ArticleSTAR protocols2021
Protocol for multicolor three-dimensional dSTORM data analysis using MATLAB-based script package Grafeo.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- The nuclear matrix stabilizes primed-specific genes in human pluripotent stem cells.Nature cell biology · 2025Article
- MultiMatch: geometry-informed colocalization in multi-color super-resolution microscopy.Communications biology · 2024Article
- KCBC - a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley'sJournal of applied statistics · 2024Article
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Authors and funding
2 authors.
Funding
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Abstract
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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Registered trials
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