Neurolucida Explorer

The Neurolucida Explorer is an analytical software designed to complement Neurolucida and Neurolucida 360. It facilitates detailed morphometric analysis of neuron reconstructions, serial section reconstructions, and brain maps. With an intuitive interface, it allows users to visualize and interpret data models in a 3D environment, automatically generating comprehensive quantitative metrics.

This software offers a range of structural, spatial, orientation, and regional analyses, enabling researchers to explore and export numerous parameters. Neurolucida Explorer supports the generation of publication-ready figures through its graphical 3D displays and offers batch analysis tools for processing multiple files efficiently.

Key Benefits

• Advanced tools for neuroanatomical morphometric analyses.
• Accurate, reliable, and reproducible results.
• Easy generation and export of quantitative data.

Quantitative Neuroanatomical Analysis Features

Neurolucida Explorer allows for the quantitative analysis of neuronal morphology, including branch structures such as trees, terminals, segments, nodes, synapses, and spines. You can measure branch angles and analyze vertex connectivity and dendrogram structures.

It also enables anatomical region analysis to determine proximity, tangential distribution, and closed surface measurements within 3D structures.

Spatial Relationship Analysis

Features like 3D wedge, convex hull, and layer length enable analysis of neuronal processes' distribution. Sholl analysis quantifies neuron branching, and wedge analysis measures growth or retraction of dendritic processes.

Orientation and Punctate Object Analysis

Tools such as polar histograms, fan-in diagrams, and colocalization are available to explore neuronal elements' orientation, while analyses on punctate objects enable detailed measurements on various features detected in Neurolucida 360.

The software also supports batch analysis, removing the need for complex programming and enabling researchers to efficiently analyze multiple datasets. Data can be exported in various formats for further analysis in software like Excel, Matlab, Python, and R.

Minimum System Requirements

Operating System: Windows 11 or MacOS 10.12. Supported image file formats include XML, ASC, or DAT from Neurolucida or Neurolucida 360, with outputs available in several data, vector, image, and marker coordinate formats.