JN Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
QUICK SEARCH:   [advanced]


     

J Neurophysiol (November 10, 2004). doi:10.1152/jn.00761.2004
This Article
Right arrow Full Text (PDF)
Right arrow Supplemental Movie
Right arrow All Versions of this Article:
93/4/2331    most recent
00761.2004v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Evers, J. F.
Right arrow Articles by Duch, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Evers, J. F.
Right arrow Articles by Duch, C.
Submitted on July 26, 2004
Accepted on November 5, 2004

Progress in functional neuroanatomy: precise automatic geometric reconstruction of neuronal morphology from confocal image stacks

Jan Felix Evers1*, Stephan Schmitt2, Michael Sibila2, and Carsten Duch1

1 Institute of Biology, Free University of Berlin, Berlin, Germany
2 Institute of Informatics, Technical University of Berlin, Berlin, Germany

* To whom correspondence should be addressed. E-mail: fevi{at}zedat.fu-berlin.de.

Dendritic architecture provides the structural substrate for myriads of input and output synapses in the brain and for the integration of presynaptic inputs. Understanding mechanisms of evolution and development of neuronal shape and its respective function are thus formidable problems in neuroscience. A fundamental prerequisite for finding answers is a precise quantitative analysis of neuronal structure in situ and in vivo. Therefore we have developed a tool set for automatic geometric reconstruction of neuronal architecture from stacks of confocal images. It provides exact midlines, diameters, surfaces, volumes and branch point locations, and allows analysis of labeled molecule distribution along neuronal surfaces as well as direct export into modeling software. We demonstrate the high accuracy of geometric reconstruction and show the analysis of putative input synapse distribution throughout entire dendritic trees from in situ light microscopy preparations as a possible application. The binary version of the reconstruction module is downloadable at no cost.




This article has been cited by other articles:


Home page
 J. Neurophysiol.Home page
C. Duch, F. Vonhoff, and S. Ryglewski
Dendrite Elongation and Dendritic Branching Are Affected Separately by Different Forms of Intrinsic Motoneuron Excitability
J Neurophysiol, November 1, 2008; 100(5): 2525 - 2536.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
B. E. Losavio, Y. Liang, A. Santamaria-Pang, I. A. Kakadiaris, C. M. Colbert, and P. Saggau
Live Neuron Morphology Automatically Reconstructed From Multiphoton and Confocal Imaging Data
J Neurophysiol, October 1, 2008; 100(4): 2422 - 2429.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
R. Okada, J. Rybak, G. Manz, and R. Menzel
Learning-Related Plasticity in PE1 and Other Mushroom Body-Extrinsic Neurons in the Honeybee Brain
J. Neurosci., October 24, 2007; 27(43): 11736 - 11747.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Visit Other APS Journals Online
Copyright © 2004 by the The American Physiological Society.