Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 18 min ago
PreprintCC BY-SA 4.0arXiv

Numerical speckle reduction for optical coherence tomography based on an analytical image formation model

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.

Related

  1. Spatial coherence governs the resolution–signal trade-off and aberration tolerance in full-field optical coherence tomography
    Inès Loukili, Arthur Sureau, Laurent Mugnier +4
    Optics ExpressPeer-reviewedLicence not statedOptics & photonicsCrossref
  2. Two-dimensional structures formed by pair potentials: An analytical and numerical study
    Shota Ono
    arXivPreprintCC BY 4.0Full textCondensed matterarXiv
  3. Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory: Analytical Foundations and Numerical Scaling Tests
    Gert Aarts, Diaa E. Habibi, Andreas Ipp +5
    arXivPreprintCC BY 4.0Full textHigh-energy & particle physicsarXiv
  4. Spatially or temporally resolved phase-based optoretinography with actively-tracked point-scanning optical coherence tomography
    Léo Puyo, Jonas Franke, Felix Zeisberger +2
    arXivPreprintarXiv licenceFull textBiological & medical physicsOptics & photonicsarXiv
  5. Breaking Behavioral Uniformity in Traffic Flow: Analytical Derivation and Numerical Verification of Optimal Cooperative Buffering
    Raphael Korbmacher, Antoine Tordeux
    arXivPreprintarXiv licenceFull textStatistical & nonlinear physicsarXiv
BibTeX
@misc{wang2026numerical,
  title = {{Numerical speckle reduction for optical coherence tomography based on an analytical image formation model}},
  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},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2605.13443},
  eprint = {2605.13443},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.13443},
  note = {CC BY-SA 4.0},
}
RIS
TY  - UNPB
TI  - Numerical speckle reduction for optical coherence tomography based on an analytical image formation model
AU  - Xibo Wang
AU  - Shuichi Makita
AU  - Nobuhisa Tateno
AU  - Suzuyo Komeda
AU  - Cunyou Bao
AU  - Atsuko Furukawa
AU  - Satoshi Matsusaka
AU  - Makoto Kobayashi
AU  - Yoshiaki Yasuno
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2605.13443
UR  - https://arxiv.org/abs/2605.13443
AB  - 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.
ER  -