FluoAnalysis

FluoAnalysis analyzes calcium imaging and electrophysiological data, particularly oscillatory signals in astrocytic and neuronal networks.

Key Features:

• Data Loading and ROI Identification: Supports loading of calcium imaging data and identification of regions of interest for analysis.
• Cell Classification: Differentiates between astrocytes and neurons to reveal interactions between the network activity of these two major brain cell types.
• Fluorescence Intensity Calculation: Calculates fluorescence intensity from calcium imaging measurements.
• Spectral Analysis: Emphasizes frequency domain analysis to reveal network-level oscillatory signals linked to single-cell activity, specifically supporting high sampling rate data.
• Report Generation: Generates reports from analyzed data.
• Manual and Automated High-Throughput Analysis: Supports both manual analysis and automated high-throughput processing of large imaging datasets.
• Integrated Electrophysiological Data Analysis: Analyzes simultaneously measured calcium imaging and electrophysiological data.

Scientific Applications:

• Neuronal Network Oscillation Analysis: Reveals network-level oscillatory signals in neuronal populations linked to single-cell activity.
• Astrocytic Network Oscillation Analysis: Reveals network-level oscillatory signals in astrocytic populations linked to single-cell activity.
• Astrocyte-Neuron Interaction Studies: Reveals interactions between the network activity of astrocytes and neurons in the brain.
• In Vivo Calcium Imaging: Supports analysis of neuronal and astrocytic activity measured under in vivo conditions using calcium imaging, especially two-photon imaging.
• In Vitro Calcium Imaging: Supports analysis of neuronal and astrocytic activity measured under in vitro conditions using calcium imaging.
• High-Frequency Calcium Signal Analysis: Enables spectral analysis of calcium signals acquired at high sampling rates from hundreds of cells simultaneously.

Methodology:

The toolbox follows a streamlined workflow comprising data loading, ROI identification, cell classification, fluorescence intensity calculation, spectral analysis, and report generation, with emphasis on frequency domain analysis of simultaneously measured calcium imaging and electrophysiological data.