Pixel-resolution and image quality improvement in lensfree holographic microscopy using adaptive relaxation and positional error correction

Jialin Zhang; Qian Chen; Jiasong Sun; Jiaji Li; Chao Zuo

doi:10.1117/12.2284118

24 October 2017 Pixel-resolution and image quality improvement in lensfree holographic microscopy using adaptive relaxation and positional error correction

Jialin Zhang, Qian Chen, Jiasong Sun, Jiaji Li, Chao Zuo

Author Affiliations +

Proceedings Volume 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing; 104580T (2017) https://doi.org/10.1117/12.2284118
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

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).

Citation Download Citation

Jialin Zhang, Qian Chen, Jiasong Sun, Jiaji Li, and Chao Zuo "Pixel-resolution and image quality improvement in lensfree holographic microscopy using adaptive relaxation and positional error correction", Proc. SPIE 10458, AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing, 104580T (24 October 2017); https://doi.org/10.1117/12.2284118

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