Evidence map›Paper›PMID 40006244›Full record

ArticleSensors (Basel, Switzerland)2025

Curved Fabry-Pérot Ultrasound Detectors: Optical and Mechanical Analysis.

Barbara Rossi, Maria Alessandra Cutolo, Martino Giaquinto, Andrea Cusano, Giovanni Breglio

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Barbara RossiDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80138 Napoli, Italy.ORCID 0009-0008-7720-4649
Maria Alessandra CutoloOptoelectronic Division, Engineering Department, University of Sannio, 82100 Benevento, Italy.ORCID 0000-0002-0004-8683
Martino GiaquintoDepartment of Information Engineering, Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, Italy.ORCID 0000-0001-5010-3604
Andrea CusanoOptoelectronic Division, Engineering Department, University of Sannio, 82100 Benevento, Italy.ORCID 0000-0002-9297-6339
Giovanni BreglioDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80138 Napoli, Italy.ORCID 0000-0002-9350-5483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical fiber-based acoustic detectors for ultrasound imaging in medical field feature plano-concave Fabry-Perot cavities integrated on fiber tips, realized via dip-coating. This technique imposes constraints on sensor geometry, potentially limiting performance. Lab-on-Fiber technology enables complex three-dimensional structures with precise control over geometric parameters, such as the curvature radius. A careful investigation of the optical and mechanical aspects involved in the sensors' performances is crucial for determining the design rules of such probes. In this study, we numerically analyzed the impact of curvature on the optical and acoustic properties of a plano-concave cavity using the Finite Element Method. Performance metrics, including sensitivity, bandwidth, and directivity, were compared to planar Fabry-Perot configurations. The results suggest that introducing curvature significantly enhances sensitivity by improving light confinement, especially for cavity thicknesses exceeding half the Rayleigh zone (∼45 μm), reaching an enhancement of 2.5 a

Indexed as

Fabry–Perot interferometerfiber opticfiber optics sensorslab-on-fiber technologyoptoacoustic detectorpolymeric micro-structure

Identifiers

PMID40006244
PMCPMC11859234

What OpenQuestion holds

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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.