高尔基染色脑组织的高分辨率单神经元重建分析。

IF 5.6 1区 生物学 Q2 CELL BIOLOGY
Qiaowei Tang, Binfu Fan, Xiaoqing Cai, Zhiming Shen, Jichao Zhang, Jun Hu, Jiang Li, Ying Zhu
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引用次数: 0

摘要

了解大脑网络的结构和功能组织是神经科学的一个基本目标,单神经元形态的三维重建是一个重要的基础。高尔基染色法能够随机标记神经元,并在光学和x射线显微镜下提供高对比度信号,仍然是形态学分析的宝贵工具。然而,其在大规模神经元重建中的广泛应用受到神经元分支信号不连续、高密度标记和复杂背景干扰的阻碍。虽然自动重建方法在稀疏标记和形态简单的神经元群体中表现良好,但它们在高尔基染色样本中的有效性有限。在此,我们开发了一种半自动化的高尔基染色小鼠脑神经元(SNR-Golgi)单神经元重建方法。通过融合背景去噪、单神经元提取和分支修复三个关键技术模块,高尔基信噪比显著提高了神经元重建的准确性和完整性。在荧光显微光学断层扫描(fMOST)数据集中,snr -高尔基在小鼠体感觉皮层内的神经元重建方面表现优异,重建的分支数量增加了30%,总分支长度增加了76%,轴突长度增加了3.7倍。此外,在基于同步加速器的x射线成像数据集中,SNR-Golgi实现了单个神经元的亚微米分辨率3D重建。这些结果表明,snr -高尔基有效地解决了高尔基染色样品的复杂性,并为各种成像方式下的大脑神经元结构分析提供了强大的技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Resolution Single-Neuron Reconstruction Analysis in Golgi-Stained Brain Tissues.

Understanding the structural and functional organisation of brain networks is a fundamental objective in neuroscience, with three-dimensional (3D) reconstruction of single-neuron morphology serving as a critical foundation. The Golgi staining method, which enables random neuronal labeling and provides high-contrast signals in both optical and X-ray microscopy, remains a valuable tool for morphological analysis. However, its widespread application in large-scale neuronal reconstructions is hindered by signal discontinuities in neuronal branches, high-density labeling, and complex background interference. While automated reconstruction methods perform well in sparsely labelled and morphologically simple neuronal populations, their effectiveness is limited in Golgi-stained samples. Here we develop a semi-automated single-neuron reconstruction method for Golgi-stained mouse brain neurons (SNR-Golgi). By integrating three key technical modules-background denoising, single-neuron extraction, and branch repair-SNR-Golgi significantly enhances the accuracy and completeness of neuronal reconstruction. In fluorescence micro-optical sectioning tomography (fMOST) datasets, SNR-Golgi demonstrated superior performance in neuronal reconstruction within the mouse somatosensory cortex, achieving a 30% increase in reconstructed branch count, a 76% improvement in total branch length, and a 3.7-fold increase in axonal length. Additionally, in synchrotron-based X-ray imaging datasets, SNR-Golgi enabled submicron-resolution 3D reconstruction of single neurons. These results demonstrate that SNR-Golgi effectively addresses the complexity of Golgi-stained samples and provides robust technical support for the structural analysis of brain neurons across various imaging modalities.

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来源期刊
Cell Proliferation
Cell Proliferation 生物-细胞生物学
CiteScore
14.80
自引率
2.40%
发文量
198
审稿时长
1 months
期刊介绍: Cell Proliferation Focus: Devoted to studies into all aspects of cell proliferation and differentiation. Covers normal and abnormal states. Explores control systems and mechanisms at various levels: inter- and intracellular, molecular, and genetic. Investigates modification by and interactions with chemical and physical agents. Includes mathematical modeling and the development of new techniques. Publication Content: Original research papers Invited review articles Book reviews Letters commenting on previously published papers and/or topics of general interest By organizing the information in this manner, readers can quickly grasp the scope, focus, and publication content of Cell Proliferation.
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