lipase/README.md

35 lines
1.9 KiB
Markdown
Raw Permalink Normal View History

2019-03-07 10:22:51 +01:00
# lipase
2019-03-29 15:58:18 +01:00
An image processing software suite for the project lipase (Véronique Vié, Institut de Physique de Rennes)
2019-03-29 15:13:54 +01:00
This software suite is developed as a python script for fiji (an image processing package based on imageJ).
2019-03-29 15:58:18 +01:00
## 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 install
2019-03-29 15:58:18 +01:00
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 **ImageJ Updater** window, click on the **Manage update sites** button. This opens the **Manage update sites** window.
- 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-<lipase-version>.zip`. This package can be built 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-<lipase-version>.zip` in Fiji root directory (the directory that contains Fiji executable eg /home/graffy/soft/Fiji.app)
4. launch fiji and check that you have lipase tools in the menu `Plugins/Ipr/Lipase`
## How to use
see `lipase-manual.pdf` (this document can be built from sources using the `make doc` command, provided you have all the build tools on your machine (make, pdflatex, imagemagick)
2019-07-16 11:12:39 +02:00
## Notes
http://imagejdocu.tudor.lu/doku.php?id=plugin:analysis:microscope_image_correlation_spectroscopy:start