SVM-Based optical detection of retinal ganglion cell apoptosis

Kulmaganbetov, Mukhit ORCID: https://orcid.org/0000-0003-2112-4208, Bevan, Ryan ORCID: https://orcid.org/0000-0002-2557-2887, Want, Andrew, Anantrasirichai, Nantheera, Achim, Alin, Albon, Julie ORCID: https://orcid.org/0000-0002-3029-8245 and Morgan, James ORCID: https://orcid.org/0000-0002-8920-1065 2025. SVM-Based optical detection of retinal ganglion cell apoptosis. Photonics 12 (2) , 128. 10.3390/photonics12020128

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Abstract

Background: Retinal ganglion cell (RGC) loss is crucial in eye diseases like glaucoma. Axon damage and dendritic degeneration precede cell death, detectable within optical coherence tomography (OCT) resolution, indicating their correlation with neuronal degeneration. The purpose of this study is to evaluate the optical changes of early retinal degeneration. Methods: The detection of optical changes in the axotomised retinal explants was completed in six C57BL/6J mice. OCT images were acquired up to 120 min from enucleation. A grey-level co-occurrence-based texture analysis was performed on the inner plexiform layer (IPL) to monitor changes in the optical speckles using a principal component analysis (PCA) and a support vector machine (SVM). In parallel tests, retinal transparency was confirmed by a comparison of the modulation transfer functions (MTFs) at 0 and 120 min. Results: Quantitative confirmation by analysis of the MTFs confirmed the non-degradation of optical transparency during the imaging period: MTF (fx) = 0.267 ± 0.02. Textural features in the IPL could discriminate between the optical signals of RGC degeneration. The mean accuracy of the SVM classification was 86.3%; discrimination was not enhanced by the combination of the SVM and PCA (81.9%). Conclusions: Optical changes in the IPL can be detected using OCT following RGC axotomy. High-resolution OCT can provide an index of retinal neuronal integrity and its degeneration.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Optometry and Vision Sciences
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/, Start Date: 2025-01-31
Publisher:	MDPI
Funders:	MRC
Date of First Compliant Deposit:	21 March 2025
Date of Acceptance:	31 January 2025
Last Modified:	24 Mar 2025 17:20
URI:	https://orca.cardiff.ac.uk/id/eprint/176302

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