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Cynomolgus monkey's retina volume reference database based on hybrid deep learning optical coherence tomography
Nora Denk1,2, Christian Freichel1, Philippe Valmaggia2,3
1Pharma Research and Early Development (pRED), Pharmaceutical Sciences (PS), Roche, Innovation Center Basel, 4070, Basel, Switzerland.
Scientific Reports
|April 9, 2023
Summary
This study establishes a reference database for cynomolgus monkey retinal volumes using optical coherence tomography. Monkey origin and sex significantly impact retinal volumes, crucial for pre-clinical ocular research.
Area of Science:
- Ophthalmology and Pre-clinical Research
- Primate Models in Vision Science
- Retinal Imaging and Morphometry
Background:
- Cynomolgus monkeys (Macaca fascicularis) are vital in pre-clinical ocular studies.
- Limited data exists on normal macaque retinal morphology and variation.
- Establishing a comprehensive reference database is essential for accurate research.
Purpose of the Study:
- To investigate variations in retinal volumes of healthy cynomolgus monkeys.
- To determine the effects of sex, origin, and eye side on retinal volumes.
- To create a comprehensive reference database for macaque retinal morphology.
Main Methods:
- Utilized optical coherence tomography (OCT) for high-resolution retinal imaging.
- Employed a machine-learning algorithm for automated retinal segmentation.
- Applied classical computer vision to identify the foveolar depression's deepest point.
Main Results:
- Overall foveolar mean volume in zone 1 was 0.205 mm³ (CV 7.9%).
- Retinal volumes generally showed low variation, but significant differences were found based on monkey origin.
- Monkey sex significantly impacted paracentral retinal volume.
Conclusions:
- Monkey origin and sex are critical factors influencing retinal volumes in cynomolgus monkeys.
- These findings necessitate consideration of origin and sex in interpreting macaque retinal data.
- The established database provides a valuable resource for pre-clinical ocular research.
