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  1. # nd2reader
  2. [![Anaconda-Server Badge](https://anaconda.org/conda-forge/nd2reader/badges/version.svg)](https://anaconda.org/conda-forge/nd2reader)
  3. [![Anaconda-Server Badge](https://anaconda.org/conda-forge/nd2reader/badges/downloads.svg)](https://anaconda.org/conda-forge/nd2reader)
  4. [![Build Status](https://travis-ci.org/rbnvrw/nd2reader.svg?branch=master)](https://travis-ci.org/rbnvrw/nd2reader)
  5. [![Test Coverage](https://codeclimate.com/github/rbnvrw/nd2reader/badges/coverage.svg)](https://codeclimate.com/github/rbnvrw/nd2reader/coverage)
  6. [![Code Climate](https://codeclimate.com/github/rbnvrw/nd2reader/badges/gpa.svg)](https://codeclimate.com/github/rbnvrw/nd2reader)
  7. ![(score out of 4.0)](https://cdn.rawgit.com/rbnvrw/nd2reader/6f4536f1/badge.svg)
  8. ### About
  9. `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.
  10. 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.
  11. ### Documentation
  12. The documentation is available [here](http://www.lighthacking.nl/nd2reader/).
  13. ### Installation
  14. The package is available on PyPi. Install it using:
  15. ```
  16. pip install nd2reader
  17. ```
  18. 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.
  19. `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.
  20. #### Installation via Conda Forge
  21. Installing `nd2reader` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with:
  22. ```
  23. conda config --add channels conda-forge
  24. ```
  25. Once the `conda-forge` channel has been enabled, `nd2reader` can be installed with:
  26. ```
  27. conda install nd2reader
  28. ```
  29. It is possible to list all of the versions of `nd2reader` available on your platform with:
  30. ```
  31. conda search nd2reader --channel conda-forge
  32. ```
  33. ### ND2s
  34. `nd2reader` follows the [pims](https://github.com/soft-matter/pims) framework. To open a file and show the first frame:
  35. ```python
  36. from nd2reader import ND2Reader
  37. import matplotlib.pyplot as plt
  38. with ND2Reader('my_directory/example.nd2') as images:
  39. plt.imshow(images[0])
  40. ```
  41. After opening the file, all `pims` features are supported. Please refer to the [pims documentation](http://soft-matter.github.io/pims/).
  42. #### Backwards compatibility
  43. Older versions of `nd2reader` do not use the `pims` framework. To provide backwards compatibility, a legacy [Nd2](http://www.lighthacking.nl/nd2reader/nd2reader.html#module-nd2reader.legacy) class is provided.
  44. ### Contributing
  45. 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
  46. for more information.
  47. ### Bug Reports and Features
  48. If this fails to work exactly as expected, please open an [issue](https://github.com/rbnvrw/nd2reader/issues).
  49. If you get an unhandled exception, please paste the entire stack trace into the issue as well.
  50. ### Acknowledgments
  51. PIMS modified version by Ruben Verweij.
  52. Original version by Jim Rybarski. Support for the development of this package was partially provided by the [Finkelstein Laboratory](http://finkelsteinlab.org/).