FLIMfit

An open source package for rapid analysis of large FLIM datasets. For further information please see:

Warren SC, Margineanu A, Alibhai D, Kelly DJ, Talbot C, et al. (2013) Rapid Global Fitting of Large Fluorescence Lifetime Imaging Microscopy Datasets. PLoS ONE 8(8): e70687. http://dx.plos.org/10.1371/journal.pone.007068

Latest versions and binary executables

For the latest version, binary executables and further documentation please visit http://www.flimfit.org

The binary executables do not require MATLAB.

The source code repository is available at: https://github.com/imperial-photonics/FLIMfit/

Support

If you have issues installing or running this software, please contact us via the FLIMfit users mailing list at http://lists.openmicroscopy.org.uk/mailman/listinfo/flimfit-users

Compling and running FLIMfit

This software has been extensively tested on Windows 7 with Matlab 2014b using Visual Studio 2012, It has been shown to compile under MacOS X with both XCode 4 and Homebrew GCC4.7 and under Linux with GCC 4.7.

If you wish to compile the package from source please follow these instructions which assume a Windows platform.

Required Packages

• CMake 2.8.10 http://www.cmake.org/
• Visual Studio 2014 http://www.microsoft.com/visualstudio/eng/downloads
• MATLAB 2015b http://www.mathworks.co.uk/products/matlab/
• Boost 1.5.1 http://www.boost.org/users/history/version_1_51_0.html

Compiling

1. Use CMake to generate a Visual Studio Project in a folder such as: GeneratedProjects\MSVC11_64

2. Compile the generated solution in Visual Studio

Running FLIMfit from MATLAB

1. In MATLAB, ensure you have setup the MATLAB compiler by typing mex -setup and following the instructions

2. Set your working directory to FLIMfitFrontEnd\

3. Start the UI by typing FLIMfit

4. See the online instructions for usage