Projet lipase porté par vvie
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Guillaume Raffy 224234c3e7 added code to detect the traps
This processing will be needed to compute the traps mask
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scripts lipase is now released as a package on an owncloud directory 2019-10-04 18:48:35 +02:00
src added code to detect the traps 2020-01-29 12:11:43 +01:00
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Jenkinsfile lipase is now released as a package on an owncloud directory 2019-10-04 18:48:35 +02:00
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Makefile fixed bug that caused make install to not updating the package when plugiins change 2019-10-08 17:52:30 +02:00
README.md now that lipase is realeased as a package, I updated the user documentation accordingly 2019-10-07 12:25:01 +02:00

README.md

lipase

An image processing software suite for the project lipase (Véronique Vié, Institut de Physique de Rennes)

This software suite is developed as a python script for fiji (an image processing package based on imageJ).

What it does

As the development is at its early stages, it does not much at the moment:

  • loads a sequence of images into fiji in the form of an hyperstack (5d images : width, height, depth, channels, time)

How to use

  1. make sure that fiji is installed on your computer. If not, get it from https://fiji.sc/
  2. make sure that fiji has the IJ-OpenCV-plugins
    • in Fiji, select the Help->Update... menu item
    • in the Manage update sites window, tick the IJ-OpenCV-plugins (URL = http://sites.imagej.net/IJ-OpenCV/) if it's not ticked.
    • click the close button of the Manage update sites window
    • click "Apply changes" button in the ImageJ Updater window
    • wait until the plugins are installed and quit Fiji
  3. Install lipase
    • lipase is released as a package named "lipase-.zip". This package can be build from sources using the 'make package' command, provided you have all the build tools on your machine (make, javac, zip).
    • simply unzip the package "lipase-.zip" in Fiji root directory
  4. launch fiji and check that you have lipase tools in the menu Plugins/Ipr/Lipase

Notes

http://imagejdocu.tudor.lu/doku.php?id=plugin:analysis:microscope_image_correlation_spectroscopy:start