Evidence map›Paper›PMID 42120399›Full record

ArticleNature communications2026

Resonant microtaper leaky-mode computational spectropolarimetry with tens of femtometers spectral resolution and full Stokes measurement.

Yangyang Wan, Qianyu Zhou, Lin Ma, Xinyu Fan, Zuyuan He

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

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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. 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.

Yangyang Wan *State Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai, 200240, China. YangyangWan@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-7780-4937
Qianyu Zhou *State Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai, 200240, China.
Lin MaState Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xinyu FanState Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai, 200240, China. fan.xinyu@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-6637-5444
Zuyuan HeState Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai, 200240, China.ORCID http://orcid.org/0000-0002-7499-834X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62275151National Natural Science Foundation of China (National Science Foundation of China) 62405178National Natural Science Foundation of China (National Science Foundation of China) 62435004National Natural Science Foundation of China (National Science Foundation of China) U25B2062
6 · The paper itself

Abstract

Emerging computational measurement techniques for acquiring multi-dimensional optical field information, such as spectrum and polarization, are rapidly advancing and offer promising solutions for realizing high-performance miniature systems. The performance of these computational measurement approaches is critically influenced by the choice of random media, yet a general framework for evaluating different implementations remains absent. Here, we propose a general analytical model for computational measurement systems and reveal that the system resolution is fundamentally determined by the maximum optical path difference (OPD) permitted within the random medium. Building on this theoretical foundation, we present a resonant leaky-mode (RLM) spectropolarimeter that achieves a record high resolution-footprint-product metric. The RLM spectropolarimeter leverages the complex coupling between leaky modes in a tapered coreless optical fiber and whispering-gallery modes of microsphere to significantly enhance the maximum OPD within a compact footprint. We simultaneously achieve an ultrahigh spectral resolution of 20 fm, a spectral measurement bandwidth of 150 nm, and full-Stokes polarization measurement with a mean squared error of 4.732 × 10

Identifiers

PMID42120399
PMCPMC13376616

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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.