title: Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images.
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.
authors.affiliation: Department of Computer Science, University of Münster, Einsteinstr. 62, 48149 Münster, Germany; Institute of Neuro and Behavioural Biology, University of Münster, Badestr. 9, 48149 Münster, Germany.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Risse
authors.affiliation: Department of Computer Science, University of Münster, Einsteinstr. 62, 48149 Münster, Germany; Institute of Neuro and Behavioural Biology, University of Münster, Badestr. 9, 48149 Münster, Germany.
authors.forename: Dimitri
authors.initials: D
authors.lastname: Berh
authors.affiliation: Institute of Neuro and Behavioural Biology, University of Münster, Badestr. 9, 48149 Münster, Germany.
authors.forename: Nils
authors.initials: N
authors.lastname: Otto
authors.affiliation: Department of Computer Science, University of Münster, Einsteinstr. 62, 48149 Münster, Germany; Cluster of Excellence EXC 1003, Cells in Motion, CiM, Münster, Germany. Electronic address: xjiang@uni-muenster.de.
authors.forename: Xiaoyi
authors.initials: X
authors.lastname: Jiang
authors.affiliation: Institute of Neuro and Behavioural Biology, University of Münster, Badestr. 9, 48149 Münster, Germany; Cluster of Excellence EXC 1003, Cells in Motion, CiM, Münster, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Klämbt
mesh_terms: D000818:Animals; D004331:Drosophila melanogaster; D007814:Larva / Q000502:physiology; D008124:Locomotion / Q000502:physiology*; D008954:Models, Biological
keywords: Clustering; Drosophila larva; FTIR-based Imaging Method (FIM); Frustrated Total Internal Reflection (FTIR); Histogram analysis; Internal organs; Neuroscience; Peristalsis; Rolling behavior; Trachea