CaPTure

CaPTure analyzes high-throughput calcium imaging recordings to quantify single-cell neuronal activity in hiPSC- and rodent-derived neuronal cultures.

Key Features:

• Scalable automated calcium imaging analysis: Implements a fully automated calcium imaging analysis pipeline that processes large datasets at single-cell resolution and enables comparisons across neuronal lines, developmental timepoints, and pharmacological conditions.
• Neuron detection and classification: Includes algorithms to detect neurons within imaging datasets and classify cells based on activity patterns for quantification of spontaneous neural activity.
• Synchrony and network metrics: Computes synchrony metrics and generates cell- and network-specific metrics to characterize neuronal network dynamics.
• Compatibility with imaging systems: Operates with data from various imaging systems to accommodate different experimental setups.
• Parallel processing on computing clusters: Supports parallel processing on computing clusters to handle large-scale datasets efficiently.

Scientific Applications:

• High-throughput phenotypic screening: Enables screening of neuronal phenotypes across multiple lines and conditions using single-cell activity measures.
• Developmental neuroscience: Facilitates analysis of developmental changes in neuronal activity across timepoints.
• Pharmacological studies: Quantifies effects of pharmacological perturbations on spontaneous and network activity.
• Human–rodent comparative studies and phenotypic discovery: Applicable to hiPSC-derived human neurons and rodent neurons for comparative analyses and identification of phenotypic variations and potential therapeutic targets.

Methodology:

Automated calcium imaging analysis pipeline with algorithms for neuron detection and classification based on activity patterns, quantification of spontaneous neural activity, computation of synchrony and cell- and network-specific metrics, and support for parallel processing on computing clusters.