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FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings

Development requires coordination between cell proliferation and cell growth to pattern the proper size of tissues, organs, and whole organisms. The Drosophila wing has landmark features, such as the location of veins patterned by cell groups and trichome structures produced by individual cells, tha...

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Autores principales: Dobens, Alexander C., Dobens, Leonard L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737183/
https://www.ncbi.nlm.nih.gov/pubmed/23797110
http://dx.doi.org/10.1534/g3.113.006676
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author Dobens, Alexander C.
Dobens, Leonard L.
author_facet Dobens, Alexander C.
Dobens, Leonard L.
author_sort Dobens, Alexander C.
collection PubMed
description Development requires coordination between cell proliferation and cell growth to pattern the proper size of tissues, organs, and whole organisms. The Drosophila wing has landmark features, such as the location of veins patterned by cell groups and trichome structures produced by individual cells, that are useful to examine the genetic contributions to both tissue and cell size. Wing size and trichome density have been measured manually, which is tedious and error prone, and although image processing and pattern-recognition software can quantify features in micrographs, this approach has not been applied to insect wings. Here we present FijiWings, a set of macros designed to perform semiautomated morphophometric analysis of a wing photomicrograph. FijiWings uses plug-ins installed in the Fiji version of ImageJ to detect and count trichomes and measure wing area either to calculate trichome density of a defined region selected by the user or generate a heat map of overall trichome densities. For high-throughput screens we have developed a macro that directs a trainable segmentation plug-in to detect wing vein locations either to measure trichome density in specific intervein regions or produce a heat map of relative intervein areas. We use wing GAL4 drivers and UAS-regulated transgenes to confirm the ability of these tools to detect changes in overall tissue growth and individual cell size. FijiWings is freely available and will be of interest to a broad community of fly geneticists studying both the effect of gene function on wing patterning and the evolution of wing morphology.
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spelling pubmed-37371832013-08-08 FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings Dobens, Alexander C. Dobens, Leonard L. G3 (Bethesda) Investigations Development requires coordination between cell proliferation and cell growth to pattern the proper size of tissues, organs, and whole organisms. The Drosophila wing has landmark features, such as the location of veins patterned by cell groups and trichome structures produced by individual cells, that are useful to examine the genetic contributions to both tissue and cell size. Wing size and trichome density have been measured manually, which is tedious and error prone, and although image processing and pattern-recognition software can quantify features in micrographs, this approach has not been applied to insect wings. Here we present FijiWings, a set of macros designed to perform semiautomated morphophometric analysis of a wing photomicrograph. FijiWings uses plug-ins installed in the Fiji version of ImageJ to detect and count trichomes and measure wing area either to calculate trichome density of a defined region selected by the user or generate a heat map of overall trichome densities. For high-throughput screens we have developed a macro that directs a trainable segmentation plug-in to detect wing vein locations either to measure trichome density in specific intervein regions or produce a heat map of relative intervein areas. We use wing GAL4 drivers and UAS-regulated transgenes to confirm the ability of these tools to detect changes in overall tissue growth and individual cell size. FijiWings is freely available and will be of interest to a broad community of fly geneticists studying both the effect of gene function on wing patterning and the evolution of wing morphology. Genetics Society of America 2013-08-01 /pmc/articles/PMC3737183/ /pubmed/23797110 http://dx.doi.org/10.1534/g3.113.006676 Text en Copyright © 2013 Dobens and Dobens http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Dobens, Alexander C.
Dobens, Leonard L.
FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings
title FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings
title_full FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings
title_fullStr FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings
title_full_unstemmed FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings
title_short FijiWings: An Open Source Toolkit for Semiautomated Morphometric Analysis of Insect Wings
title_sort fijiwings: an open source toolkit for semiautomated morphometric analysis of insect wings
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737183/
https://www.ncbi.nlm.nih.gov/pubmed/23797110
http://dx.doi.org/10.1534/g3.113.006676
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