Journal
SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41598-017-11715-x
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Funding
- National Natural Science Fund of China [61722506, 61505081, 111574152]
- Final Assembly 13th Five-Year Plan Advanced Research Project of China [30102070102]
- National Defense Science and Technology Foundation of China [0106173]
- National Key Technologies R&D Program of China [2017YFF0106400, 2017YFF0106403]
- Outstanding Youth Foundation of Jiangsu Province of China [BK20170034]
- Six Talent Peaks project of Jiangsu Province, China [2015-DZXX-009]
- 333 Engineering Research Project of Jiangsu Province, China [BRA2016407]
- Fundamental Research Funds for the Central Universities [30917011204, 30916011322]
- Open Research Fund of Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense [3091601410414]
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High-resolution wide field-of-view (FOV) microscopic imaging plays an essential role in various fields of biomedicine, engineering, and physical sciences. As an alternative to conventional lens-based scanning techniques, lensfree holography provides a new way to effectively bypass the intrinsical trade-off between the spatial resolution and FOV of conventional microscopes. Unfortunately, due to the limited sensor pixel-size, unpredictable disturbance during image acquisition, and sub-optimum solution to the phase retrieval problem, typical lensfree microscopes only produce compromised imaging quality in terms of lateral resolution and signal-to-noise ratio (SNR). Here, we propose an adaptive pixel-super-resolved lensfree imaging (APLI) method which can solve, or at least partially alleviate these limitations. Our approach addresses the pixel aliasing problem by Z-scanning only, without resorting to subpixel shifting or beam-angle manipulation. Automatic positional error correction algorithm and adaptive relaxation strategy are introduced to enhance the robustness and SNR of reconstruction significantly. Based on APLI, we perform full-FOV reconstruction of a USAF resolution target (similar to 29.85 mm(2)) and achieve half-pitch lateral resolution of 770 nm, surpassing 2.17 times of the theoretical Nyquist-Shannon sampling resolution limit imposed by the sensor pixel-size (1.67 mu m). Full-FOV imaging result of a typical dicot root is also provided to demonstrate its promising potential applications in biologic imaging.
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