Skip to content
/ sima Public
forked from losonczylab/sima

Python package for analysis of dynamic fluorescence microscopy data

License

Notifications You must be signed in to change notification settings

csn92/sima

 
 

Repository files navigation

https://travis-ci.org/losonczylab/sima.svg?branch=master https://ci.appveyor.com/api/projects/status/q3bgxcoget1xef33/branch/master?svg=true https://coveralls.io/repos/losonczylab/sima/badge.png

Overview

SIMA (Sequential IMage Analysis) is an Open Source package for analysis of time-series imaging data arising from fluorescence microscopy. The functionality of this package includes:

  • correction of motion artifacts
  • segmentation of imaging fields into regions of interest (ROIs)
  • extraction of dynamic signals from ROIs

The included ROI Buddy software provides a graphical user interface (GUI) supporting the following functionality:

  • manual creation of ROIs
  • editing of ROIs resulting from automated segmentation
  • registration of ROIs across separate imaging sessions

Installation and Use

For complete documentation go to <http://www.losonczylab.org/sima>

Dependencies

Optional dependencies

  • OpenCV >= 2.4.8, required for segmentation, registration of ROIs across multiple datasets, and the ROI Buddy GUI
  • h5py >= 2.2.1 (2.3.1 recommended), required for HDF5 file format
  • bottleneck >=0.8, for faster calculations
  • matplotlib >= 1.2.1, for saving extraction summary plots
  • mdp, required for ICA demixing of channels

If you build the package from source, you may also need:

Citing SIMA

If you use SIMA for your research, please cite the following paper in any resulting publications:

Kaifosh P, Zaremba J, Danielson N, and Losonczy A. SIMA: Python software for analysis of dynamic fluorescence imaging data. Frontiers in Neuroinformatics. 2014 Aug 27; 8:77. doi: 10.3389/fninf.2014.00077.

License

Unless otherwise specified in individual files, all code is

Copyright (C) 2014 The Trustees of Columbia University in the City of New York.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.

About

Python package for analysis of dynamic fluorescence microscopy data

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 98.0%
  • Makefile 1.1%
  • Other 0.9%