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Automatic Reconstruction of Dendrite Morphology from Optical Section Stacks

  • S. Urban
  • S. M. O’Malley
  • B. Walsh
  • A. Santamaría-Pang
  • P. Saggau
  • C. Colbert
  • I. A. Kakadiaris
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4241)

Abstract

The function of the human brain arises from computations that occur within and among billions of nerve cells known as neurons. A neuron is composed primarily of a cell body (soma) from which emanates a collection of branching structures (dendrites). How neuronal signals are processed is dependent on the dendrites’ specific morphology and distribution of voltage-gated ion channels. To understand this processing, it is necessary to acquire an accurate structural analysis of the cell. Toward this end, we present an automated reconstruction system which extracts the morphology of neurons imaged from confocal and multi-photon microscopes. As we place emphasis on this being a rapid (and therefore automated) process, we have developed several techniques that provide high-quality reconstructions with minimal human interaction. In addition to generating a tree of connected cylinders representing the reconstructed neuron, a computational model is also created for purposes of performing functional simulations. We present visual and statistical results from reconstructions performed both on real image volumes and on noised synthetic data from the Duke-Southampton archive.

Keywords

Point Spread Function Medial Axis Dendrite Morphology Distance Transform Parseval Frame 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • S. Urban
    • 1
  • S. M. O’Malley
    • 1
  • B. Walsh
    • 1
  • A. Santamaría-Pang
    • 1
  • P. Saggau
    • 2
  • C. Colbert
    • 3
  • I. A. Kakadiaris
    • 1
  1. 1.Dept. of Comp. Sci.Computational Biomedicine LabHouston
  2. 2.Div. of NeuroscienceBaylor College of MedicineHouston
  3. 3.Dept. of Biology & BiochemistryU. of HoustonHouston

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