Datasets from "Imaging of retinal ganglion cells and photoreceptors using Spatio-Temporal Optical Coherence Tomography (STOC-T) without hardware-based adaptive optics"

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Authors: Marta Mikuła-Zdańkowska, Dawid Borycki, Piotr Franciszek Wegrzyn, Karolis Adomavičius, Egidijus Auksorius, Maciej Wojtkowski
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Abstract

This dataset accompanies the study demonstrating an experimental Spatio-Temporal Optical Coherence Tomography (STOC-T) system featuring optimized illumination and an increased lateral resolution of approximately 3 μm. The integration of high-speed phase randomization with numerical magnitude averaging enables a significant improvement in the signal-to-noise ratio (SNR). The datasets contain calculations for selected ND filters and calculated SNR in four configurations:with 2D FFT filtering,without filtering,with 2D FFT filtering combined with an active deformable membrane,without 2D FFT filtering and without the membranefor reflective and scattering objects.

Fields of Study & Subjects

Optical Coherence Tomography Applications Adaptive optics and wavefront sensing Retinal Imaging and Analysis

Publication details

Journal / source
RepOD
Publication date
1 January 2026
Language
EN
Document type
Dataset