Publicação
Quantitative analysis of Bicyclus anynana's eyespot wing pattern images
| Resumo: | The main objective of this work is to provide researchers with a tool to quantitatively analyse images of the eyespot patterns present in the wings of the butterfly species Bicyclus anynana. More specifically, this tool is a plugin for imageJ, a free open-sourced image processing program. Until now, researchers have been using software such as imageJ to quantify some dimensions of these patterns through manual measurements. This plugin offers an effective, quick and automatic way to obtain these measurements and others more difficult to get until now, such as the area of each coloured region. It also offers the possibility to obtain representative images of the eyespot(s). Besides images with a single eyespot, the program also analyses wing images with several eyespots as well as fluorescence microscopy images with specific proteins labelled. In the first two types, the program finds the eyespots automatically and analyses them individually, and in the latter ones, the program can provide us with intensity plots of transversal cuts through the middle of the eyespot. To obtain the required data, the plugin finds the centre of each eyes pot and, from there, searches for the frontiers of each of its coloured areas. It then calculates their area, diameter and roundness which will be used to calculate the rest of the needed data and to create the representative images. In case of fluorescence microscopy images, the program unites its coloured dots through a dilation process and then acquires the intensity plots. In the end, we have a program that gives more and better data to help future research on evolution and development using this species and that could subsequently be transformed into a more generic plugin capable of analysing any pattern containing closed frontiers due to its strong aptitude to obtain these, regardless of any possible background noise. |
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| Autores principais: | Lopes, Pedro dos Santos, 1982- |
| Assunto: | Bioinformática Padrões de eyespot Bicyclus anynana Microscopia de fluorescência Teses de mestrado - 2011 |
| Ano: | 2011 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The main objective of this work is to provide researchers with a tool to quantitatively analyse images of the eyespot patterns present in the wings of the butterfly species Bicyclus anynana. More specifically, this tool is a plugin for imageJ, a free open-sourced image processing program. Until now, researchers have been using software such as imageJ to quantify some dimensions of these patterns through manual measurements. This plugin offers an effective, quick and automatic way to obtain these measurements and others more difficult to get until now, such as the area of each coloured region. It also offers the possibility to obtain representative images of the eyespot(s). Besides images with a single eyespot, the program also analyses wing images with several eyespots as well as fluorescence microscopy images with specific proteins labelled. In the first two types, the program finds the eyespots automatically and analyses them individually, and in the latter ones, the program can provide us with intensity plots of transversal cuts through the middle of the eyespot. To obtain the required data, the plugin finds the centre of each eyes pot and, from there, searches for the frontiers of each of its coloured areas. It then calculates their area, diameter and roundness which will be used to calculate the rest of the needed data and to create the representative images. In case of fluorescence microscopy images, the program unites its coloured dots through a dilation process and then acquires the intensity plots. In the end, we have a program that gives more and better data to help future research on evolution and development using this species and that could subsequently be transformed into a more generic plugin capable of analysing any pattern containing closed frontiers due to its strong aptitude to obtain these, regardless of any possible background noise. |
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