What's New?
This is a major release of phconvert that adds support for Photon-HDF5 v0.5 and for more input file formats (Picoquant PT3. and .T3R). Many thanks to biswajitSM for contributing the PT3/T3R feature.
To install or update phconvert use:
conda install phconvert -c conda-forge
> **NOTE**: You can also install phconvert from PyPI.
Note that phconvert 0.8+ will save only Photon-HDF5 v0.5. If you need to save the old Photon-HDF5 v0.4 format, you can use phconvert 0.7.x. The 0.7 branch will receive only critical bug fixes.
- **Photon-HDF5 version 0.5**: This release of phconvert will read an save the new Photon-HDF5 version 0.5. Note that Photon-HDF5 v0.5 is still in "release candidate" stage (rc1). Minor modifications to the format are still possible (but at this point unlikely) before the final 0.5 specs release. You can read in the docs [what changed in Photon-HDF5 v0.5](http://photon-hdf5.readthedocs.io/en/0.5.dev/whats_new_ver05.html). Note that despite being "release candidate", the new Photon-HDF5 v0.5 has already been used to publish data of at least 3 publications in 2017.
- **PicoQuant PT3 T3R files**: We added support for reading T3R files and improved PT3 support. New [example notebooks](http://nbviewer.jupyter.org/github/Photon-HDF5/phconvert/tree/master/notebooks/) show how to convert ns-ALEX/PIE files saved in PT3 or T3R files to Photon-HDF5.
- **MyBinder**: after a period of breakage due to migration to a new infrastructure, MyBinder works again. You can try converting files online without any installation by clicking here: [](https://mybinder.org/v2/gh/Photon-HDF5/Photon-HDF5-Converter/master)