title: Live neuron morphology automatically reconstructed from multiphoton and confocal imaging data.
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.
authors.affiliation: Department of Neuroscience, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
authors.forename: Bradley E
authors.initials: BE
authors.lastname: Losavio
authors.forename: Yong
authors.initials: Y
authors.lastname: Liang
authors.forename: Alberto
authors.initials: A
authors.lastname: Santamaría-Pang
authors.forename: Ioannis A
authors.initials: IA
authors.lastname: Kakadiaris
authors.forename: Costa M
authors.initials: CM
authors.lastname: Colbert
authors.forename: Peter
authors.initials: P
authors.lastname: Saggau
mesh_terms: D000818:Animals; D002196:Capillaries / Q000502:physiology / Q000648:ultrastructure; D003198:Computer Simulation; D003712:Dendrites / Q000502:physiology / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods*; D009474:Neurons / Q000502:physiology* / Q000648:ultrastructure*; D017966:Pyramidal Cells / Q000502:physiology / Q000648:ultrastructure; D051381:Rats; D017207:Rats, Sprague-Dawley; D013569:Synapses / Q000502:physiology