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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...

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Autores principales: Qian, Jia, Lei, Ming, Dan, Dan, Yao, Baoli, Zhou, Xing, Yang, Yanlong, Yan, Shaohui, Min, Junwei, Yu, Xianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
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.
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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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