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Aberration correction for improving the image quality in STED microscopy using the genetic algorithm
With a purely optical modulation of fluorescent behaviors, stimulated emission depletion (STED) microscopy allows for far-field imaging with a diffraction-unlimited resolution in theory. The performance of STED microscopy is affected by many factors, of which aberrations induced by the optical syste...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051000/ https://www.ncbi.nlm.nih.gov/pubmed/32123648 http://dx.doi.org/10.1515/nanoph-2018-0133 |
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author | Wang, Luwei Yan, Wei Li, Runze Weng, Xiaoyu Zhang, Jia Yang, Zhigang Liu, Liwei Ye, Tong Qu, Junle |
author_facet | Wang, Luwei Yan, Wei Li, Runze Weng, Xiaoyu Zhang, Jia Yang, Zhigang Liu, Liwei Ye, Tong Qu, Junle |
author_sort | Wang, Luwei |
collection | PubMed |
description | With a purely optical modulation of fluorescent behaviors, stimulated emission depletion (STED) microscopy allows for far-field imaging with a diffraction-unlimited resolution in theory. The performance of STED microscopy is affected by many factors, of which aberrations induced by the optical system and biological samples can distort the wave front of the depletion beam at the focal plane to greatly deteriorate the spatial resolution and the image contrast. Therefore, aberration correction is imperative for STED imaging, especially for imaging thick specimens. Here, we present a wave front compensation approach based on the genetic algorithm (GA) to restore the distorted laser wave front for improving the quality of STED images. After performing aberration correction on two types of zebrafish samples, the signal intensity and the imaging resolution of STED images were both improved, where the thicknesses were 24 μm and 100 μm in the zebrafish retina sample and the zebrafish embryo sample, respectively. The results showed that the GA-based wave front compensation approach has the capability of correction for both system-induced and sample-induced aberrations. The elimination of aberrations can prompt STED imaging in deep tissues; therefore, STED microscopy can be expected to play an increasingly important role in super-resolution imaging related to the scientific research in biological fields. |
format | Online Article Text |
id | pubmed-7051000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-70510002020-03-02 Aberration correction for improving the image quality in STED microscopy using the genetic algorithm Wang, Luwei Yan, Wei Li, Runze Weng, Xiaoyu Zhang, Jia Yang, Zhigang Liu, Liwei Ye, Tong Qu, Junle Nanophotonics Article With a purely optical modulation of fluorescent behaviors, stimulated emission depletion (STED) microscopy allows for far-field imaging with a diffraction-unlimited resolution in theory. The performance of STED microscopy is affected by many factors, of which aberrations induced by the optical system and biological samples can distort the wave front of the depletion beam at the focal plane to greatly deteriorate the spatial resolution and the image contrast. Therefore, aberration correction is imperative for STED imaging, especially for imaging thick specimens. Here, we present a wave front compensation approach based on the genetic algorithm (GA) to restore the distorted laser wave front for improving the quality of STED images. After performing aberration correction on two types of zebrafish samples, the signal intensity and the imaging resolution of STED images were both improved, where the thicknesses were 24 μm and 100 μm in the zebrafish retina sample and the zebrafish embryo sample, respectively. The results showed that the GA-based wave front compensation approach has the capability of correction for both system-induced and sample-induced aberrations. The elimination of aberrations can prompt STED imaging in deep tissues; therefore, STED microscopy can be expected to play an increasingly important role in super-resolution imaging related to the scientific research in biological fields. 2018-11-13 2018-12 /pmc/articles/PMC7051000/ /pubmed/32123648 http://dx.doi.org/10.1515/nanoph-2018-0133 Text en http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. |
spellingShingle | Article Wang, Luwei Yan, Wei Li, Runze Weng, Xiaoyu Zhang, Jia Yang, Zhigang Liu, Liwei Ye, Tong Qu, Junle Aberration correction for improving the image quality in STED microscopy using the genetic algorithm |
title | Aberration correction for improving the image quality in STED microscopy using the genetic algorithm |
title_full | Aberration correction for improving the image quality in STED microscopy using the genetic algorithm |
title_fullStr | Aberration correction for improving the image quality in STED microscopy using the genetic algorithm |
title_full_unstemmed | Aberration correction for improving the image quality in STED microscopy using the genetic algorithm |
title_short | Aberration correction for improving the image quality in STED microscopy using the genetic algorithm |
title_sort | aberration correction for improving the image quality in sted microscopy using the genetic algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051000/ https://www.ncbi.nlm.nih.gov/pubmed/32123648 http://dx.doi.org/10.1515/nanoph-2018-0133 |
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