umIT

umIT analyzes large-scale imaging datasets to facilitate robust comparisons across regions, groups, and time points in mesoscale neuroscience research.

Key Features:

• Comprehensive Workflow: Supports a streamlined workflow for analyzing complex, multiparameter mesoscale imaging datasets.
• Graphical User Interface: Provides accessible interaction with mesoscale data through an intuitive graphical interface.
• Command-Line Interface: Enables scripted and automated analysis via command-line access.
• Standalone Operation: Eliminates the need for third-party software dependencies.
• Longitudinal Analysis: Facilitates comparisons across multiple time points for longitudinal studies.

Scientific Applications:

• Mesoscale Calcium Imaging: Analyzes wide-field optical calcium imaging data to measure cortical responses and functional connectivity.
• Cortical Map Analysis: Enables investigation of cortical maps at the intermediate mesoscopic spatial scale.
• Cross-Group Comparisons: Supports robust statistical comparisons across experimental groups and brain regions.

Methodology:

umIT is implemented as a MATLAB-based platform.