Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images

Benjamin Risse, Dimitri Berh, Nils Otto, Xiaoyi Jiang, Christian Klämbt

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)269-276
Number of pages8
JournalComputers in Biology and Medicine
Volume63
DOIs
Publication statusPublished - 1 Aug 2015

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