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Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation

Super-resolution imaging techniques have provided unprecedentedly detailed information by surpassing the diffraction-limited resolution of light microscopy. However, in order to derive high quality spatial resolution, many of these techniques require high laser power, extended imaging time, dedicate...

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Detalles Bibliográficos
Autores principales: Junod, Samuel L., Tingey, Mark, Rush, Coby, Alkurdi, Abdullah, Bajoria, Khushi, Yang, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941874/
https://www.ncbi.nlm.nih.gov/pubmed/36824228
http://dx.doi.org/10.1016/j.csbj.2023.02.008
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author Junod, Samuel L.
Tingey, Mark
Rush, Coby
Alkurdi, Abdullah
Bajoria, Khushi
Yang, Weidong
author_facet Junod, Samuel L.
Tingey, Mark
Rush, Coby
Alkurdi, Abdullah
Bajoria, Khushi
Yang, Weidong
author_sort Junod, Samuel L.
collection PubMed
description Super-resolution imaging techniques have provided unprecedentedly detailed information by surpassing the diffraction-limited resolution of light microscopy. However, in order to derive high quality spatial resolution, many of these techniques require high laser power, extended imaging time, dedicated sample preparation, or some combination of the three. These constraints are particularly evident when considering three-dimensional (3D) super-resolution imaging. As a result, high-speed capture of 3D super-resolution information of structures and dynamic processes within live cells remains both desirable and challenging. Recently, a highly effective approach to obtain 3D super-resolution information was developed that can be employed in commonly available laboratory microscopes. This development makes it both scientifically possible and financially feasible to obtain super-resolution 3D information under certain conditions. This is accomplished by converting 2D single-molecule localization data captured at high speed within subcellular structures and rotationally symmetric organelles. Here, a high-speed 2D single-molecule tracking and post-localization technique, known as single-point edge-excitation sub-diffraction (SPEED) microcopy, along with its 2D-to-3D transformation algorithm is detailed with special emphasis on the mathematical principles and Monte Carlo simulation validation of the technique.
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spelling pubmed-99418742023-02-22 Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation Junod, Samuel L. Tingey, Mark Rush, Coby Alkurdi, Abdullah Bajoria, Khushi Yang, Weidong Comput Struct Biotechnol J Mini-Review Super-resolution imaging techniques have provided unprecedentedly detailed information by surpassing the diffraction-limited resolution of light microscopy. However, in order to derive high quality spatial resolution, many of these techniques require high laser power, extended imaging time, dedicated sample preparation, or some combination of the three. These constraints are particularly evident when considering three-dimensional (3D) super-resolution imaging. As a result, high-speed capture of 3D super-resolution information of structures and dynamic processes within live cells remains both desirable and challenging. Recently, a highly effective approach to obtain 3D super-resolution information was developed that can be employed in commonly available laboratory microscopes. This development makes it both scientifically possible and financially feasible to obtain super-resolution 3D information under certain conditions. This is accomplished by converting 2D single-molecule localization data captured at high speed within subcellular structures and rotationally symmetric organelles. Here, a high-speed 2D single-molecule tracking and post-localization technique, known as single-point edge-excitation sub-diffraction (SPEED) microcopy, along with its 2D-to-3D transformation algorithm is detailed with special emphasis on the mathematical principles and Monte Carlo simulation validation of the technique. Research Network of Computational and Structural Biotechnology 2023-02-08 /pmc/articles/PMC9941874/ /pubmed/36824228 http://dx.doi.org/10.1016/j.csbj.2023.02.008 Text en © 2023 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Mini-Review
Junod, Samuel L.
Tingey, Mark
Rush, Coby
Alkurdi, Abdullah
Bajoria, Khushi
Yang, Weidong
Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation
title Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation
title_full Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation
title_fullStr Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation
title_full_unstemmed Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation
title_short Obtaining 3D super-resolution images by utilizing rotationally symmetric structures and 2D-to-3D transformation
title_sort obtaining 3d super-resolution images by utilizing rotationally symmetric structures and 2d-to-3d transformation
topic Mini-Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941874/
https://www.ncbi.nlm.nih.gov/pubmed/36824228
http://dx.doi.org/10.1016/j.csbj.2023.02.008
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