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Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy
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 tr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603528/ https://www.ncbi.nlm.nih.gov/pubmed/28924248 http://dx.doi.org/10.1038/s41598-017-11715-x |
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author | Zhang, Jialin Sun, Jiasong Chen, Qian Li, Jiaji Zuo, Chao |
author_facet | Zhang, Jialin Sun, Jiasong Chen, Qian Li, Jiaji Zuo, Chao |
author_sort | Zhang, Jialin |
collection | PubMed |
description | 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 (~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 (1.67µm). Full-FOV imaging result of a typical dicot root is also provided to demonstrate its promising potential applications in biologic imaging. |
format | Online Article Text |
id | pubmed-5603528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56035282017-09-20 Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy Zhang, Jialin Sun, Jiasong Chen, Qian Li, Jiaji Zuo, Chao Sci Rep Article 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 (~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 (1.67µm). Full-FOV imaging result of a typical dicot root is also provided to demonstrate its promising potential applications in biologic imaging. Nature Publishing Group UK 2017-09-18 /pmc/articles/PMC5603528/ /pubmed/28924248 http://dx.doi.org/10.1038/s41598-017-11715-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhang, Jialin Sun, Jiasong Chen, Qian Li, Jiaji Zuo, Chao Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
title | Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
title_full | Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
title_fullStr | Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
title_full_unstemmed | Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
title_short | Adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
title_sort | adaptive pixel-super-resolved lensfree in-line digital holography for wide-field on-chip microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603528/ https://www.ncbi.nlm.nih.gov/pubmed/28924248 http://dx.doi.org/10.1038/s41598-017-11715-x |
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