Quantitative 3-D morphometric analysis of individual dendritic spines
Quantitative 3-D morphometric analysis of individual dendritic spines
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DOI：
10.1038/s41598-018-21753-8
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发表时间：
2018-02-23
影响因子：
4.6
通讯作者：
Wlodarczyk, Jakub
中科院分区：
文献类型：
--
作者：
Basu, Subhadip;Saha, Punam Kumar;Wlodarczyk, Jakub
树突棘形态学变化的观察和分析是神经科学研究中的一个重大挑战。它们的密度和/或形态的改变是参与学习和记忆的神经可塑性的细胞过程的指标，并且是神经精神障碍的症状。尽管在成像方法上进行了大量的研究，但脊柱形态学变化与突触功能之间的关系仍然是未知的。现有的定量分析很难进行，需要大量的用户干预。在这里，我们提出了一种新的方法（1）的三维（3-D）分割的树突棘使用多尺度开放的方法和（2）定义的3-D形态属性的个别刺的有效评估其结构的可塑性。使用来自分离的海马培养物和脑切片的树突棘的共聚焦光学显微镜图像来验证该方法（1）以评估相对于手动标记的地面实况注释和相对于最先进的Imaris工具的准确性，（2）分析分割方法的用户独立性的再现性，以及（3）定量分析化学诱导的长时程增强前后单个棘的形态学变化。该方法进行了监测，并用于精确地描述实时使用相同的树突状片段的连续图像的单个棘的形态。
The observation and analysis of dendritic spines morphological changes poses a major challenge in neuroscience studies. The alterations of their density and/or morphology are indicators of the cellular processes involved in neural plasticity underlying learning and memory, and are symptomatic in neuropsychiatric disorders. Despite ongoing intense investigations in imaging approaches, the relationship between changes in spine morphology and synaptic function is still unknown. The existing quantitative analyses are difficult to perform and require extensive user intervention. Here, we propose a new method for (1) the three-dimensional (3-D) segmentation of dendritic spines using a multi-scale opening approach and (2) define 3-D morphological attributes of individual spines for the effective assessment of their structural plasticity. The method was validated using confocal light microscopy images of dendritic spines from dissociated hippocampal cultures and brain slices (1) to evaluate accuracy relative to manually labeled ground-truth annotations and relative to the state-of-the-art Imaris tool, (2) to analyze reproducibility of user-independence of the segmentation method, and (3) to quantitatively analyze morphological changes in individual spines before and after chemically induced long-term potentiation. The method was monitored and used to precisely describe the morphology of individual spines in real-time using consecutive images of the same dendritic fragment.