Literature DB >> 30650700

Micro-tomography via single-pixel imaging.

Junzheng Peng, Manhong Yao, Jiajian Cheng, Zibang Zhang, Shiping Li, Guoan Zheng, Jingang Zhong.   

Abstract

Tomographic imaging allows for the cross-sectional imaging of specimen, whereas single-pixel imaging can produce image only with a spatial non-resolved detector. Here we propose a compact tomographic imaging system combining single-pixel imaging. This approach uses a digital micromirror device (DMD) to encode the spatial information of specimen and employs an array of single-pixel detectors to record the light signals from different directions. For each single-pixel detector, we can retrieve an image of the specimen from a unique perspective angle. Based on the retrieved images, we can realize tomographic imaging, such as intensity images refocusing and three-dimensional (3D) differential-phase-contrast imaging, without mechanically scanning the specimen. Experimental results also demonstrate that the micro-tomographic images with 384×384 pixels can be simultaneously realized only with an array of 5×6 single-pixel detectors. Furthermore, due to the broad operational spectrum of the single-pixel detector, the proposed method is a good candidate to realize tomographic imaging with the non-visible light wavebands, such as terahertz and x-ray, thus it would open up opportunities in many life science and engineering fields.

Entities:  

Year:  2018        PMID: 30650700     DOI: 10.1364/OE.26.031094

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Improving Imaging Quality of Real-time Fourier Single-pixel Imaging via Deep Learning.

Authors:  Saad Rizvi; Jie Cao; Kaiyu Zhang; Qun Hao
Journal:  Sensors (Basel)       Date:  2019-09-27       Impact factor: 3.576

  1 in total

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