Version 0.9

Important: This version drops support for Python 2.7. Python 2.7 is approaching end of life and we have no resources to keep supporting it. If you need to run Python 2.7, you can keep using phconvert 0.8.2 or you can pay a developer to support it.

This version improves supports for loading PicoQuant files:

• Added support for decoding rtHydraHarpT3 PTU files
• Improvements in metadata decoding of HT3 and PT3 files
• Loading of ns-ALEX measurement from PTU, HT3 or PT3 files now can be done with a single function (phc.loader.nsalex_pq)

Release sponsored by Prof. Eitan Lerner

Version 0.8.2

Minor release:

Fix a packaging issue for PIP users that caused an error on import due to missing metadata file.

Version 0.8.1

Minor release with improved file validation.

• More stringent validation checks (commit d463b42)
• Add subpackage phconvert.v04 to load and validate Photon-HDF5 v0.4
• Fix validation with strict_description = False. Before this change
  descriptions checks were not disabled completely when using strict_description = False.
• Check that arrays in /photon_data are strictly 1D (commit 2dde57b).

Version 0.8

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. 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 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:

Version 0.7.3

What's New?

• Add support for PicoQuant PTU files (for the following t3records formats: rtPicoHarpT3, rtHydraHarp2T3, rtTimeHarp260NT3, rtTimeHarp260PT3)
• Add unit test for pqreader.py module
• Run bhreader's and pqreader's unit tests on CI services (AppVeyor and TravisCI)

Version 0.7.2

What's New?

• Fix an error when using require_setup=False and the setup group is missing in the input data.
  See 3514a02.

Version 0.7.1

What's new?

• Add support for reading Becker & Hickl SPC from SPC-134/144/154/830
• Documentation fixes
• From now on conda packages will be built and hosted by conda-forge. As a results you can install phconvert with conda install phconvert -c conda-forge.

Many thanks to @lampo808 for adding the SPC support!

Version 0.7

What's New?

File decoding

• Improved reader for Becker & Hickl SPC files, now more metadata is automatically retrieved.
• Add support for decoding PicoQuant PT3 files

Testing

• Add support for Continuous Integration. phconvert notebooks are now automatically executed on each commit on windows (AppVeyor) and linux (Travis CI) on python 2.7, 3.4 and 3.5.

Docs

• Improved reference documentation now including bhreader docs (read Becker & Hickl files) and an improved pqreader docs (read PicoQuant files).

Version 0.6.9 - The Christmas Release!

What's new?

• Fix a runtime error when saving Photon-HDF5 files under python 2 (issue #9 and PR #10).
• Fix error message when input file HT3 was not found (bb03cf3)
• Notebook updates

Version 0.6.8

What's new?

Small fixes and improvements:

• Add option to allow missing setup group (both saving and validation) b35e6d0
• Better handle input for array fields (e.g. detectors_specs) in a variety of formats (tuple, list, array with ndim=0, array with ndim=1): 1ad5ca9 and e07ddba.
• Runtime error fix: d7fff76
• Documentation improvements