ArticleTranslational vision science & technology2025
High-Performance, Low-Cost Optical Coherence Tomography System Using a Jetson Orin Nano for Real-Time Control and Image Processing.
Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Automated processing pipeline for functional imaging of human cardiac organoids using optical coherence tomography.Biomedical optics express · 2026Article
- OCT-guided angle-resolved low-coherence interferometry for microstructural analysis of the human retina.Biomedical optics express · 2026Article
- Indocyanine green (ICG) enhances penetration of 1300 nm optical coherence tomography imaging forOptics letters · 2025Article
- Development of next generation low-cost OCT towards improved point-of-care retinal imaging.Biomedical optics express · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Purpose: Optical coherence tomography (OCT) has become an indispensable tool for the detection and analysis of diseased retinal tissue. Recent advances in reducing the size and cost of OCT systems have aimed at expanding their use for new applications and settings, such as serving as a screening tool at the point of care or in low-resource areas. Here, we report on the development of a compact, low-cost OCT system that offers significantly improved performance while also further reducing cost and system size. Methods: A high-performance OCT system was realized by leveraging graphics processing unit (GPU)-accelerated parallel processing in a system on module, the NVIDIA Jetson Orin Nano, integrated into a low-cost OCT system. Instrument performance for retinal imaging was benchmarked against current low-cost OCT systems. Results: A fivefold increase in processing speed was obtained for the Jetson-powered low-cost OCT without loss of image quality. The compact and low-cost nature of the system was preserved while its volume was reduced by 67% and computing cost was reduced by 22%. Conclusions: The advance in imaging performance can significantly expand the accessibility and clinical utility of low-cost OCT systems. Translational Relevance: Implementation of the system on module computer improved the computational performance without compromising the cost or size of low-cost OCT systems, which will accelerate the application of low-cost OCT to clinical use.
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Registered trials
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