Evidence map›Paper›PMID 42572032›Full record

ArticleLight, science & applications2026

Single-fiber three-dimensional shape sensing via femtosecond laser inscribed orthogonal eccentric scatterers.

Pengtao Luo, Fengyi Chen, Tuan Guo, Xueguang Qiao, Ruohui Wang

Abstract read
In one paragraph

Article in Light, science & applications, 2026. 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

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.

Pengtao LuoXi'an Key Laboratory of Optical Fiber Sensing Technology for Underground Resources, School of Physics, Northwest University, Xi'an, China.ORCID http://orcid.org/0000-0001-8391-8711
Fengyi ChenXi'an Key Laboratory of Optical Fiber Sensing Technology for Underground Resources, School of Physics, Northwest University, Xi'an, China. chenfy@nwu.edu.cn.
Tuan GuoInstitute of Photonics Technology, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, China.ORCID http://orcid.org/0000-0001-6189-1335
Xueguang QiaoXi'an Key Laboratory of Optical Fiber Sensing Technology for Underground Resources, School of Physics, Northwest University, Xi'an, China.
Ruohui WangXi'an Key Laboratory of Optical Fiber Sensing Technology for Underground Resources, School of Physics, Northwest University, Xi'an, China. rwang@nwu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61927812National Natural Science Foundation of China (National Science Foundation of China) 62075181National Natural Science Foundation of China (National Science Foundation of China) 62305269
6 · The paper itself

Abstract

Optical fiber sensors have emerged as a powerful platform for high-precision shape detection in soft robotics and minimally invasive medical devices. However, existing fiber-sensing architectures face a long-standing trade-off between device size and spatial resolution. This work reports a miniaturized three-dimensional shape-sensing system based on misplaced orthogonal eccentric scatterers (MOESs) densely inscribed into the cladding of a standard single-mode fiber. The MOESs array is fabricated through a scalable reel-to-reel femtosecond laser writing process. Each MOES element functions as a curvature-dependent Rayleigh scatterer, and their misplaced orthogonal arrangement spatially encodes full 3D deformation information within a single fiber core. Experimental results demonstrate high-fidelity 2D bending and full 3D deformation reconstruction. The intensity-domain reconstruction algorithm further exhibits strong immunity to environmental perturbations. This approach defines a new paradigm for compact, cost-effective, and high-fidelity fiber sensors, paving the way for applications in unstructured and dynamic environments.

Identifiers

PMID42572032
PMCPMC13454164

What OpenQuestion holds

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LicenceCC BY
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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.