# nd2reader [![Build Status](https://travis-ci.org/rbnvrw/nd2reader.svg?branch=master)](https://travis-ci.org/rbnvrw/nd2reader) [![Test Coverage](https://codeclimate.com/github/rbnvrw/nd2reader/badges/coverage.svg)](https://codeclimate.com/github/rbnvrw/nd2reader/coverage) [![Code Climate](https://codeclimate.com/github/rbnvrw/nd2reader/badges/gpa.svg)](https://codeclimate.com/github/rbnvrw/nd2reader) ### About `nd2reader` is a pure-Python package that reads images produced by NIS Elements 4.0+. It has only been definitively tested on NIS Elements 4.30.02 Build 1053. Support for older versions is being actively worked on. The reader is written in the [pims](https://github.com/soft-matter/pims) framework, enabling easy access to multidimensional files, lazy slicing, and nice display in IPython. ### Documentation The documentation is available [here](http://www.lighthacking.nl/nd2reader/). ### Installation If you don't already have the packages `numpy`, `pims`, `six` and `xmltodict`, they will be installed automatically if you use the `setup.py` script. `nd2reader` is an order of magnitude faster in Python 3. I recommend using it unless you have no other choice. Python 2.7 and Python >= 3.4 are supported. ### ND2s `nd2reader` follows the [pims](https://github.com/soft-matter/pims) framework. To open a file: ```python from nd2reader import ND2Reader images = ND2Reader('my_directory/example.nd2') ``` After opening the file, all `pims` features are supported. Please refer to the [documentation](http://soft-matter.github.io/pims/). ### Contributing If you'd like to help with the development of nd2reader or just have an idea for improvement, please see the [contributing](https://github.com/rbnvrw/nd2reader/blob/master/CONTRIBUTING.md) page for more information. ### Bug Reports and Features If this fails to work exactly as expected, please open an [issue](https://github.com/rbnvrw/nd2reader/issues). If you get an unhandled exception, please paste the entire stack trace into the issue as well. ### Acknowledgments PIMS modified version by Ruben Verweij. Original version by Jim Rybarski. Support for the development of this package was partially provided by the [Finkelstein Laboratory](http://finkelsteinlab.org/).