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

TL;DR
The paper introduces MASI, a scalable optical imaging system that uses distributed sensors and computational phase synchronization to achieve high-resolution, large-field, 3D imaging without lenses, overcoming traditional optical synchronization challenges.
Contribution
MASI transforms optical aperture synthesis into a computational problem, enabling scalable, lensless high-resolution imaging over large fields with simplified synchronization.
Findings
Resolves sub-micron features at long distances
Generates phase-contrast images larger than sensor size
Reconstructs 3D shapes over centimeter-scale fields
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…
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Taxonomy
TopicsAdaptive optics and wavefront sensing · Digital Holography and Microscopy · Optical Polarization and Ellipsometry
