Imaging biological tissue with high-throughput single-pixel compressive holography

Daixuan Wu, Jiawei Luo, Guoqiang Huang, Yuanhua Feng, Xiaohua Feng, Runsen Zhang, Yuecheng Shen () and Zhaohui Li ()
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Daixuan Wu: Sun Yat-sen University
Jiawei Luo: Sun Yat-sen University
Guoqiang Huang: Sun Yat-sen University
Yuanhua Feng: Jinan University
Xiaohua Feng: University of California
Runsen Zhang: Sun Yat-sen University
Yuecheng Shen: Sun Yat-sen University
Zhaohui Li: Sun Yat-sen University

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: Abstract Single-pixel holography (SPH) is capable of generating holographic images with rich spatial information by employing only a single-pixel detector. Thanks to the relatively low dark-noise production, high sensitivity, large bandwidth, and cheap price of single-pixel detectors in comparison to pixel-array detectors, SPH is becoming an attractive imaging modality at wavelengths where pixel-array detectors are not available or prohibitively expensive. In this work, we develop a high-throughput single-pixel compressive holography with a space-bandwidth-time product (SBP-T) of 41,667 pixels/s, realized by enabling phase stepping naturally in time and abandoning the need for phase-encoded illumination. This holographic system is scalable to provide either a large field of view (~83 mm2) or a high resolution (5.80 μm × 4.31 μm). In particular, high-resolution holographic images of biological tissues are presented, exhibiting rich contrast in both amplitude and phase. This work is an important step towards multi-spectrum imaging using a single-pixel detector in biophotonics.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24990-0

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DOI: 10.1038/s41467-021-24990-0

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