An open-source method to analyze optokinetic reflex responses in larval zebrafish

Area of Science:

• Neuroscience
• Zebrafish Models
• Oculomotor Function

Background:

• Optokinetic reflex (OKR) is crucial for evaluating visual and oculomotor function.
• Larval zebrafish are key models for studying nervous system development and disease.
• Existing methods for OKR analysis lack comprehensive quantitative assessment.

Purpose of the Study:

• To develop an open-source, automated solution for quantitative analysis of OKR in larval zebrafish.
• To provide a versatile tool for neuroscience research using zebrafish.
• To expand the scope of quantitative analysis for OKR responses.

Main Methods:

• Developed an open-source MATLAB-based software package for automated OKR analysis.
• The software generates visual stimuli, tracks eye movements, and quantifies OKR parameters.
• Includes annotated source code for user modification and adaptation.

Main Results:

• Validated the automated analysis algorithms using normal larval zebrafish.
• Demonstrated good agreement between measured OKR responses and published data.
• The method successfully quantifies essential OKR parameters.

Conclusions:

• The developed open-source method provides a novel approach for eliciting and analyzing OKR in larval zebrafish.
• This tool significantly enhances the quantitative analysis of OKR responses.
• The software is valuable for diverse neuroscience applications utilizing the zebrafish model.