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/>.
Metadata
Release files for sima 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distributions (sdists)
| File | Size | Uploaded | |
|---|---|---|---|
| sima-1.0.0.zip | 2.8 MB | Details | |
| sima-1.0.0.tar.gz | 2.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sima-1.0.0-py2.7-linux-x86_64.egg | Legacy Egg format | - | - | Details |
Total release size: 8.5 MB
Release files / sima-1.0.0.zip
| Download URL | sima-1.0.0.zip |
|---|---|
| Size | 2.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
Release files / sima-1.0.0.tar.gz
| Download URL | sima-1.0.0.tar.gz |
|---|---|
| Size | 2.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / sima-1.0.0-py2.7-linux-x86_64.egg
| Download URL | sima-1.0.0-py2.7-linux-x86_64.egg |
|---|---|
| Size | 2.9 MB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
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