Date of Award
5-2023
Document Type
Open Access Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Daniel Haehn
Second Advisor
Dan Simovici
Third Advisor
Jens Rister
Abstract
The Drosophila fruit fly is a well-established model organism for studying vision and neural perception. In this research, we focused on segmenting and analyzing photoreceptor cells in the Drosophila retina, specifically rhabdomeres. To facilitate our study, we acquired a comprehensive 3D dataset of Drosophila retina EM images and developed an automated segmentation pipeline using computer vision techniques. We evaluated the performance of our pipeline using automated metrics on Wild Type CS 1 and Nina D1 Mutant Drosophila datasets and prototyped a 3D model of segmented cells. The generated segmentation masks and 3D models of photoreceptor cells contribute to a better understanding of Drosophila vision and neural perception, and may have implications for further studies in developmental biology, and neurobiology.
Recommended Citation
Jain, Kunal, "Prototyping A 3D Reconstruction of Fly Photoreceptors: From Traditional Computer Vision Techniques to 3D Visualization" (2023). Graduate Masters Theses. 778.
https://scholarworks.umb.edu/masters_theses/778