File	Date	Author	Commit
PYME	2018-09-21	David Baddeley	[700456] merge
clusterUI	unknown
conda-recipes	unknown
doc	unknown
osxLaunchers	2017-02-16	David Baddeley	[57becf] annotation tweaks
pymecompress	unknown
tests	unknown
.cvsignore	unknown
.hgignore	2018-09-19	David Baddeley	[85abc9] merge
.hgtags	2015-02-17	David Baddeley	[5837f3] Added tag 15.2.17 for changeset 7d9479c2f336
ACQUIRE_DEPS.txt	unknown
CREDITS	unknown
README	2016-12-29	Christian Soeller	[afbd10] Merge with default
buildCondaPackage.py	2018-07-17	David Baddeley	[1752c5] build improvements/bugfixes, change to using pi...
buildCondaPackage_noup.py	2018-07-23	David Baddeley	[8d64a4] test fixes;
construct.yaml	unknown
post-install-fixscripts.sh	2017-02-06	Christian Soeller	[e638aa] os x fixscript update
run_tests.sh	2018-07-23	David Baddeley	[0e4ddd] testing fixes
run_tests_27.sh	unknown
run_tests_36.sh	2018-07-19	David Baddeley	[46ed3b] changed results passing in fits to keep tests h...
setup.py	2018-09-19	David Baddeley	[85abc9] merge

Read Me

**PYME-Exeter**

This is a fork of the python-microscopy project (http://bitbucket.org/david_baddeley/python-microscopy) (by David Baddeley) that has in addition to David's original code a branch with local changes from work in my lab at the University of Exeter.

There is not too much new or different material here, some different hardware backends and changes we required to make certain things work. I maintain this repo to facilitate code exchange between David's and my copies of the repository. On a semi-regular basis David's code gets folded into this fork.

For more info see the project website at [http://www.python-microscopy.org].

For installation instructions see [http://www.python-microscopy.org/doc/Installation/InstallationWithAnaconda.html]

To view the documentaion see [http://www.python-microscopy.org/doc/index.html].

Info excerpt on PYME from David's ReadMe:

*The PYthon Microscopy Environment provides image acquisition and data analysis functionality for a number of widefield microscopy applications, but with a particular emphasis on single molecule localisation microscopy (PALM/STORM). The package is multi platform, running on Windows, Linux, and OSX.*