Evidence map›Paper›PMID 41298442›Full record

ArticleNature communications2025

Multiscale aperture synthesis imager.

Ruihai Wang, Qianhao Zhao, Tianbo Wang, Mitchell Modarelli, Peter Vouras, Zikun Ma, Zhixuan Hong, Kazunori Hoshino, David Brady, Guoan Zheng

Abstract read
In one paragraph

Article in Nature communications, 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. 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

10 authors.

Ruihai Wang *Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0009-0001-1780-4983
Qianhao Zhao *Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA. qianhao.zhao@uconn.edu.ORCID http://orcid.org/0009-0003-6899-5630
Tianbo WangDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Mitchell ModarelliDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Peter VourasUnited States Department of Defence, Washington, DC, USA.ORCID http://orcid.org/0000-0002-1654-3080
Zikun MaDepartment of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.
Zhixuan HongDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Kazunori HoshinoDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0002-7080-7825
David BradyWyant College of Optical Sciences, University of Arizona, Tucson, AZ, USA. djbrady@arizona.edu.ORCID http://orcid.org/0000-0001-5655-2478
Guoan ZhengDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA. guoan.zheng@uconn.edu.ORCID http://orcid.org/0000-0002-4268-2690

Funding

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 EB034744NSF | Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences (DMS) 2012140U.S. Department of Energy (DOE) SC0025582U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01-EB034744
6 · The paper itself

Abstract

Synthetic aperture imaging has enabled breakthrough observations from radar to astronomy. However, optical implementation remains challenging due to stringent wavefield synchronization requirements among multiple receivers. Here we present the multiscale aperture synthesis imager (MASI), which utilizes parallelism to break complex optical challenges into tractable sub-problems. MASI employs a distributed array of coded sensors that operate independently yet coherently to surpass the diffraction limit of single receiver. It combines the propagated wavefields from individual sensors through a computational phase synchronization scheme, eliminating the need for overlapping measurement regions to establish phase coherence. Light diffraction in MASI naturally expands the imaging field, generating phase-contrast visualizations that are substantially larger than sensor dimensions. Without using lenses, MASI resolves sub-micron features at ultralong working distances and reconstructs 3D shapes over centimeter-scale fields. MASI transforms the intractable optical synchronization problem into a computational one, enabling practical deployment of scalable synthetic aperture systems at optical wavelengths.

Identifiers

PMID41298442
PMCPMC12658078

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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.