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Pixel-resolution and image quality improvement in lensfree holographic microscopy using adaptive relaxation and positional error correction
Author(s): Jialin Zhang; Qian Chen; Jiasong Sun; Jiaji Li; Chao Zuo
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Paper Abstract

In this work, a new computational microscopy approach, named adaptive pixel-super-resolved lens-free imaging is proposed to overcome, or partially alleviate the above-mentioned limitations. The pixel aliasing problem is addressed based on Z-scanning only, without resorting to sub-pixel shifting or beam-angle manipulation. Furthermore, an adaptive relaxation factor strategy and the automatic lateral positional error correction are firstly integrated to improve the robustness of the reconstruction. Based on the proposed approach, we reconstruct the full FOV image of a USAF resolution target across a wide imaging area of ∼29.85 mm2 and achieve a half-pitch lateral resolution of 770 nm at a wavelength of 660 nm, surpassing more than two times of the theoretical Nyquist-Shannon sampling resolution imposed by the sensor pixel size (1.67 μm).

Paper Details

Date Published: 24 October 2017
PDF: 5 pages
Proc. SPIE 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing, 104580T (24 October 2017); doi: 10.1117/12.2284118
Show Author Affiliations
Jialin Zhang, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Jiasong Sun, Nanjing Univ. of Science and Technology (China)
Jiaji Li, Nanjing Univ. of Science and Technology (China)
Chao Zuo, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10458:
AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing
Wolfgang Osten; Anand Krishna Asundi; Huijie Zhao, Editor(s)

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