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--- plugin:color:colour_deconvolution:optimizing_selection_of_unitary_optical_density_vectors:start [2019/04/12 13:13] – external edit 127.0.0.1
+++ plugin:color:colour_deconvolution:optimizing_selection_of_unitary_optical_density_vectors:start [2020/10/15 22:54] (current) – [INTRODUCTION] glandini
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 ===== INTRODUCTION =====
-This software was designed to ease the determination of unitary optical density vectors used in the color decovolution plugin written by Gabriel Landini [[http://www.mecourse.com/landinig/software/software.html]] and based on the original publication by Ruifrok and Johnston:[[http://www.ncbi.nlm.nih.gov/pubmed/11531144|Quantification of histochemical staining by color deconvolution.]]
+This software was designed to ease the determination of unitary optical density vectors used in the color decovolution plugin written by Gabriel Landini [[https://blog.bham.ac.uk/intellimic/g-landini-software/colour-deconvolution-2/]] and based on the original publication by Ruifrok and Johnston:[[http://www.ncbi.nlm.nih.gov/pubmed/11531144|Quantification of histochemical staining by color deconvolution.]]
 The major idea of this imageJ plugin relies on the fact that 3D optical density unitary vectors (which are the core of the colour deconvolution algorithm) have constant radius = 1. Therefore, one can transform 3D vectors to 2D vectors by using polar coordinates and getting rid of the radius. 2D optical density vectors can then be mapped on a stereographic projection map. Please refers to: [[http://www.ncbi.nlm.nih.gov/pubmed/23016461|Color deconvolution. Optimizing handling of 3D unitary optical density vectors with polar coordinates.]]
 ===== AUTHOR =====