Grad Seminar: Towards a general computational framework for cellular-resolution enhanced reconstruction of anterior human eye imagery from defocused and noisy optical coherence tomography data

Abstract

Achieving full-volume cellular-resolution imaging of the eye with optical coherence tomography (OCT) is constrained by aberrations that limit the depth range over which sufficient lateral resolution and signal-to-noise ratio (SNR) can be maintained. This research proposal aims to address this issue through innovative computational methods. Such advancement holds the potential to provide researchers and clinicians with a novel tool for studying ocular pathologies in their early stages.

Presenter

Nima Abbasi Firoozjah, PhD candidate in Systems Design Engineering

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Attending this seminar will count towards the graduate student seminar attendance milestone!