Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo

This protocol describes the step-by-step analysis of the multicolor (one-, two-, or three-color) two- and three-dimensional dSTORM (direct STochastic Optical Reconstruction Microscopy) data using MATLAB-based script package Grafeo. Grafeo primarily uses pointillist data visualization and analysis fr...

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Detalles Bibliográficos
Autores principales: Haas, Kalina Tamara, Peaucelle, Alexis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437824/
https://www.ncbi.nlm.nih.gov/pubmed/34541556
http://dx.doi.org/10.1016/j.xpro.2021.100808
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author Haas, Kalina Tamara
Peaucelle, Alexis
author_facet Haas, Kalina Tamara
Peaucelle, Alexis
author_sort Haas, Kalina Tamara
collection PubMed
description This protocol describes the step-by-step analysis of the multicolor (one-, two-, or three-color) two- and three-dimensional dSTORM (direct STochastic Optical Reconstruction Microscopy) data using MATLAB-based script package Grafeo. Grafeo primarily uses pointillist data visualization and analysis frameworks, including the nearest neighbors, approach, Voronoi tessellation, Delaunay triangulation, Ripley’s (K, L) and two-point correlation functions, and graph-based clustering. For complete details on the use and execution of this protocol, please refer to Peaucelle et al. (2020), Haas et al., 2018, Haas et al. (2020b).
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spelling pubmed-84378242021-09-17 Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo Haas, Kalina Tamara Peaucelle, Alexis STAR Protoc Protocol This protocol describes the step-by-step analysis of the multicolor (one-, two-, or three-color) two- and three-dimensional dSTORM (direct STochastic Optical Reconstruction Microscopy) data using MATLAB-based script package Grafeo. Grafeo primarily uses pointillist data visualization and analysis frameworks, including the nearest neighbors, approach, Voronoi tessellation, Delaunay triangulation, Ripley’s (K, L) and two-point correlation functions, and graph-based clustering. For complete details on the use and execution of this protocol, please refer to Peaucelle et al. (2020), Haas et al., 2018, Haas et al. (2020b). Elsevier 2021-09-09 /pmc/articles/PMC8437824/ /pubmed/34541556 http://dx.doi.org/10.1016/j.xpro.2021.100808 Text en © 2021. 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 Protocol
Haas, Kalina Tamara
Peaucelle, Alexis
Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo
title Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo
title_full Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo
title_fullStr Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo
title_full_unstemmed Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo
title_short Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo
title_sort protocol for multicolor three-dimensional dstorm data analysis using matlab-based script package grafeo
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437824/
https://www.ncbi.nlm.nih.gov/pubmed/34541556
http://dx.doi.org/10.1016/j.xpro.2021.100808
work_keys_str_mv AT haaskalinatamara protocolformulticolorthreedimensionaldstormdataanalysisusingmatlabbasedscriptpackagegrafeo
AT peaucellealexis protocolformulticolorthreedimensionaldstormdataanalysisusingmatlabbasedscriptpackagegrafeo

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