The jicbioimage Python package makes it easy to explore microscopy data in a programmatic fashion. Exploring images via coding means that the exploratory work becomes recorded and reproducible. Furthermore, it makes it easier to convert the exploratory work into (semi) automated analysis work flows.

• Documentation: http://jicbioimage.readthedocs.io
• GitHub: https://github.com/JIC-CSB/jicbioimage
• PyPI: https://pypi.python.org/pypi/jicbioimage
• Free software: MIT License

• Built in functionality for working with microscopy data
• Automatic generation of audit trails
• IPython integration
• Cross-platform: Linux, Mac and Windows are all supported
• Works with Python 2.7, 3.3 and 3.4

• Documentation: http://jicbioimagecore.readthedocs.io
• GitHub: https://github.com/JIC-CSB/jicbioimage.core

• Documentation: http://jicbioimagetransform.readthedocs.io
• GitHub: https://github.com/JIC-CSB/jicbioimage.transform

• Documentation: http://jicbioimagesegment.readthedocs.io
• GitHub: https://github.com/JIC-CSB/jicbioimage.segment

• Documentation: http://jicbioimageillustrate.readthedocs.io
• GitHub: https://github.com/JIC-CSB/jicbioimage.illustrate