nGauge

nGauge provides Python-based functions to measure, quantify, and visualize neuron morphology from linear (SWC) and volumetric (soma) reconstructions for quantitative morphometric analysis.

Key Features:

• Robust Quantification: Implements quantitative measurements and metrics to compare neuronal subtypes and animal species.
• Advanced Data Compatibility: Supports SWC linear reconstructions and volumetric constructions such as the soma.
• Extendable Architecture: Defines an extendable data structure that enables custom informatics pipelines and advanced visualizations.
• API Integration: Exposes an application programming interface (API) for integration with other open-source software within analysis workflows.

Scientific Applications:

• Morphometric Comparison: Quantitative comparison of neuronal subtypes and animal species using computed morphological metrics.
• Neuron Tracing Analysis: Parsing and analysis of neuron tracing results from linear and volumetric reconstructions.
• Custom Pipeline Development: Construction of custom informatics pipelines and generation of advanced visualizations from morphological data.

Methodology:

Provides a lightweight Python framework that handles both linear (SWC) and volumetric neuronal reconstructions by defining an extendable data structure to ensure compatibility with morphological data formats.