plugin

This plugin automatically threshold an image using the Mixture Modeling algorithm. It is an histogram-based technique that assumes that the histogram distribution is represented by two Gaussian curves.

View your multi-channel data as a montage with one image per channel plus a merged, color channel (useful to create figures for communication). 

This viewer plugin will split all N channels of the active sequence into a montage of N+1 images, with one image for each channel, plus an additionnal color (merge) rendering.

Image segmentation by representative colors selection. Two versions are available :

• thresholding
• positive and negative colors selection and SVM learning

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Coloc 2 is Fiji's plugin for colocalization analysis. It implements and performs the pixel intensity correlation over space methods of Pearson, Manders, Costes, Li and more, for scatterplots, analysis, automatic thresholding and statistical significance testing.

Coloc 2 does NOT perform object based colocalization measurements, where objects are first segmented from the image, then their spatial relationships like overlap etc. are measured. This complementary approach is implemented in many ways elsewhere.

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Released in 2007, there is a newer "remastered" version "DeconvolutionLab2" (2017)

Provides a selection of spatial, separable and customizable filters in 1D and 2D, with OpenCL implementation if supported.

This originally came from this module.

Currently it is available as the ilastik CellProfiler plugin (see this image.sc post for details).