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

The Axon Viewer ingests neuron morphology records and provides a concise, structured representation of axon architecture. It converts raw measurement fields into standardized descriptors, enabling researchers to inspect diameter distributions, total process length, and branching density without scripting. The tool supports multiple datasets, filters by species or brain region, and returns a consistent summary that aligns with common neuroscience conventions for morphology reporting.
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

  1. Provide inputs: dataset_id, optional species and range filters.
  2. Choose metrics: select diameter, length, and branching options.
  3. Run analysis: execute computations over the selected dataset.
  4. Review outputs: inspect metrics, histogram, and export options.
  5. Export results: download CSV/JSON and any supporting summaries.
  6. (Optional) Integrate: access API endpoints for notebook workflows.
How to use axon viewer

Frequently Asked Questions

Find Quick Answers

What data formats are supported?
The tool accepts standard morphology records with numeric diameter_um and length_um fields, plus optional topology or branch_count fields. CSV and JSON schemas are supported; invalid formats raise a precise validation error and guidance for correction is returned.
Can I compare across species?
Yes. Species tagging allows cross-species comparisons. Metrics can be normalized when requested, and filters can be applied to region or dataset to ensure meaningful comparisons across samples.
Is the tool offline or online?
The core analytics engine supports both server-side and client-side deployments. Data privacy is preserved per deployment, and exports enable local storage. Online usage does not require keeping data in a shared repository.
What outputs are produced?
Primary outputs include a metrics object (mean/median diameter_um, total_length_um, branch_points, neuron_count), optional histogram data, and exportable CSV/JSON files for downstream analysis or notebook integration.

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