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Multiscale aperture synthesis imager.

Publication ,  Journal Article
Wang, R; Zhao, Q; Wang, T; Modarelli, M; Vouras, P; Ma, Z; Hong, Z; Hoshino, K; Brady, D; Zheng, G
Published in: Nature communications
November 2025

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.

Duke Scholars

Published In

Nature communications

DOI

EISSN

2041-1723

ISSN

2041-1723

Publication Date

November 2025

Volume

16

Issue

1

Start / End Page

10582
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wang, R., Zhao, Q., Wang, T., Modarelli, M., Vouras, P., Ma, Z., … Zheng, G. (2025). Multiscale aperture synthesis imager. Nature Communications, 16(1), 10582. https://doi.org/10.1038/s41467-025-65661-8
Wang, Ruihai, Qianhao Zhao, Tianbo Wang, Mitchell Modarelli, Peter Vouras, Zikun Ma, Zhixuan Hong, Kazunori Hoshino, David Brady, and Guoan Zheng. “Multiscale aperture synthesis imager.Nature Communications 16, no. 1 (November 2025): 10582. https://doi.org/10.1038/s41467-025-65661-8.
Wang R, Zhao Q, Wang T, Modarelli M, Vouras P, Ma Z, et al. Multiscale aperture synthesis imager. Nature communications. 2025 Nov;16(1):10582.
Wang, Ruihai, et al. “Multiscale aperture synthesis imager.Nature Communications, vol. 16, no. 1, Nov. 2025, p. 10582. Epmc, doi:10.1038/s41467-025-65661-8.
Wang R, Zhao Q, Wang T, Modarelli M, Vouras P, Ma Z, Hong Z, Hoshino K, Brady D, Zheng G. Multiscale aperture synthesis imager. Nature communications. 2025 Nov;16(1):10582.

Published In

Nature communications

DOI

EISSN

2041-1723

ISSN

2041-1723

Publication Date

November 2025

Volume

16

Issue

1

Start / End Page

10582