An image analysis algorithm for dendritic spines

Koh, I. Y. Y., Lindquist, W. B., Zito, K., Nimchinsky, E. A., Svoboda, K. (June 2002) An image analysis algorithm for dendritic spines. Neural Computation, 14 (6). pp. 1283-1310. ISSN 0899-7667

URL: http://www.ncbi.nlm.nih.gov/pubmed/12020447
DOI: 10.1162/089976602753712945

Abstract

The structure of neuronal dendrites and their spines underlie the connectivity of neural networks. Dendrites, spines, and their dynamics are shaped by genetic programs as well as sensory experience. Dendritic structures and dynamics may therefore be important predictors of the function of neural networks. Based on new imaging approaches and increases in the speed of computation, it has become possible to acquire large sets of high-resolution optical micrographs of neuron structure at length scales small enough to resolve spines. This advance in data acquisition has not been accompanied by comparable advances in data analysis techniques; the analysis of dendritic and spine morphology is still accomplished largely manually. In addition to being extremely time intensive, manual analysis also introduces systematic and hard-to-characterize biases. We present a geometric approach for automatically detecting and quantifying the three-dimensional structure of dendritic spines from stacks of image data acquired using laser scanning microscopy. We present results on the measurement of dendritic spine length, volume, density, and shape classification for both static and time-lapse images of dendrites of hippocampal pyramidal neurons. For spine length and density, the automated measurements in static images are compared with manual measurements. Comparisons are also made between automated and manual spine length measurements for a time-series data set. The algorithm performs well compared to a human analyzer, especially on time-series data. Automated analysis of dendritic spine morphology will enable objective analysis of large morphological data sets. The approaches presented here are generalizable to other aspects of neuronal morphology.

Item Type: Paper
Subjects: organs, tissues, organelles, cell types and functions > cell types and functions > cell types > dendritic cells > dendritic spines
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > dendritic cells > dendritic spines
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > dendritic cells > dendritic spines

Investigative techniques and equipment > imaging
CSHL Authors:
Communities: CSHL labs > Svoboda lab
Depositing User: Matt Covey
Date: June 2002
Date Deposited: 08 Jan 2014 17:06
Last Modified: 08 Jan 2014 17:06
Related URLs:
URI: http://repository.cshl.edu/id/eprint/28730

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