Numerical speckle reduction for optical coherence tomography based on an analytical image formation model
Year: 2026
Type: preprint
Abstract: Speckle is an intrinsic granular pattern that limits the effective resolution of optical coherence tomography (OCT). We propose a numerical speckle reduction method using the "real part of a shifted complex conjugate product" (real-SCCP), which is a new image representation designed based on an analytical imaging model of OCT. In the real-SCCP image representation, the speckle can be fully numerically modulated after OCT signal acquisition. By averaging multiple SCCP images with different speckle realizations, the speckle is effectively reduced. Furthermore, this method enables clear visualization of structures in tumor spheroids and zebrafish eyes, and significantly outperforms conventional frame-averaging-based speckle reduction techniques.
Source: arXiv (Cornell University)
Institution: University of Tsukuba
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: Digital aberration correction for in vivo 3D biological high-resolution OCT imaging, 生体・培養試料の活動特異的イメージングのためのラベルフリー三次元干渉顕微鏡の開発, Label-free volumetric microscopy for visualizing intracellular motility of tumor cell culture, G4988257885, Time- and space-super-resolution holographic microscope for label-free tissue dyanmics imaging, G6152738442, Holographic optical coherence microscope for high-penetration and label free imaging of intracellular activities
OpenAlex ID: W7161149395