This work focuses on making a novel ophthalmic Optical transmission tomography (OTT) device at the lowest possible cost and size. OTT prototype demonstrates images from all the layers in anterior human eye, while also benefiting from the cost-efficient design solutions: common-path architecture, mass-market CMOS cameras, latest USB data transfer standards, Arduino electronic control, etc. Notably, we show that the large degree of noise degradation (due to the use of low-cost optics/cameras) can be corrected with denoised neural networks. Moreover, the model trained on one type of camera (global shutter) can be used to improve signal in another camera (rolling shutter).
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.