A fast 3-dimensional neuronal tree reconstruction system that uses cubic polynomials to estimate dendritic curvature - PubMed (original) (raw)
A fast 3-dimensional neuronal tree reconstruction system that uses cubic polynomials to estimate dendritic curvature
E Wolf et al. J Neurosci Methods. 1995 Dec.
Abstract
The main goal of this work was to develop and test the accuracy of our 3DARBOR neuronal tree reconstruction system by comparing it with a very precise but time-consuming method of reconstruction (NEUTRACE). Comparison was performed by reconstructing 18 dendritic trees of frog spinal motoneurons from serial sections with both methods and comparing several morphological summaries of the two reconstructions. In 3DARBOR the planar projection of the dendritic trees was drawn and fed into an IBM-compatible PC through a graphic tablet. Dendritic coordinates along the perpendicular (focus) axis on the plane of drawing were estimated by an interpolation method. The interpolation was based on the lengths of projected dendrites and the coordinates of points where dendrites entered the next section. Focus axis coordinates of these points could automatically be calculated from the serial numbers and thicknesses of sections. 3DARBOR was tested by comparison of the distributions of characteristic points of dendritic trees, segment lengths and branching angles. Product moment analysis on dendritic trees was also performed. It was concluded that 3DARBOR is a fast enough reconstruction system without any systematical error of interpolation that can correctly supply the most morphological parameters and visualize the natural arborizations.
Similar articles
- Morphometric descriptors and cable modelling of dendritic arborizations based on 3-dimensional reconstructions.
Wolf E, Birinyi A, Puskár Z. Wolf E, et al. Acta Biol Hung. 1996;47(1-4):427-39. Acta Biol Hung. 1996. PMID: 9124012 - A system for quantitative morphological measurement and electronic modelling of neurons: three-dimensional reconstruction.
Stockley EW, Cole HM, Brown AD, Wheal HV. Stockley EW, et al. J Neurosci Methods. 1993 Apr;47(1-2):39-51. doi: 10.1016/0165-0270(93)90020-r. J Neurosci Methods. 1993. PMID: 8321013 - New methods for the computer-assisted 3-D reconstruction of neurons from confocal image stacks.
Schmitt S, Evers JF, Duch C, Scholz M, Obermayer K. Schmitt S, et al. Neuroimage. 2004 Dec;23(4):1283-98. doi: 10.1016/j.neuroimage.2004.06.047. Neuroimage. 2004. PMID: 15589093 - Generation, description and storage of dendritic morphology data.
Ascoli GA, Krichmar JL, Nasuto SJ, Senft SL. Ascoli GA, et al. Philos Trans R Soc Lond B Biol Sci. 2001 Aug 29;356(1412):1131-45. doi: 10.1098/rstb.2001.0905. Philos Trans R Soc Lond B Biol Sci. 2001. PMID: 11545695 Free PMC article. Review. - Measures for quantifying dendritic arborizations.
Uylings HB, van Pelt J. Uylings HB, et al. Network. 2002 Aug;13(3):397-414. Network. 2002. PMID: 12222821 Review.
Cited by
- Total number and ratio of excitatory and inhibitory synapses converging onto single interneurons of different types in the CA1 area of the rat hippocampus.
Gulyás AI, Megías M, Emri Z, Freund TF. Gulyás AI, et al. J Neurosci. 1999 Nov 15;19(22):10082-97. doi: 10.1523/JNEUROSCI.19-22-10082.1999. J Neurosci. 1999. PMID: 10559416 Free PMC article. - Neuronal morphology goes digital: a research hub for cellular and system neuroscience.
Parekh R, Ascoli GA. Parekh R, et al. Neuron. 2013 Mar 20;77(6):1017-38. doi: 10.1016/j.neuron.2013.03.008. Neuron. 2013. PMID: 23522039 Free PMC article. Review. - Axonal morphometry of hippocampal pyramidal neurons semi-automatically reconstructed after in vivo labeling in different CA3 locations.
Ropireddy D, Scorcioni R, Lasher B, Buzsáki G, Ascoli GA. Ropireddy D, et al. Brain Struct Funct. 2011 Mar;216(1):1-15. doi: 10.1007/s00429-010-0291-8. Epub 2010 Dec 3. Brain Struct Funct. 2011. PMID: 21128083 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources