High-Speed Compressive Microscopy of Flowing Cells Using Sinusoidal Illumination Patterns

Qiang Guo; Hongwei Chen; Yuxi Wang; Yong Guo; Peng Liu; Xiurui Zhu; Zhen Cheng; Zhenming Yu; Sigang Yang; Minghua Chen; Shizhong Xie

doi:10.1109/JPHOT.2016.2644869

IEEE Photonics Journal (Jan 2017)

High-Speed Compressive Microscopy of Flowing Cells Using Sinusoidal Illumination Patterns

Qiang Guo,
Hongwei Chen,
Yuxi Wang,
Yong Guo,
Peng Liu,
Xiurui Zhu,
Zhen Cheng,
Zhenming Yu,
Sigang Yang,
Minghua Chen,
Shizhong Xie

Affiliations

Qiang Guo: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Hongwei Chen: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Yuxi Wang: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Yong Guo: Department of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing, China
Peng Liu: Department of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing, China
Xiurui Zhu: Department of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing, China
Zhen Cheng: Department of Biomedical Engineering, School of Medicine, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Tsinghua University, Beijing, China
Zhenming Yu: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Sigang Yang: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Minghua Chen: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Shizhong Xie: Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China

DOI: https://doi.org/10.1109/JPHOT.2016.2644869
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 11

Abstract

Read online

Single-pixel imaging (SPI) exploits the sparsity structure of natural images and enables image acquisition with far fewer measurements than the number of pixels. However, current SPI devices suffer from low imaging speed and an extremely time-consuming image reconstruction operation. Photonic time-stretch (PTS) technique is demonstrated to enable high-speed structured-illumination pattern generation, which significantly accelerates the imaging speed of conventional SPI devices. Meanwhile, to achieve fast image reconstruction, phase-shifted sinusoidal illumination patterns are used to acquire the Fourier spectrum of images and then a simple inverse fast Fourier transform (IFFT) operation is required for image reconstruction, which is quite computationally efficient. This paper presents a high-speed real-time compressive imaging system and its applications to imaging flow cytometry. Not only is a 625-kHz frame rate demonstrated, which is three orders of magnitude higher than that of a conventional SPI device, but the reconstruction process is remarkably accelerated as well, which enables our prototype system to operate in real time.

Published in IEEE Photonics Journal

ISSN: 1943-0655 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics; Science: Physics: Optics. Light
Website: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4563994

About the journal

Abstract

Keywords