NeuroEditor

NeuroEditor visualizes and edits neuronal morphologies through manual editing capabilities and automated error correction algorithms.

Key Features:

• Automated Error Detection: Algorithms automatically detect potential errors in neuronal tracings.
• Interactive Error Exploration: Users explore errors with a mouse click for manual or automatic correction.
• Automatic Correction Proposals: The tool proposes actions to automatically correct particular error types.
• Tracing Visualization and Comparison: Users visualize and compare original and modified tracings.
• 3D Mesh Generation: A 3D mesh approximating the neuronal membrane is computed and recomputed on-the-fly to reflect instantaneous changes during editing.
• Custom Algorithm Extension: Users program custom algorithms in Python and run them within the tool.
• Customized Workflow Definition: Users define workflows by applying sequences of editing operations.

Scientific Applications:

• Neuronal Morphology Correction: Post-processing of reconstructed neuronal tracings to ensure extracted data accuracy.
• Neuronal Anatomy Study: Supporting acquisition and analysis of detailed neuron anatomy from microscopy data.
• Structural and Functional Neuroscience Research: Facilitating investigation of structural and functional aspects of the brain and nervous system.

Methodology:

NeuroEditor implements automated algorithms for error detection in neuronal tracings, provides interactive manual and automatic correction capabilities, generates 3D mesh approximations of neuronal membranes through on-the-fly computation, and supports user-defined Python algorithms.