Axon Viewer
A visualization and analysis tool for researchers and students to inspect axon datasets, compute metrics, and compare morphology across samples.
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About This Tool
Conceptually, the workflow includes data ingestion, validation, feature extraction, and metric computation. Diameters are summarized with mean and median values; total axon length is computed from length_um or reconstructed skeletons; branching density is quantified as the number of branch points per neuron. Optional routines generate histograms and normalize results across datasets to enable fair comparisons.
Audience and value: neuroscience labs, graduate students, and educators gain rapid, reproducible insights that support hypothesis testing and teaching. Unique differentiators include cross-species tagging, deterministic filtering, and exportable results that integrate with notebooks and data pipelines. The tool emphasizes domain accuracy and interoperability rather than decorative visuals.
Core features include robust data validation, configurable ranges, multi-dataset comparisons, and standard export formats. Use cases span quality control, comparative neuroanatomy studies, and curriculum demonstrations. By producing explicit metrics and structured outputs, it reduces ad hoc analysis time and enhances collaboration.
How to Use
- Provide inputs: dataset_id, optional species and range filters.
- Choose metrics: select diameter, length, and branching options.
- Run analysis: execute computations over the selected dataset.
- Review outputs: inspect metrics, histogram, and export options.
- Export results: download CSV/JSON and any supporting summaries.
- (Optional) Integrate: access API endpoints for notebook workflows.
Frequently Asked Questions
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What data formats are supported?
Can I compare across species?
Is the tool offline or online?
What outputs are produced?
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