Evidence map›Paper›PMID 40677806›Full record

ArticleBiomedical optics express2025

Dynamic-OCT simulation framework based on mathematical models of intratissue dynamics, image formation, and measurement noise.

Yuanke Feng, Shumpei Fujimura, Yiheng Lim, Thitiya Seesan, Rion Morishita, Ibrahim Abd El-Sadek, Pradipta Mukherjee, Shuichi Makita, Yoshiaki Yasuno

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  7. Review
  8. Guide to dynamic OCT data analysis.Biomedical optics express · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yuanke FengComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Shumpei FujimuraComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Yiheng LimComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-0777-555X
Thitiya SeesanComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Rion MorishitaComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-5396-0617
Ibrahim Abd El-SadekComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-0674-169X
Pradipta MukherjeeComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-5752-9963
Shuichi MakitaComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-6614-3640
Yoshiaki YasunoComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0003-1645-7948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic optical coherence tomography (DOCT) enables label-free functional imaging by capturing temporal OCT signal variations caused by intracellular and intratissue motions. However, the relationship between DOCT signals and the sample motion behind them remains unclear. This paper presents a comprehensive DOCT simulation framework that incorporates mathematical models of intracellular/intratissue motions, two OCT signal generator types that generate OCT signal time sequences from the moving scatterer models, and representative DOCT algorithms. The theory and algorithms of the framework are described in detail, and the utility of this framework is demonstrated through numerical studies. This framework is available as open source and will enhance the understanding and utility of DOCT.

Identifiers

PMID40677806
PMCPMC12265603

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.