TY - JOUR
T1 - Live neuron morphology automatically reconstructed from multiphoton and confocal imaging data
AU - Losavio, Bradley E.
AU - Liang, Yong
AU - Santamaría-Pang, Alberto
AU - Kakadiaris, Ioannis A.
AU - Colbert, Costa M.
AU - Saggau, Peter
PY - 2008/10
Y1 - 2008/10
N2 - 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.
AB - 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.
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U2 - 10.1152/jn.90627.2008
DO - 10.1152/jn.90627.2008
M3 - Article
C2 - 18701753
AN - SCOPUS:57349177834
SN - 0022-3077
VL - 100
SP - 2422
EP - 2429
JO - Journal of Neurophysiology
JF - Journal of Neurophysiology
IS - 4
ER -