title: Automated Sholl analysis of digitized neuronal morphology at multiple scales: Whole cell Sholl analysis versus Sholl analysis of arbor subregions.
abstract: The morphology of dendrites and the axon determines how a neuron processes and transmits information. Neurite morphology is frequently analyzed by Sholl analysis or by counting the total number of neurites and branch tips. However, the time and resources required to perform such analysis by hand is prohibitive for the processing of large data sets and introduces problems with data auditing and reproducibility. Furthermore, analyses performed by hand or using course-grained morphometric data extraction tools can obscure subtle differences in data sets because they do not store the data in a form that facilitates the application of multiple analytical tools. To address these shortcomings, we have developed a program (titled "Bonfire") to facilitate digitization of neurite morphology and subsequent Sholl analysis. Our program builds upon other available open-source morphological analysis tools by performing Sholl analysis on subregions of the neuritic arbor, enabling the detection of local level changes in dendrite and axon branching behavior. To validate this new tool, we applied Bonfire analysis to images of hippocampal neurons treated with 25 ng/ml brain-derived neurotrophic factor (BDNF) and untreated control neurons. Consistent with prior findings, conventional Sholl analysis revealed that global exposure to BDNF increases the number of neuritic intersections proximal to the soma. Bonfire analysis additionally uncovers that BDNF treatment affects both root processes and terminal processes with no effect on intermediate neurites. Taken together, our data suggest that global exposure of hippocampal neurons to BDNF results in a reorganization of neuritic segments within their arbors, but not necessarily a change in their number or length. These findings were only made possible by the neurite-specific Sholl data returned by Bonfire analysis.
authors.affiliation: Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA.
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Langhammer
authors.forename: Michelle L
authors.initials: ML
authors.lastname: Previtera
authors.forename: Eric S
authors.initials: ES
authors.lastname: Sweet
authors.forename: Simranjeet S
authors.initials: SS
authors.lastname: Sran
authors.forename: Maxine
authors.initials: M
authors.lastname: Chen
authors.forename: Bonnie L
authors.initials: BL
authors.lastname: Firestein
mesh_terms: D000818:Animals; D019208:Brain-Derived Neurotrophic Factor / Q000494:pharmacology; D002478:Cells, Cultured; D006624:Hippocampus / Q000166:cytology / Q000187:drug effects; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016501:Neurites / Q000187:drug effects / Q000648:ultrastructure*; D009474:Neurons / Q000187:drug effects / Q000648:ultrastructure*; D010363:Pattern Recognition, Automated / Q000379:methods*; D051381:Rats
chemical_list: D019208:Brain-Derived Neurotrophic Factor