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Updated: Jul 13, 2026
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
A system for quantitative morphological measurement and electronic modelling of neurons: three-dimensional
E W Stockley1, H M Cole, A D Brown
1Department of Physiology and Pharmacology, University of Southampton, UK.
Abstract:
A system for accurately reconstructing neurones from optical sections taken at high magnification is described. Cells are digitised on a 68000-based microcomputer to form a database consisting of a series of linked nodes each consisting of x, y, z coordinates and an estimate of dendritic diameter. This database is used to generate three-dimensional (3-D) displays of the neurone and allows quantitative analysis of the cell volume, surface area and dendritic length. Images of the cell can be manipulated locally or transferred to an IBM 3090 mainframe where a wireframe model can be displayed on an IBM 5080 graphics terminal and rotated interactively in real time, allowing visualisation of the cell from all angles. Space-filling models can also be produced. Reconstructions can also provide morphological data for passive electrical simulations of hippocampal pyramidal cells.
