_ 1718374138925547520