NeuronCyto II

NeuronCyto II performs automatic quantification of neuronal morphology to assign neurites to somata accurately and extract neurite metrics for neurobiology research.

Key Features:

• Automated quantification: Automates measurement of neurite number, length, branching, and morphological complexity from microscopy images.
• Crossover resolution using directed graph theory: Resolves neurite-to-soma assignment in intersecting or overlapping neurites (the "crossover" problem) using directed graph theory to improve assignment accuracy.
• High-throughput and 4D imaging support: Operates on large image datasets including High Throughput Screening (HTS) and 4D time-lapse imaging for batch morphological analyses.
• Quantitative feature extraction: Produces numerical morphological features suitable for statistical analysis and downstream processing.

Scientific Applications:

• Neuronal morphology analysis: Enables quantitative characterization of neurite architecture to study neuronal development and connectivity.
• High-throughput phenotyping: Supports large-scale screening and time-resolved analyses in HTS and 4D experiments.
• Neurodegeneration and drug discovery: Facilitates assessment of structural changes in models of neurodegenerative disease and evaluation of compound effects.

Methodology:

Implements directed graph theory to resolve neurite crossovers and assign neurites to corresponding cell bodies.