Speckle is an intrinsic pattern in optical coherence tomography (OCT) that obscures fine image features and degrades effective resolution. In this study, we propose a numerical speckle reduction method based on the dispersed scatterer model and the imaging formulation of OCT. Utilizing the shifted-complex-conjugate-product, the proposed method digitally modulates speckle patterns by shifting the complex en face OCT signal and averaging the resulting real-part images. This approach allows for effective speckle suppression using a single volumetric acquisition without additional hardware modifications. OCT point spread function phantom measurement demonstrated lateral resolution preservation of the proposed method. We validated the method using a custom-built full-field swept-source OCT system on human breast adenocarcinoma spheroids and a zebrafish eye. Quantitative evaluations using the contrast-to-noise ratio and equivalent number of looks demonstrated that the proposed method significantly outperforms conventional frame-averaging techniques. The speckle-reduced images revealed microstructures previously obscured by speckle, such as necrotic regions in spheroids, while preserving the original image sharpness and resolution.
@article{arxiv.2605.13443,
title = {Imaging-formulation-based numerical speckle reduction for optical coherence tomography},
author = {Xibo Wang and Shuichi Makita and Nobuhisa Tateno and Suzuyo Komeda and Cunyou Bao and Atsuko Furukawa and Satoshi Matsusaka and Makoto Kobayashi and Yoshiaki Yasuno},
journal= {arXiv preprint arXiv:2605.13443},
year = {2026}
}