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Full-color structured illumination optical sectioning microscopy
In merits of super-resolved resolution and fast speed of three-dimensional (3D) optical sectioning capability, structured illumination microscopy (SIM) has found variety of applications in biomedical imaging. So far, most SIM systems use monochrome CCD or CMOS cameras to acquire images and discard t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586488/ https://www.ncbi.nlm.nih.gov/pubmed/26415516 http://dx.doi.org/10.1038/srep14513 |
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author | Qian, Jia Lei, Ming Dan, Dan Yao, Baoli Zhou, Xing Yang, Yanlong Yan, Shaohui Min, Junwei Yu, Xianghua |
author_facet | Qian, Jia Lei, Ming Dan, Dan Yao, Baoli Zhou, Xing Yang, Yanlong Yan, Shaohui Min, Junwei Yu, Xianghua |
author_sort | Qian, Jia |
collection | PubMed |
description | In merits of super-resolved resolution and fast speed of three-dimensional (3D) optical sectioning capability, structured illumination microscopy (SIM) has found variety of applications in biomedical imaging. So far, most SIM systems use monochrome CCD or CMOS cameras to acquire images and discard the natural color information of the specimens. Although multicolor integration scheme are employed, multiple excitation sources and detectors are required and the spectral information is limited to a few of wavelengths. Here, we report a new method for full-color SIM with a color digital camera. A data processing algorithm based on HSV (Hue, Saturation, and Value) color space is proposed, in which the recorded color raw images are processed in the Hue, Saturation, Value color channels, and then reconstructed to a 3D image with full color. We demonstrated some 3D optical sectioning results on samples such as mixed pollen grains, insects, micro-chips and the surface of coins. The presented technique is applicable to some circumstance where color information plays crucial roles, such as in materials science and surface morphology. |
format | Online Article Text |
id | pubmed-4586488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45864882015-09-30 Full-color structured illumination optical sectioning microscopy Qian, Jia Lei, Ming Dan, Dan Yao, Baoli Zhou, Xing Yang, Yanlong Yan, Shaohui Min, Junwei Yu, Xianghua Sci Rep Article In merits of super-resolved resolution and fast speed of three-dimensional (3D) optical sectioning capability, structured illumination microscopy (SIM) has found variety of applications in biomedical imaging. So far, most SIM systems use monochrome CCD or CMOS cameras to acquire images and discard the natural color information of the specimens. Although multicolor integration scheme are employed, multiple excitation sources and detectors are required and the spectral information is limited to a few of wavelengths. Here, we report a new method for full-color SIM with a color digital camera. A data processing algorithm based on HSV (Hue, Saturation, and Value) color space is proposed, in which the recorded color raw images are processed in the Hue, Saturation, Value color channels, and then reconstructed to a 3D image with full color. We demonstrated some 3D optical sectioning results on samples such as mixed pollen grains, insects, micro-chips and the surface of coins. The presented technique is applicable to some circumstance where color information plays crucial roles, such as in materials science and surface morphology. Nature Publishing Group 2015-09-29 /pmc/articles/PMC4586488/ /pubmed/26415516 http://dx.doi.org/10.1038/srep14513 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Qian, Jia Lei, Ming Dan, Dan Yao, Baoli Zhou, Xing Yang, Yanlong Yan, Shaohui Min, Junwei Yu, Xianghua Full-color structured illumination optical sectioning microscopy |
title | Full-color structured illumination optical sectioning microscopy |
title_full | Full-color structured illumination optical sectioning microscopy |
title_fullStr | Full-color structured illumination optical sectioning microscopy |
title_full_unstemmed | Full-color structured illumination optical sectioning microscopy |
title_short | Full-color structured illumination optical sectioning microscopy |
title_sort | full-color structured illumination optical sectioning microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586488/ https://www.ncbi.nlm.nih.gov/pubmed/26415516 http://dx.doi.org/10.1038/srep14513 |
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