Data Loader

Open or create a database, then import SWC files to begin analyzing dendritic structures

Get Started

Open an existing database or create a new one to begin working with your neurons

Open Existing Database

Load neurons from a previously saved SQLite database with full metadata

Create New Database

Create a new empty SQLite database, then import SWC files from directories

Hexplot Viewer

Visualize eigenvalue distributions in hexagonal space

Directory:

Compartment Mode

Plot eigenvalue distributions as points in hexagonal space. For eigenvalue curve trajectories, use the Persistent Quadric Viewer.

Plot Configuration

Data Filters (select multiple)

Load database to see options
Load database to see options
Load database to see options

Visualization

Click "Generate Plot" to visualize eigenvalue distribution

Generating plot...

Persistent Quadric Viewer

Visualize eigenvalue curve trajectories from database

Directory:

Database

Select Neurons (0 selected)

Load a database to see neurons

Compartment Mode

Plot Type

Eigencurves: Plot λ1, λ2, λ3 separately vs path distance
Hexplot: Plot trajectory in hexagonal eigenvalue space

View Mode

Display Options


Shows all compartments with distinct colors

Visualization

Select neurons from the list and click "Generate Plot" to visualize eigenvalue curves

3D Dendritic Viewer

Interactive 3D visualization of dendritic structures

File:

Select File

Compartment Selection

Select a compartment to view only that part, or "Full Structure" for the complete neuron

Visualization

3D Viewer Controls:
Left Click + Drag: Rotate view
Right Click + Drag: Pan (move) view
Middle Click + Drag: Pan (alternative)
Mouse Wheel: Zoom in/out

3D Visualization

Select an SWC file and click "Load 3D Structure"

Loading structure...

Data Explorer

Analyse dendritic structure properties

File:

Select File

Compartment Mode

Display Options

Neuroscience Analysis Tools

Compare with another file:

Select an SWC file to analyse

Selected Vertex

ID: -
Type: -
Position: -

Subtree Statistics

-
Vertices
-
Edges
-
Terminal Points
-
Branch Points

Geometry

Total Length: -
Avg Edge Length: -
Max Path Distance: -
Depth: -

Quadric Eigenvalues

Edge Quadric
-

Visualization

Subtree Structure

The subtree is highlighted in the 3D viewer. Use the checkbox in the left panel to toggle the highlight.

Vertices in Subtree

ID X Y Z Type

Morphological Properties

Branching Ratio
-
Avg Branch Length
-
Strahler Number
-
Partition Asymmetry
-

Settings

Configure metadata fields and application preferences

Metadata Fields

Configure which metadata fields are available for neurons in this database. Built-in fields can be enabled/disabled but not deleted.

Application Logs

Configure logging level and manage application logs.

Debug and Trace levels produce more detailed output

Session logs older than this are deleted on startup

Visualization

Complement: perpendicular to edge, eigenvalues (L, L, 0). Direction: along edge, eigenvalues (L, 0, 0)

Use transparent for exporting plots with no background

Metadata Field Configuration

Metadata fields allow you to store additional information about each neuron, such as species, brain region, cell type, and experimental conditions.

  • Built-in fields (species, brain_region, etc.) can be enabled or disabled but not deleted.
  • Custom fields can be created, modified, and deleted as needed.
  • Select type fields provide a dropdown with predefined options.
  • Required fields must be filled when creating or editing neurons.

Click on a field in the list to edit it, or use the "Add Custom Field" button to create a new one.

No File Selected

Select a file from the Data Loader, 3D Viewer, or Data Explorer, then switch here to see detailed analysis.

Population Comparison

Select and compare groups of neurons based on metadata criteria

Define Populations

Create populations by filtering neurons based on metadata fields.

Analysis Options

Population Comparison Summary

Define populations and run analysis to see results.

Top Discriminating Features

Features with largest effect sizes will appear here.

Multidimensional Scaling (MDS)

Run analysis to generate MDS plot.

Hierarchical Clustering Dendrogram

Run analysis to generate dendrogram.

Dissimilarity Matrix

Run analysis to generate heatmap.