Pixel super-resolution phase retrieval for lensless microscopy

Yunhui Gao; Feng Yang; Liangcai Cao

doi:10.1117/12.2674137

10 August 2023 Pixel super-resolution phase retrieval for lensless microscopy

Yunhui Gao, Feng Yang, Liangcai Cao

Proceedings Volume 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III; 126210T (2023) https://doi.org/10.1117/12.2674137
Event: SPIE Optical Metrology, 2023, Munich, Germany

Abstract

Lensless microscopy is an emerging imaging modality that overcomes the inherent limitation of conventional lens-based optics, especially in terms of imaging throughput, functionality, and cost-effectiveness. Pixel super-resolution phase retrieval serves as the key underlying technique for reconstructing high-resolution holographic images from the raw measurements. In this talk, we revisit lensless microscopy from a computational imaging perspective. A unified mathematical framework is established and the encoding and decoding mechanisms of the phase and subpixel information are analyzed. Regularization and Nesterov’s momentum techniques are introduced to speed up the data acquisition and reconstruction procedures, respectively. The proposed algorithms are verified through a proof-of-concept lensless on-chip microscope. We experimentally demonstrate the capability of pixel super-resolution phase retrieval techniques in revealing the subpixel and quantitative phase information of complex biological samples.

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Citation Download Citation

Yunhui Gao, Feng Yang, and Liangcai Cao "Pixel super-resolution phase retrieval for lensless microscopy", Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 126210T (10 August 2023); https://doi.org/10.1117/12.2674137

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KEYWORDS

Super resolution

Microscopy

Phase retrieval

Digital holography

Digital imaging

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