Live neuron morphology automatically reconstructed from multiphoton and confocal imaging data

Bradley E. Losavio, Yong Liang, Alberto Santamaría-Pang, Ioannis A. Kakadiaris, Costa M. Colbert, Peter Saggau

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

We have developed a fully automated procedure for extracting dendritic morphology from multiple three-dimensional image stacks produced by laser scanning microscopy. By eliminating human intervention, we ensure that the results are objective, quickly generated, and accurate. The software suite accounts for typical experimental conditions by reducing background noise, removing pipette artifacts, and aligning multiple overlapping image stacks. The output morphology is appropriate for simulation in compartmental simulation environments. In this report, we validate the utility of this procedure by comparing its performance on live neurons and test specimens with other fully and semiautomated reconstruction tools.

Original languageEnglish (US)
Pages (from-to)2422-2429
Number of pages8
JournalJournal of Neurophysiology
Volume100
Issue number4
DOIs
StatePublished - Oct 2008

ASJC Scopus subject areas

  • Neuroscience(all)
  • Physiology

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