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CLC number: TN911.73

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2017-09-15

Cited: 1

Clicked: 7045

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Hong-wei Chen

http://orcid.org/0000-0002-2952-2203

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.9 P.1261-1267

http://doi.org/10.1631/FITEE.1601719


Principles and applications of high-speed single-pixel imaging technology


Author(s):  Qiang Guo, Yu-xi Wang, Hong-wei Chen, Ming-hua Chen, Si-gang Yang, Shi-zhong Xie

Affiliation(s):  Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Corresponding email(s):   q-guo13@mails.tsinghua.edu.cn, auvr123@163.com, chenhw@mail.tsinghua.edu.cn, chenmh@tsinghua.edu.cn, ysg@tsinghua.edu.cn, xsz-dee@mail.tsinghua.edu.cn

Key Words:  Compressive sampling, Single-pixel imaging, Photonic time stretch, Imaging flow cytometry


Qiang Guo, Yu-xi Wang, Hong-wei Chen, Ming-hua Chen, Si-gang Yang, Shi-zhong Xie. Principles and applications of high-speed single-pixel imaging technology[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1261-1267.

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Abstract: 
single-pixel imaging (SPI) technology has garnered great interest within the last decade because of its ability to record high-resolution images using a single-pixel detector. It has been applied to diverse fields, such as magnetic resonance imaging (MRI), aerospace remote sensing, terahertz photography, and hyperspectral imaging. Compared with conventional silicon-based cameras, single-pixel cameras (SPCs) can achieve image compression and operate over a much broader spectral range. However, the imaging speed of SPCs is governed by the response time of digital micromirror devices (DMDs) and the amount of compression of acquired images, leading to low (ms-level) temporal resolution. Consequently, it is particularly challenging for SPCs to investigate fast dynamic phenomena, which is required commonly in microscopy. Recently, a unique approach based on photonic time stretch (PTS) to achieve high-speed SPI has been reported. It achieves a frame rate far beyond that can be reached with conventional SPCs. In this paper, we first introduce the principles and applications of the PTS technique. Then the basic architecture of the high-speed SPI system is presented, and an imaging flow cytometer with high speed and high throughput is demonstrated experimentally. Finally, the limitations and potential applications of high-speed SPI are discussed.

高速单像素成像技术原理及应用

概要:单像素成像技术具有利用一个单像素探测器获取高分辨图像的能力,近十年来得到广泛关注。该技术已应用于多个领域,如核磁共振成像、航天遥感、太赫兹成像和高光谱成像。与传统相机相比,单像素相机可以实现图像压缩和超宽的频谱工作范围。然而,单像素相机的成像速度受到数字微镜阵列和图像压缩程度限制,导致其时间分辨率较低(毫秒量级)。因此,观察显微成像中的高速动态现象对于单像素相机而言是巨大挑战。最近,基于光子时间拉伸的高速单像素成像技术被提出,其远超普通相机的成像速度也得到验证。本文介绍了光子时间拉伸技术的原理和应用,给出了高速单像素相机的结构,并通过实验证实利用该相机可实现高速和高吞吐量细胞流式分析,最后,讨论了高速单像素相机的局限和应用潜力。

关键词:压缩采样;单像素成像;光子时间拉伸;成像式流式细胞仪

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Reference

[1]Bioucas-Dias, J.M., Figueiredo, M.A.T., 2007. A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration. IEEE Trans. Imag. Process., 16(12): 2992-3004.

[2]Blumensath, T., Davies, M.E., 2009. Iterative hard thresholding for compressed sensing. Appl. Comput. Harmon. Anal., 27(3):265-274.

[3]Bosworth, B.T., Foster, M.A., 2014. High-speed flow imaging utilizing spectral-encoding of ultrafast pulses and compressed sensing. OSA Techn. Dig., Paper ATh4P.3.

[4]Bosworth, B.T., Stroud, J.R., Tran, D.N., et al., 2015. High-speed flow microscopy using compressed sensing with ultrafast laser pulses. Opt. Expr., 23(8): 10521-10532.

[5]Candès, E.J., Wakin, M.B., 2008. An introduction to compressive sampling. IEEE Signal Process. Mag., 25(2): 21-30.

[6]Candès, E.J., Romberg, J., Tao, T., 2006. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inform. Theory, 52(2):489-509.

[7]Chan, A.C.S., Lau, A.K.S., Wong, K.K.Y., et al., 2015. Arbitrary two-dimensional spectrally encoded pattern generation—a new strategy for high-speed patterned illumination imaging. Optica, 2(12):1037-1044.

[8]Chen, C.L.F., Mahjoubfar, A., Jalali, B., 2015. Optical data compression in time stretch imaging. PLOS ONE, 10(4): 0125106.

[9]Donoho, D.L., 2006. Compressed sensing. IEEE Trans. Inform. Theory, 52(4):1289-1306.

[10]Duarte, M.F., Davenport, M.A., Takhar, D., et al., 2008. Single-pixel imaging via compressive sampling. IEEE Signal Process. Mag., 25(2):83-91.

[11]Figueiredo, M.A.T., Nowak, R.D., Wright, S.J., 2007. Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems. IEEE J. Sel. Topics Signal Process., 1(4):586-597.

[12]Goda, K., Jalali, B., 2013. Dispersive Fourier transformation for fast continuous single-shot measurements. Nat. Photon., 7:102-112.

[13]Goda, K., Tsia, K.K., Jalali, B., 2009. Serial time-encoded amplified imaging for real-time observation of fast dynamic phenomena. Nature, 458:1145-1149.

[14]Goda, K., Ayazi, A., Gossett, D.R., et al., 2012. High-throughput single-microparticle imaging flow analyzer. PNAS, 109(29):11630-11635.

[15]Guo, Q., Chen, H.W., Weng, Z.L., et al., 2015. Fast time-lens- based line-scan single-pixel camera with multi-wavelength source. Biomed. Opt. Expr., 6(9):3610-3617.

[16]Lau, A.K., Shum, H.C., Wong, K.K., et al., 2016. Optofluidic time-stretch imaging—an emerging tool for high-throughput imaging flow cytometry. Lab Chip, 16(10): 1743-1756.

[17]Lei, C., Guo, B., Cheng, Z., et al., 2016. Optical time-stretch imaging: principles and applications. Appl. Phys. Rev., 3(1):011102.

[18]Lustig, M., Donoho, D., Pauly, J.M., 2007. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn. Reson. Med., 58(6):1182-1195.

[19]Needell, D., Tropp, J.A., 2009. CoSaMP: iterative signal recovery from incomplete and inaccurate samples. Appl. Comput. Harmon. Anal., 26(3):301-321.

[20]Takhar, D., Laska, J., Wakin, M.B., et al., 2006. A new compressive imaging camera architecture using optical-domain compression. SPIE, 6065:43-52.

[21]Tropp, J.A., Gilbert, A.C., 2007. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inform. Theory, 53(12):4655-4666.

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