Automating Video Analysis of Zebrafish Regeneration — Presentation Detail — Celebration of Scholars

Instructions

Student presentations must have a faculty sponsor.

Abstracts must include a title and a description of the research, scholarship, or creative work. The description should be 150-225 words in length and constructed in a format or style appropriate for the presenter’s discipline.

The following points should be addressed within the selected format or style for the abstract:

A clear statement of the problem or question you pursued, or the scholarly goal or creative theme achieved in your work.
A brief comment about the significance or uniqueness of the work.
A clear description of the methods used to achieve the purpose or goals for the work.
A statement of the conclusions, results, outcomes, or recommendations, or if the work is still in progress, the results you expect to report at the event.

Presenter photographs should be head and shoulder shots comparable to passport photos.

Additional Information

More information is available at carthage.edu/celebration-scholars/. The following are members of the Research, Scholarship, and Creativity Committee who are eager to listen to ideas and answer questions:

Jun Wang
Kim Instenes
John Kirk
Nora Nickels
Andrew Pustina
James Ripley

Automating Video Analysis of Zebrafish Regeneration

Name: Sophia Tajnai
Major: Computer Science
Hometown: Racine
Faculty Sponsor: Steven Henle
Other Sponsors:
Type of research: SURE
Funding: SURE

Abstract

Zebrafish, or Danio rerio, are model organisms commonly used in research. Though they are used in many areas of research, their nervous system has regenerative abilities that can bring exciting research opportunities. Zebrafish have the ability to regenerate their ocular nerve after significant damage and are studied in hopes to promote this effect in humans. One dilemma faced by researchers is measuring the progress of optic nerve regeneration. The Optokinetic Response (OKR) is a reflex that is shared by many creatures to help stabilize the eye during visual tracking. Measuring the OKR in a zebrafish can serve as an eye test to better understand the state of the optic nerve. Currently, there is no efficient method to measure video of the OKR quantitatively. The automation of video analysis for the OKR in adult zebrafish can be achieved by utilizing image analysis functions from the python packages OpenCV and Scikit’s image processing algorithms. A CSV file is produced that allows for graphical evidence of eye movement and aids in furthering the regenerative research.

Poster file