This documentation is for the older Mesmerize legacy desktop application. Please see the home page or GitHub repo for information on the latest packages. https://github.com/kushalkolar/MESmerize
Mesmerize is a platform for the annotation and analysis of neuronal calcium imaging data. It encompasses the entire process of calcium imaging analysis from raw data to semi-final publication figures that are interactive, and aids in the creation of FAIR-functionally linked datasets. It is applicable for a broad range of experiments and is intended to be used by users with and without a programming background.
Share your analysis pipelines and figures along with your publication
Explore image sequences, and use various modules for pre-processing and signal-extraction. Annotate regions of interest with any relevant information. Map stimuli/behavior periods.
Mesmerize contains front-end GUI modules for the CaImAn library. This makes it very easy for users without a programming background to use the library.
CaImAn Elastic Motion Correction
Computationally intense procedures performed can be organized with the Mesmerize Batch Manager.
Explore project data and create experimental groups.
Data analysis - pyqtgraph programmable flowcharts.¶
Build your own analysis piplines using flowcharts.
Create shareable interactive plots where the analysis history of every datapoint is traceable. Explore information associated with a datapoint, such as the spatial localization of its parent ROI and raw data.
Interactive Cross-correlation analysis
Other types of plots: Beeswarm, Violins, KShape, Proportions, Scatter