NeuroXiv：人工智能驱动的全脑神经元形态开放数据库和动态挖掘。

IF 36.1 1区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Nature Methods Pub Date : 2025-06-01 Epub Date: 2025-04-29 DOI:10.1038/s41592-025-02687-2

Shengdian Jiang, Lijun Wang, Zhixi Yun, Hanbo Chen, Lijuan Liu, Jianhua Yao, Hanchuan Peng

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引用次数: 0

摘要

近年来，各种研究项目在全脑尺度上对神经元形态进行了广泛的重建。在这里，为了以标准化和可扩展的方式促进交互探索，我们引入了NeuroXiv (neuroxiv.org)，这是一个包含175,149个重构神经元形态的大型数据库，映射到通用坐标框架版本3 （CCFv3）。此外，NeuroXiv集成了一个人工智能驱动的挖掘引擎（AIPOM），用于动态的、用户特定的数据挖掘，通过自定义客户端程序提供增强的性能。

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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NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.

Neuron morphology has been extensively reconstructed at the whole-brain scale by various projects in recent years. Here, to facilitate interactive exploration in a standardized and scalable manner, we introduce NeuroXiv (neuroxiv.org), a large-scale database containing 175,149 reconstructed neuron morphologies mapped to the Common Coordinate Framework Version 3 (CCFv3). In addition, NeuroXiv incorporates an AI-powered mining engine (AIPOM) for dynamic, user-specific data mining, delivering enhanced performance via a custom client program.

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来源期刊

Nature Methods 生物-生化研究方法

CiteScore

58.70

自引率

1.70%

发文量

326

审稿时长

1 months

期刊介绍： Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.