Semi-Automated Quantitative Evaluation of Neuron Developmental Morphology In Vitro Using the Change-Point Test.

IF 2.7 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ashlee S Liao, Wenxin Cui, Yongjie Jessica Zhang, Victoria A Webster-Wood
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引用次数: 2

Abstract

Neuron morphology gives rise to distinct axons and dendrites and plays an essential role in neuronal functionality and circuit dynamics. In rat hippocampal neurons, morphological development occurs over roughly one week in vitro. This development has been qualitatively described as occurring in 5 stages. Still, there is a need to quantify cell growth to monitor cell culture health, understand cell responses to sensory cues, and compare experimental results and computational growth model predictions. To address this need, embryonic rat hippocampal neurons were observed in vitro over six days, and their processes were quantified using both standard morphometrics (degree, number of neurites, total length, and tortuosity) and new metrics (distance between change points, relative turning angle, and the number of change points) based on the Change-Point Test to track changes in path trajectories. Of the standard morphometrics, the total length of neurites per cell and the number of endpoints were significantly different between 0.5, 1.5, and 4 days in vitro, which are typically associated with Stages 2-4. Using the Change-Point Test, the number of change points and the average distance between change points per cell were also significantly different between those key time points. This work highlights key quantitative characteristics, both among common and novel morphometrics, that can describe neuron development in vitro and provides a foundation for analyzing directional changes in neurite growth for future studies.

Abstract Image

利用变化点试验对体外神经元发育形态进行半自动定量评价。
神经元形态产生不同的轴突和树突,在神经元功能和电路动力学中起着至关重要的作用。大鼠海马神经元在体外培养约一周后发生形态发育。这种发展被定性地描述为发生在5个阶段。尽管如此,仍有必要量化细胞生长以监测细胞培养健康,了解细胞对感官线索的反应,并比较实验结果和计算生长模型预测。为了满足这一需求,我们在体外对胚胎大鼠海马神经元进行了为期6天的观察,并使用标准形态计量学(神经突的程度、数量、总长度和弯曲度)和基于变化点测试的新指标(变化点之间的距离、相对转角和变化点的数量)来量化它们的过程,以跟踪路径轨迹的变化。在标准形态计量学中,每个细胞的神经突总长度和终点数量在体外0.5、1.5和4天之间存在显著差异,这通常与2-4期有关。使用变化点测试,这些关键时间点之间的变化点数量和每个单元之间的平均变化点距离也有显著差异。这项工作突出了常见的和新颖的形态计量学中的关键定量特征,这些特征可以描述体外神经元发育,并为未来研究分析神经突生长的方向性变化提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
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