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It explains how to use ImageJ to compare the density (aka intensity) of bands on an agar gel or western blot.

Some notes can be found here: http://cellnetmcweb.bioquant.uni-heidelberg.de/image-analysis/ShortTutorials/Fiji_GelAnalyzer.pdf

The workflow contains a Matlab package (plusTipTracker) for segmentation and tracking of microtubule tips, based on fluorescence time-lapse movies from microtubule tip markers such as EB-GFP. The tracking model accounts for the specific movement characteristics of microtubules Moreover, scripts for secondary analysis of detected microtubule paths are provided.

plusTipTracker is part of u-track 2.0 package. The workflow is described in the reference. 

An exponential curve fitting library used for Fluorescence Lifetime Imaging (FLIM) and Spectral Lifetime Imaging (SLIM), available as:

• Source code as C/C++ and Java library

• ImageJ plugin

• Standalone Open-Source Windows application

Publications:

• Barber, P.R., Proc. SPIE, 5700, 2005.pdf
• Barber, P.R., J. R. Soc. Interface, 6, 2009.pdf

Python-bioformats is a Python wrapper for Bio-Formats, a standalone Java library for reading and writing life sciences image file formats. Bio-Formats is capable of parsing both pixels and metadata for a large number of formats, as well as writing to several formats. Python-bioformats uses the python-javabridge to start a Java virtual machine from Python and interact with it. Python-bioformats was developed for and is used by the cell image analysis software CellProfiler (cellprofiler.org). PyPI record: https://pypi.python.org/pypi/python-bioformats Documentation: http://pythonhosted.org/python-bioformats/ GitHub repository: https://github.com/CellProfiler/python-bioformats Report bugs here: https://github.com/CellProfiler/python-bioformats/issues python-bioformats is licensed under the GPL license to be compatible with the copy of Bio-Formats that is distributed with the package, but is compatible with a BSD license if loci_tools.jar is replaced with SCIFIO jars. See the accompanying file LICENSE for details.

The javabridge Python package makes it easy to start a Java virtual machine (JVM) from Python and interact with it. Python code can interact with the JVM using a low-level API or a more convenient high-level API. PyPI record: https://pypi.python.org/pypi/javabridge Documentation: http://pythonhosted.org/javabridge/ GitHub repository: https://github.com/CellProfiler/python-javabridge Report bugs here: https://github.com/CellProfiler/python-javabridge/issues python-javabridge is licensed under the BSD license. See the accompanying file LICENSE for details.