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29 March 2024 Remote and low-cost intraocular pressure monitoring by deep learning of speckle patterns
Zeev Kalyuzhner, Sergey Agdarov, Yevgeny Beiderman, Aviya Bennet, Yafim Beiderman, Zeev Zalevsky
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Journal of Biomedical Optics, Vol. 29, Issue 3, 037003 (March 2024). https://doi.org/10.1117/1.JBO.29.3.037003
Abstract

Significance

Glaucoma, a leading cause of global blindness, disproportionately affects low-income regions due to expensive diagnostic methods. Affordable intraocular pressure (IOP) measurement is crucial for early detection, especially in low- and middle-income countries.

Aim

We developed a remote photonic IOP biomonitoring method by deep learning of the speckle patterns reflected from an eye sclera stimulated by a sound source. We aimed to achieve precise IOP measurements.

Approach

IOP was artificially raised in 24 pig eyeballs, considered similar to human eyes, to apply our biomonitoring method. By deep learning of the speckle pattern videos, we analyzed the data for accurate IOP determination.

Results

Our method demonstrated the possibility of high-precision IOP measurements. Deep learning effectively analyzed the speckle patterns, enabling accurate IOP determination, with the potential for global use.

Conclusions

The novel, affordable, and accurate remote photonic IOP biomonitoring method for glaucoma diagnosis, tested on pig eyes, shows promising results. Leveraging deep learning and speckle pattern analysis, together with the development of a prototype for human eyes testing, could enhance diagnosis and management, particularly in resource-constrained settings worldwide.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Zeev Kalyuzhner, Sergey Agdarov, Yevgeny Beiderman, Aviya Bennet, Yafim Beiderman, and Zeev Zalevsky "Remote and low-cost intraocular pressure monitoring by deep learning of speckle patterns," Journal of Biomedical Optics 29(3), 037003 (29 March 2024). https://doi.org/10.1117/1.JBO.29.3.037003
Received: 15 July 2023; Accepted: 28 February 2024; Published: 29 March 2024
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KEYWORDS
Mercury
Eye
Data modeling
Speckle pattern
Glaucoma
Education and training
Eye models
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