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SIMA: sequential image analysis¶

Release:	1.3.2
Date:	September 08, 2016
Email:	software@losonczylab.org
Forum:	https://groups.google.com/forum/#!forum/sima-users
GitHub:	https://github.com/losonczylab/sima

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

Citing SIMA¶

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

Kaifosh P, Zaremba JD, Danielson NB, 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.

Indices and tables¶