Ultra-fast quantitative imaging using ptychographic iterative engine based digital micro-mirror device

Aihui Sun; Xiaolin Tian; Yan Kong; Zhilong Jiang; Fei Liu; Liang Xue; Shouyu Wang; Cheng Liu

doi:10.1117/12.2292035

12 January 2018 Ultra-fast quantitative imaging using ptychographic iterative engine based digital micro-mirror device

Aihui Sun, Xiaolin Tian, Yan Kong, Zhilong Jiang, Fei Liu, Liang Xue, Shouyu Wang, Cheng Liu

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 106200A (2018) https://doi.org/10.1117/12.2292035
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

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.

Citation Download Citation

Aihui Sun, Xiaolin Tian, Yan Kong, Zhilong Jiang, Fei Liu, Liang Xue, Shouyu Wang, and Cheng Liu "Ultra-fast quantitative imaging using ptychographic iterative engine based digital micro-mirror device ", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106200A (12 January 2018); https://doi.org/10.1117/12.2292035

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