Date of Submission
Fall 2018
Academic Programs and Concentrations
Computer Science
Project Advisor 1
Sven Anderson
Abstract/Artist's Statement
Xenopus laevis tadpoles are a useful animal model for neurobiology research because they provide a means to study the development of the brain in a species that is both physiologically well-understood and logistically easy to maintain in the laboratory. For behavioral studies, however, their individual and social swimming patterns represent a largely untapped trove of data, due to the lack of a computational tool that can accurately track multiple tadpoles at once in video feeds. This paper presents a system that was developed to accomplish this task, which can reliably track up to six tadpoles in a controlled environment, thereby enabling new research studies that were previously not feasible.
Open Access Agreement
Open Access
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Hamme, Alexander Hansen, "Quantitative Behavior Tracking of Xenopus laevis Tadpoles for Neurobiology Research" (2018). Senior Projects Fall 2018. 48.
https://digitalcommons.bard.edu/senproj_f2018/48
The entire set of code created in the development of this project, along with the trained neural network model file.
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.