The MICS plugin is used for the analysis of fluorescent image sequences by Image Correlation Spectroscopy.
Introduction Fluorescence spectroscopy by image correlation is a technique that allows analysing and characterizing the different molecular dynamics from a sequence of fluorescence images.
Many image correlation techniques have been developed for different applications but in particular to study the mechanisms of cell adhesion during migration. These techniques can be used with most imaging modalities: e.g. fluorescence widefield, confocal microscopy, TIRFM. They allow to obtain information such as the density in molecules, diffusion coefficients, the presence of several populations, or the direction and speed of a movement corresponding to active transport when spatial and temporal correlations are taken into account (STICS: Spatio-Temporal Image Correlation Spectroscopy).
Chen Chen, Perrine Paul-Gilloteaux, François Waharte.
This plugin is based on ICS_tools plugin by Fitz Elliott, available at : http://www.cellmigration.org/resource/imaging/imaging_resources.shtml
Here is a screenshot of the main window of the plugin:
You have to choose the technique you want to use from the list and then follow the different steps corresponding to the type of analysis. A brief description for each technique is given on the main window. The control menu allows you to define an analysis ROI. Use a calibrated stack (Image/Properties) in um and seconds. Ideally start with ICS which will compute the beam width, and then run TICS or STICS. A tutorial will come soon with examples.
Download mics_toolkit_.jar and extract to a new folder in the ImageJ plugins folder. There will be a new “MICS” folder with a new “MICS” command in the Plugins menu the next time you restart ImageJ.
The program is open source; you can redistribute is and/or modify it under the terms of the GNU General public License.