FIM, a Novel FTIR-Based Imaging Method for High Throughput Locomotion Analysis

We designed a novel imaging technique based on frustrated total internal reflection (FTIR) to obtain high resolution and high contrast movies. This FTIR-based Imaging Method (FIM) is suitable for a wide range of biological applications and a wide range of organisms. It operates at all wavelengths permitting the in vivo detection of fluorescent proteins. To demonstrate the benefits of FIM, we analyzed large groups of crawling Drosophila larvae. The number of analyzable locomotion tracks was increased by implementing a new software module capable of preserving larval identity during most collision events. This module is integrated in our new tracking program named FIMTrack which subsequently extracts a number of features required for the analysis of complex locomotion phenotypes. FIM enables high throughput screening for even subtle behavioral phenotypes. We tested this newly developed setup by analyzing locomotion deficits caused by the glial knockdown of several genes. Suppression of kinesin heavy chain (khc) or rab30 function led to contraction pattern or head sweeping defects, which escaped in previous analysis. Thus, FIM permits forward genetic screens aimed to unravel the neural basis of behavior.

[1]  Hiroshi Kohsaka,et al.  Optical Dissection of Neural Circuits Responsible for Drosophila Larval Locomotion with Halorhodopsin , 2011, PloS one.

[2]  Aravinthan D. T. Samuel,et al.  Controlling airborne cues to study small animal navigation , 2012, Nature Methods.

[3]  Simon G. Sprecher,et al.  Seeing the light: photobehavior in fruit fly larvae , 2012, Trends in Neurosciences.

[4]  Kami Kim,et al.  Bright and stable near infra-red fluorescent protein for in vivo imaging , 2011, Nature Biotechnology.

[5]  Julie H. Simpson,et al.  Genetic Manipulation of Genes and Cells in the Nervous System of the Fruit Fly , 2011, Neuron.

[6]  Michael H. Dickinson,et al.  Multi-camera real-time three-dimensional tracking of multiple flying animals , 2010, Journal of The Royal Society Interface.

[7]  Rex A. Kerr,et al.  High-Throughput Behavioral Analysis in C. elegans , 2011, Nature Methods.

[8]  Michael H. Dickinson,et al.  A Simple Vision-Based Algorithm for Decision Making in Flying Drosophila , 2008, Current Biology.

[9]  Shawn R. Lockery,et al.  Characterization of Drosophila Larval Crawling at the Level of Organism, Segment, and Somatic Body Wall Musculature , 2012, The Journal of Neuroscience.

[10]  David Berrigan,et al.  HOW MAGGOTS MOVE : ALLOMETRY AND KINEMATICS OF CRAWLING IN LARVAL DIPTERA , 1995 .

[11]  Alex Gomez-Marin,et al.  Active sensation during orientation behavior in the Drosophila larva: more sense than luck , 2012, Current Opinion in Neurobiology.

[12]  C. Cowan,et al.  Increased throughput assays of locomotor dysfunction in Drosophila larvae , 2012, Journal of Neuroscience Methods.

[13]  L. Looger,et al.  The Role of the TRP Channel NompC in Drosophila Larval and Adult Locomotion , 2010, Neuron.

[14]  C. Klämbt,et al.  Kinesin Heavy Chain Function in Drosophila Glial Cells Controls Neuronal Activity , 2012, The Journal of Neuroscience.

[15]  Hemerson Pistori,et al.  Mice and larvae tracking using a particle filter with an auto-adjustable observation model , 2010, Pattern Recognit. Lett..

[16]  Ana Regina Campos,et al.  Kinematic Analysis of Drosophila Larval Locomotion in Response to Intermittent Light Pulses , 2007, Behavior genetics.

[17]  A. J Spink,et al.  The EthoVision video tracking system—A tool for behavioral phenotyping of transgenic mice , 2001, Physiology & Behavior.

[18]  Keiichi Abe,et al.  Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..

[19]  A. Gomez-Marin,et al.  Active sampling and decision making in Drosophila chemotaxis , 2011, Nature communications.

[20]  Sukant Khurana,et al.  Image Enhancement for Tracking the Translucent Larvae of Drosophila melanogaster , 2010, PloS one.

[21]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[22]  Michael H Dickinson,et al.  Closing the loop between neurobiology and flight behavior in Drosophila , 2004, Current Opinion in Neurobiology.

[23]  Illumination for worm tracking and behavioral imaging. , 2011, Cold Spring Harbor protocols.

[24]  Christopher J. Potter,et al.  A versatile in vivo system for directed dissection of gene expression patterns , 2011, Nature Methods.

[25]  S. N. Fry,et al.  The Aerodynamics of Free-Flight Maneuvers in Drosophila , 2003, Science.

[26]  Greg J. Stephens,et al.  Automated Tracking of Animal Posture and Movement during Exploration and Sensory Orientation Behaviors , 2012, PloS one.

[27]  Marc Gershow,et al.  Two Alternating Motor Programs Drive Navigation in Drosophila Larva , 2011, PloS one.

[28]  Aravinthan D. T. Samuel,et al.  Navigational Decision Making in Drosophila Thermotaxis , 2010, The Journal of Neuroscience.