Software for analysis of sequential imaging data
Project description
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
pillow >= 2.6.1
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:
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/>.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for sima-1.0.3-py2.7-linux-x86_64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | b326786aad65fdcb0d95293372c6b78907ff6e987f096fa1e94dac3b03ba5b06 |
|
MD5 | 51658fb0ba703fcea438944dd3579f73 |
|
BLAKE2b-256 | 9d6633406ae217c0c9f135ffd3bb03adab23572847b453596d10c4a8ce73bd89 |
Hashes for sima-1.0.3-cp27-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e14edcc74d4405e94883c61475bfc80d5321d3ae0a48620aa4f79a52855e48b4 |
|
MD5 | 4c815f0734f4bb9584bcbe2c83702f78 |
|
BLAKE2b-256 | 0bac318df1b57fde2f1ac7636db1f3b2f363d19c0614cfa0db651b4e52735673 |
Hashes for sima-1.0.3-cp27-none-macosx_10_8_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8d18f0278235d4ac33207c270c67227c6a0aaa70632c45472b8013cb89d71ff6 |
|
MD5 | b21e19cc8ecf8a13419ad716bb50d56f |
|
BLAKE2b-256 | d3f9e031deec7df30479f72b8b608c897beaf725fa7b9a373b91004146099652 |