Evidence map›Paper›PMID 39019852›Full record

ArticleLight, science & applications2024

Ptycho-endoscopy on a lensless ultrathin fiber bundle tip.

Pengming Song, Ruihai Wang, Lars Loetgering, Jia Liu, Peter Vouras, Yujin Lee, Shaowei Jiang, Bin Feng, Andrew Maiden, Changhuei Yang and 1 more

Abstract read
In one paragraph

Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Multiscale aperture synthesis imager.Nature communications · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Ptychography at all wavelengths.Nature reviews. Methods primers · 2025
    Article
  10. 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

11 authors.

Pengming Song *Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA. pengming.song@uconn.edu.
Ruihai Wang *Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Lars LoetgeringCarlZeiss AG, Carl Zeiss Promenade, Jena, Thuringia, 07745, Germany.
Jia LiuDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Peter VourasUnited States Department of Defense, Washington, DC, 20301, USA.
Yujin LeeSchool of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Shaowei JiangDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Bin FengDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Andrew MaidenDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield, South Yorkshire S1 3JD, UK.ORCID http://orcid.org/0000-0002-8192-8235
Changhuei YangDepartment of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID http://orcid.org/0000-0001-8791-0354
Guoan ZhengDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA. guoan.zheng@uconn.edu.ORCID http://orcid.org/0000-0002-4268-2690

Funding

Determining the topology and molecular profiles of nociceptive DRG neurons innervating distal colon and rectumU01NS113873 · NINDS · UNIVERSITY OF CONNECTICUT STORRS · PI FENG, BIN · 2019 to 2021
$2.0M
The Role of Lumbar Splanchnic Innervations in Visceral Nociception and PainR01DK120824 · NIDDK · UNIVERSITY OF CONNECTICUT STORRS · PI FENG, BIN · 2019 to 2023
$2.0M
Label-free digital cytopathology using deep-ultraviolet coded ptychography with intrinsic molecular contrastR01EB034744 · NIBIB · UNIVERSITY OF CONNECTICUT STORRS · PI Guoan Zheng · 2023 to 2026
$1.4M
NIBIB NIH HHS R01 EB034744NIDDK NIH HHS R01 DK120824NINDS NIH HHS U01 NS113873NSF | Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences (DMS) 2012140U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01-EB034744
6 · The paper itself

Abstract

Synthetic aperture radar (SAR) utilizes an aircraft-carried antenna to emit electromagnetic pulses and detect the returning echoes. As the aircraft travels across a designated area, it synthesizes a large virtual aperture to improve image resolution. Inspired by SAR, we introduce synthetic aperture ptycho-endoscopy (SAPE) for micro-endoscopic imaging beyond the diffraction limit. SAPE operates by hand-holding a lensless fiber bundle tip to record coherent diffraction patterns from specimens. The fiber cores at the distal tip modulate the diffracted wavefield within a confined area, emulating the role of the 'airborne antenna' in SAR. The handheld operation introduces positional shifts to the tip, analogous to the aircraft's movement. These shifts facilitate the acquisition of a ptychogram and synthesize a large virtual aperture extending beyond the bundle's physical limit. We mitigate the influences of hand motion and fiber bending through a low-rank spatiotemporal decomposition of the bundle's modulation profile. Our tests demonstrate the ability to resolve a 548-nm linewidth on a resolution target. The achieved space-bandwidth product is ~1.1 million effective pixels, representing a 36-fold increase compared to that of the original fiber bundle. Furthermore, SAPE's refocusing capability enables imaging over an extended depth of field exceeding 2 cm. The aperture synthesizing process in SAPE surpasses the diffraction limit set by the probe's maximum collection angle, opening new opportunities for both fiber-based and distal-chip endoscopy in applications such as medical diagnostics and industrial inspection.

Identifiers

PMID39019852
PMCPMC11255264

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.