| dc.contributor.advisor | Weissbourd, Brandon | |
| dc.contributor.author | Bunch, Bradley | |
| dc.date.accessioned | 2025-08-27T14:31:10Z | |
| dc.date.available | 2025-08-27T14:31:10Z | |
| dc.date.issued | 2025-05 | |
| dc.date.submitted | 2025-06-23T14:01:03.820Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/162522 | |
| dc.description.abstract | Understanding nervous system function and evolution requires detailed behavioral analysis of model organisms such as the jellyfish Clytia hemisphaerica. However, its size and rapid, free-swimming nature pose significant tracking challenges. This work presents a platform for the XY gantry system developed to overcome these hurdles for high-resolution behavioral monitoring. Separately, to prepare for downstream neural analysis, we developed an automated neuron segmentation pipeline - tailored for image registration purposes. Together, the tracking system and the analysis preparation pipeline provide powerful, distinct tools for high-throughput behavioral quantification and facilitate future studies linking behavior to underlying neural dynamics in Clytia hemisphaerica. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Image Registration and Gantry Tracking System of Clytia hemisphaerica | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering | |