Computer vision and robotics enable automated experimentation on drosophila behavior
Abstract/Contents
- Abstract
- The fruit fly, Drosophila melanogaster, is a widely used model animal in neuroscience and diverse fields of biological and medical domains. Increased automation of assays would greatly facilitate many aspects of research, but the implementation of automated assays has been hindered by the difficulty of handling individual flies in a mechanized way. To address this hurdle, we introduce FlyMAX (Fly Manipulation and Automated eXperimentation), a system capable of collecting adult flies without the use of anesthesia and inspecting them with machine vision, yielding a throughput over 1,000 flies daily for high-throughput assays. Our study validates that the robotic handling of flies has no adverse effects on fly health. Furthermore, the integration of deep learning-based machine vision enables real-time inspection of fly quality and phenotypes. Notably, the system allows for automated assessments of stimuli-response behavior assays on individual flies. FlyMAX offers a promising solution for enhancing the efficiency and reproducibility of insect research in various fields such as genetics, neuroscience, and drug testing.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Woo, Seung Je |
|---|---|
| Degree supervisor | Schnitzer, Mark Jacob, 1970- |
| Thesis advisor | Schnitzer, Mark Jacob, 1970- |
| Thesis advisor | Clandinin, Thomas R. (Thomas Robert), 1970- |
| Thesis advisor | El Gamal, Abbas A |
| Thesis advisor | Pauly, John (John M.) |
| Degree committee member | Clandinin, Thomas R. (Thomas Robert), 1970- |
| Degree committee member | El Gamal, Abbas A |
| Degree committee member | Pauly, John (John M.) |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Seung Je Woo. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/dx374mw6433 |
Access conditions
- Copyright
- © 2023 by Seung Je Woo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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