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+Fiji: Fiji is just ImageJ
+
+Fiji is an image processing package, a "batteries-included"
+distribution of ImageJ, bundling a lot of plugins which facilitate
+scientific image analysis.
+
+ImageJ is a Java image processing program inspired by NIH Image for
+the Macintosh. It can display, edit, analyze, process, save and print
+8-bit, 16-bit and 32-bit images. It can read many image formats
+including TIFF, GIF, JPEG, BMP, DICOM, FITS and "raw". It supports
+"stacks", a series of images that share a single window. It is multi-
+threaded, so time-consuming operations such as image file reading can
+be performed in parallel with other operations.
+
+ImageJ can calculate area and pixel value statistics of user-defined
+selections. It can measure distances and angles. It can create density
+histograms and line profile plots. It supports standard image
+processing functions such as contrast manipulation, sharpening,
+smoothing, edge detection and median filtering.
+
+ImageJ does geometric transformations such as scaling, rotation and
+flips. Image can be zoomed up to 32:1 and down to 1:32. All analysis
+and processing functions are available at any magnification factor.
+The program supports any number of windows (images) simultaneously,
+limited only by available memory.
+
+Spatial calibration is available to provide real world dimensional
+measurements in units such as millimeters. Density or gray scale
+calibration is also available.
+
+Fiji is Just ImageJ, with extras. It is a distribution of ImageJ with
+many plugins useful for scientific image analysis in fields such as
+life sciences. It is actively maintained, with updates released often. 
+
+NOTE!
+The download link points to an unversioned archive. This means that
+he MD5SUM will change when the tarball is updated from upstream. When
+this happens, please notify the maintainer.
+
+Citing
+Schindelin, J.; Arganda-Carreras, I. & Frise, E. et al. (2012)
+"Fiji: an open-source platform for biological-image analysis"
+Nature methods 9(7): 676-682, PMID 22743772, doi:10.1038/nmeth.2019