ANDA：一个用于体外神经元细胞自动图像分析的开源工具。
ANDA: an open-source tool for automated image analysis of in vitro neuronal cells.
机构信息
Institute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, Blindern, 1112, 0317, Oslo, Norway.
PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316, Oslo, Norway.
出版信息
BMC Neurosci. 2023 Oct 24;24(1):56. doi: 10.1186/s12868-023-00826-z.
BACKGROUND
Imaging of in vitro neuronal differentiation and measurements of cell morphologies have led to novel insights into neuronal development. Live-cell imaging techniques and large datasets of images have increased the demand for automated pipelines for quantitative analysis of neuronal morphological metrics.
RESULTS
ANDA is an analysis workflow that quantifies various aspects of neuronal morphology from high-throughput live-cell imaging screens of in vitro neuronal cell types. This tool automates the analysis of neuronal cell numbers, neurite lengths and neurite attachment points. We used chicken, rat, mouse, and human in vitro models for neuronal differentiation and have demonstrated the accuracy, versatility, and efficiency of the tool.
CONCLUSIONS
ANDA is an open-source tool that is easy to use and capable of automated processing from time-course measurements of neuronal cells. The strength of this pipeline is the capability to analyse high-throughput imaging screens.
背景
体外神经元分化的成像和细胞形态的测量为神经元发育提供了新的见解。活细胞成像技术和大量的图像数据集增加了对神经元形态测量的自动分析流水线的需求。
结果
ANDA 是一种分析工作流程，可从体外神经元细胞类型的高通量活细胞成像筛选中定量分析神经元形态的各个方面。该工具自动分析神经元细胞数量、神经突长度和神经突附着点。我们使用鸡、大鼠、小鼠和人类的体外分化模型，证明了该工具的准确性、通用性和效率。
结论
ANDA 是一个开源工具，易于使用，能够从神经元细胞的时程测量中进行自动处理。该流水线的优势在于能够分析高通量成像屏幕。
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