Evidence map›Paper›PMID 41532111›Full record

ArticleBiomedical optics express2026

Dynamic optical coherence tomography algorithm for label-free assessment of swiftness and occupancy of intratissue moving scatterers.

Rion Morishita, Pradipta Mukherjee, Ibrahim Abd El-Sadek, Tanatchaya Seesan, Tomoko Mori, Atsuko Furukawa, Shinichi Fukuda, Donny Lukmanto, Satoshi Matsusaka, Shuichi Makita and 1 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Guide to dynamic OCT data analysis.Biomedical optics express · 2025
    Article
  8. Article
  9. 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

11 authors.

Rion MorishitaComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-5396-0617
Pradipta MukherjeeComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-5752-9963
Ibrahim Abd El-SadekComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0002-0674-169X
Tanatchaya SeesanComputational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tomoko MoriClinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Atsuko FurukawaClinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Shinichi FukudaLaboratory of Advanced Vision Science, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Donny LukmantoLaboratory of Advanced Vision Science, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Satoshi MatsusakaClinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
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) statistically analyzes fluctuations in time-sequential OCT signals, enabling label-free and three-dimensional visualization of intratissue and intracellular activities. Current DOCT methods, such as logarithmic intensity variance (LIV) and OCT correlation decay speed (OCDS), have several limitations. Namely, the DOCT values and intratissue motions are not directly related, and hence DOCT values are not interpretable in the context of the tissue motility. We introduce an open-source DOCT algorithm that provides a more direct interpretation of DOCT in the context of dynamic scatterer ratio and scatterer speed in the tissue. The detailed properties of the new and conventional DOCT methods are investigated by numerical simulations based on our open-source DOCT simulation framework, and the experimental validation with

Identifiers

PMID41532111
PMCPMC12795443

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.