Fresh from Nature Methods this week is an article from a consortium of UW-Madison researchers that developed a Python library for image analysis. Their new Python library is linking the Java-based methods of the ImageJ2 software to Python for powerful command-line processing.
References
Rueden, CT, Hiner, MC, Evans, EL, Pinkert, MA, Lucas, AM, Carpenter, AE, Cimini, BA, Eliceiri, KW (2022). PyImageJ: A library for integrating ImageJ and Python. Nat Methods, 19, 11:1326-1327. https://doi.org/10.1038/s41592-022-01655-4 – PMID 28369169
Rueden, C.T., Schindelin, J., Hiner, M.C. et al. ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinformatics 18, 529 (2017). https://doi.org/10.1186/s12859-017-1934-z – PMID 29187165
Software download
PyImageJ: https://github.com/imagej/pyimagej
ImageJ2: https://github.com/imagej/imagej2