Evidence map›Paper›PMID 40093083›Full record

ArticlebioRxiv : the preprint server for biology2025

Effectiveness of Digital Dispersion Compensation in OCT.

Fengquan Liu, Xingde Li

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Fengquan LiuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0009-0001-8269-1903
Xingde LiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0002-4725-3297

Funding

TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh · 2022 to 2026
$6.7M
3D Scanning Two-photon Fiberscope Technology for Simultaneous Multi-region Multi-cell-type Imaging in Freely-moving RodentsR01EB033364 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Xingde Li · 2023 to 2026
$2.5M
NIBIB NIH HHS P41 EB032840NIBIB NIH HHS R01 EB033364
6 · The paper itself

Abstract

Dispersion mismatch in optical coherence tomography (OCT) is typically addressed through either physical or digital compensation. In this study, we investigate the impact of dispersion on OCT detection sensitivity and compare the effectiveness of physical and digital compensation across varying degrees of dispersion mismatch. Our results demonstrate that while digital dispersion compensation can effectively restore detection sensitivity, its efficacy is constrained by the severity of the dispersion mismatch. Beyond a certain threshold, digital compensation fails to fully recover image information, leading to degradation in image quality.

Identifiers

PMID40093083
PMCPMC11908219

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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.