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

• Python 2.7

• numpy >= 1.6.2

• scipy >= 0.13.0

• scikit-image >= 0.9.3

• scikit-learn >= 0.11

• shapely >= 1.2.14 (Windows users: be sure to install from Christophe Gohlke’s built wheels)

• pillow >= 2.6.1

• future

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:

• Cython

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/>.