Evidence map›Paper›PMID 41391882›Full record

ArticleJournal of biophotonics2025

A Martinez Jimenez, R Cernat, A Bradu, R Riha, E A Proano Grijalva, B O Meyer, T Ansbaek, K Yvind, A Podoleanu

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biophotonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Journal of biophotonics · 2025
    Article
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.

A Martinez JimenezApplied Optics Group, School of Physical Sciences, University of Kent, Canterbury, UK.ORCID 0000-0001-5370-7817
R CernatApplied Optics Group, School of Physical Sciences, University of Kent, Canterbury, UK.
A BraduApplied Optics Group, School of Physical Sciences, University of Kent, Canterbury, UK.
R RihaApplied Optics Group, School of Physical Sciences, University of Kent, Canterbury, UK.
E A Proano GrijalvaDTU Electro, Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
B O MeyerOCTLIGHT ApS, Kgs. Lyngby, Denmark.
T AnsbaekOCTLIGHT ApS, Kgs. Lyngby, Denmark.
K YvindDTU Electro, Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.
A PodoleanuApplied Optics Group, School of Physical Sciences, University of Kent, Canterbury, UK.

Funding

Biotechnology and Biological Sciences Research CouncilEngineering and Physical Sciences Research CouncilEuropean CommissionNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of OphthalmologyRoyal SocietyWellcome Trust
6 · The paper itself

Abstract

This paper explores the challenges of signal processing when using optical coherence tomography (OCT) imaging instruments driven by asymmetric MHz bidirectional sweeping lasers. A downconversion master-slave (DMS) method is proposed as a viable alternative to the traditional OCT protocol. Unlike conventional swept source OCT, which requires a separate calibration for each sweep, the DMS approach does not require calibration of the acquired channeled spectra; its operation is independent of the tuning direction. We demonstrate the practicality of the DMS method with en-face OCT images obtained with an OCT instrument equipped with a fast bidirectional swept laser (tuning speed 1.6 MHz) and a slow acquisition card of only 2.5 MS/s sampling rate.

Indexed as

LasersTomography, Optical CoherencebidirectionalOCTswept‐source

Identifiers

PMID41391882
PMCPMC12702638

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.