Short Description

This plugin uses the Ripley's K function to analyze robustly the spatial organization of molecules.

Documentation

Introduction:

This plugin allows the statistical analysis of the spatial distributions of molecules in one or several field of views (ROIs).

It is based on the Ripley's K function which counts the number of pairs of points that are closer than a parameter r. Comparing the values of the K function to its critical quantiles under spatial randomness then allows to assess statistically the presence of clusters (K(r)>quantile at level (1-alpha)) or dispersion (K(r)< quantile at level alpha) (see scheme below)

How to use the plugin in detail:

The methodology is detailed in the article

-T. Lagache, G. Lang, N. Sauvonnet and J.-C. Olivo-Marin Analysis of the spatial organization of molecules with robust statistics. PLoS ONE (Accepted, 2013).

A PPT presentation of the article is shown hereafter:

One review on “Spatial Analysis

  1. Fabrice de Chaumont
    Very well documented ! Good idea to put the full presentation ! It's impressive to see how impossible it is to distinguish clusters by eye. Good to have this quantification !

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Changelog

  • Version 0.0.1.5 • Released on: 2014-12-17 15:18:22
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  • Version 0.0.1.4 • Released on: 2014-09-14 17:15:25
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    Description:

    Fix the detection class problem

  • Version 0.0.1.3 • Released on: 2014-03-04 14:49:18
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  • Version 0.0.1.2 • Released on: 2014-02-27 16:42:44
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  • Version 0.0.1.1 • Released on: 2013-10-31 15:51:29
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  • Version 0.0.1.0b • Released on: 2013-10-31 15:37:14
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