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Proceedings Paper

Ultra-fast quantitative imaging using ptychographic iterative engine based digital micro-mirror device
Author(s): Aihui Sun; Xiaolin Tian; Yan Kong; Zhilong Jiang; Fei Liu; Liang Xue; Shouyu Wang; Cheng Liu
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Paper Abstract

As a lensfree imaging technique, ptychographic iterative engine (PIE) method can provide both quantitative sample amplitude and phase distributions avoiding aberration. However, it requires field of view (FoV) scanning often relying on mechanical translation, which not only slows down measuring speed, but also introduces mechanical errors decreasing both resolution and accuracy in retrieved information. In order to achieve high-accurate quantitative imaging with fast speed, digital micromirror device (DMD) is adopted in PIE for large FoV scanning controlled by on/off state coding by DMD. Measurements were implemented using biological samples as well as USAF resolution target, proving high resolution in quantitative imaging using the proposed system. Considering its fast and accurate imaging capability, it is believed the DMD based PIE technique provides a potential solution for medical observation and measurements.

Paper Details

Date Published: 12 January 2018
PDF: 6 pages
Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106200A (12 January 2018); doi: 10.1117/12.2292035
Show Author Affiliations
Aihui Sun, Jiangnan Univ. (China)
Xiaolin Tian, Qingdao Research Ctr. for Advanced Photonic Technologies Laser Institute (China)
Yan Kong, Jiangnan Univ. (China)
Zhilong Jiang, Jiangnan Univ. (China)
Fei Liu, Nanjing Agricultural Univ. (China)
Liang Xue, Shanghai Univ. of Electric Power (China)
Shouyu Wang, Jiangnan Univ. (China)
Nanjing Agricultural Univ. (China)
Cheng Liu, Jiangnan Univ. (China)
Shanghai Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 10620:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten; Liquan Dong, Editor(s)

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