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  1. # nd2reader
  2. [![Build Status](https://travis-ci.org/rbnvrw/nd2reader.svg?branch=master)](https://travis-ci.org/rbnvrw/nd2reader)
  3. [![Test Coverage](https://codeclimate.com/github/rbnvrw/nd2reader/badges/coverage.svg)](https://codeclimate.com/github/rbnvrw/nd2reader/coverage)
  4. [![Code Climate](https://codeclimate.com/github/rbnvrw/nd2reader/badges/gpa.svg)](https://codeclimate.com/github/rbnvrw/nd2reader)
  5. ### About
  6. `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.
  7. 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.
  8. ### Installation
  9. 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.
  10. `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.
  11. ### ND2s
  12. `nd2reader` follows the [pims](https://github.com/soft-matter/pims) framework. To open a file:
  13. ```python
  14. from nd2reader import ND2Reader
  15. images = ND2Reader('my_directory/example.nd2')
  16. ```
  17. After opening the file, all `pims` features are supported. Please refer to the [documentation](http://soft-matter.github.io/pims/).
  18. ### Contributing
  19. 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
  20. for more information.
  21. ### Bug Reports and Features
  22. If this fails to work exactly as expected, please open an [issue](https://github.com/rbnvrw/nd2reader/issues).
  23. If you get an unhandled exception, please paste the entire stack trace into the issue as well.
  24. ### Acknowledgments
  25. PIMS modified version by Ruben Verweij.
  26. Original version by Jim Rybarski. Support for the development of this package was partially provided by the [Finkelstein Laboratory](http://finkelsteinlab.org/).