Data from: Multichannel Stroboscopic Videography (MSV): A technique for visualizing multiple channels for behavioral measurements.
Soto, Alberto; McHenry, Matthew; Po, Theodora (2019), Data from: Multichannel Stroboscopic Videography (MSV): A technique for visualizing multiple channels for behavioral measurements., v2, UC Irvine, Dataset, https://doi.org/10.7280/D1R67V
Biologists commonly visualize dierent features of an organism using distinct sources of illumination. Multichannel imaging has largely not been applied to behavioral studies due to the challenges posed by a moving subject. We address this challenge with the technique of Multichannel Stroboscopic Videography (MSV), which synchronizes multiple strobe lights with video exposures of a single camera. We illustrate the utility of this approach with kinematic measurements of a walking cockroach (Gromphadorhina portentosa) and calculations of the pressure field around a swimming fish (Danio rerio). In both, transmitted illumination generated high-contrast images of the animal's body in one channel. Other sources of illumination were used to visualize the points of contact for the feet of the cockroach and water flow around the fish in separate channels. MSV provides an enhanced potential for high-throughput experimentation and the capacity to integrate changes in physiological or environmental conditions in freely-behaving animals.
The data package contains the raw image sequences for both experimental tests (cockroach and zebrafish) of MSV, the Matlab codes used to analyze the images, and the output data from the Matlab scripts. These data have not been post-processed. The manuscript figures contain processed versions of these data.
National Science Foundation, Award: DGE-1839285
National Science Foundation, Award: IOS-1354842
Office of Naval Research, Award: N00014-15-1-2249
Office of Naval Research, Award: N00014-19-1-2035