Comput. Biol. Med. - Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images.

Tópicos

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Resumo

Quantitative analysis of behavioral traits requires precise image acquisition and sophisticated image analysis to detect subtle locomotion phenotypes. In the past, we have established Frustrated Total Internal Reflection (FTIR) to improve the measurability of small animals like insects. This FTIR-based Imaging Method (FIM) results in an excellent foreground/background contrast and even internal organs and other structures are visible without any complicated imaging or labeling techniques. For example, the trachea and muscle organizations are detectable in FIM images. Here these morphological details are incorporated into phenotyping by performing cluster analysis using histogram-based statistics for the first time. We demonstrate that FIM enables the precise quantification of locomotion features namely rolling behavior or muscle contractions. Both were impossible to quantify automatically before. This approach extends the range of FIM applications by enabling advanced automatic phenotyping for particular locomotion patterns.

Resumo Limpo

quantit analysi behavior trait requir precis imag acquisit sophist imag analysi detect subtl locomot phenotyp past establish frustrat total intern reflect ftir improv measur small anim like insect ftirbas imag method fim result excel foregroundbackground contrast even intern organ structur visibl without complic imag label techniqu exampl trachea muscl organ detect fim imag morpholog detail incorpor phenotyp perform cluster analysi use histogrambas statist first time demonstr fim enabl precis quantif locomot featur name roll behavior muscl contract imposs quantifi automat approach extend rang fim applic enabl advanc automat phenotyp particular locomot pattern

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