Automated Sholl analysis of digitized neuronal morphology at multiple scales: Whole cell Sholl analysis versus Sholl analysis of arbor subregions.
Automated Sholl analysis of digitized neuronal morphology at multiple scales: Whole cell Sholl analysis versus Sholl analysis of arbor subregions.
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DOI：
10.1002/cyto.a.20954
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
Firestein BL
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文献类型：
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作者：
Langhammer CG;Previtera ML;Sweet ES;Sran SS;Chen M;Firestein BL
树突和轴突的形态决定了神经元如何处理和传递信息。神经突形态经常通过Sholl分析或通过计数神经突和分支尖端的总数来分析。然而，手工进行这种分析所需的时间和资源对于处理大数据集是禁止的，并且引入了数据审计和再现性的问题。此外，手工或使用粗粒度形态数据提取工具进行的分析可能会掩盖数据集中的细微差异，因为它们不会以便于应用多种分析工具的形式存储数据。为了解决这些缺点，我们开发了一个程序（名为“篝火”），以促进神经突形态的数字化和随后的Sholl分析。我们的程序建立在其他可用的开源形态学分析工具的基础上，通过对神经炎乔木的子区域进行Sholl分析，能够检测树突和轴突分支行为的局部水平变化。为了验证这种新工具，我们将篝火分析应用于用25 ng/ml脑源性神经营养因子（BDNF）处理的海马神经元和未处理的对照神经元的图像。与先前的研究结果一致，传统的Sholl分析显示，全球暴露于BDNF增加了近端索马的神经炎交叉点的数量。篝火分析还发现，BDNF治疗影响了根突和终末突，对中间神经突没有影响。两者合计，我们的数据表明，全球暴露的海马神经元BDNF的结果在重组的神经炎节段内的乔木，但不一定在其数量或长度的变化。这些发现只有通过Bonfire分析返回的神经突特异性Sholl数据才能实现。
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.