• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

二维神经元图像的盒计数法:方法改进及在猴脑和人脑图像上的定量分析

Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain.

作者信息

Rajković Nemanja, Krstonošić Bojana, Milošević Nebojša

机构信息

Department of Biophysics, School of Medicine, University of Belgrade, Višegradska 26/2, 11000 Belgrade, Serbia.

Department of Anatomy, School of Medicine, University of Novi Sad, Hajduk Veljkova 21, 21000 Novi Sad, Serbia.

出版信息

Comput Math Methods Med. 2017;2017:8967902. doi: 10.1155/2017/8967902. Epub 2017 May 8.

DOI:10.1155/2017/8967902
PMID:28567112
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5439180/
Abstract

This study calls attention to the difference between traditional box-counting method and its modification. The appropriate scaling factor, influence on image size and resolution, and image rotation, as well as different image presentation, are showed on the sample of asymmetrical neurons from the monkey dentate nucleus. The standard BC method and its modification were evaluated on the sample of 2D neuronal images from the human neostriatum. In addition, three box dimensions (which estimate the space-filling property, the shape, complexity, and the irregularity of dendritic tree) were used to evaluate differences in the morphology of type III aspiny neurons between two parts of the neostriatum.

摘要

本研究提请注意传统盒计数法与其改进方法之间的差异。在来自猴齿状核的不对称神经元样本上展示了适当的缩放因子、对图像大小和分辨率的影响、图像旋转以及不同的图像呈现方式。在来自人类新纹状体的二维神经元图像样本上评估了标准盒计数法及其改进方法。此外,使用三个盒维度(用于估计树突状树的空间填充特性、形状、复杂性和不规则性)来评估新纹状体两部分之间III型无棘神经元形态的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/892bedb364cb/CMMM2017-8967902.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/a3521f533913/CMMM2017-8967902.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/772a90f3f5fb/CMMM2017-8967902.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/53658abdb9d0/CMMM2017-8967902.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/892bedb364cb/CMMM2017-8967902.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/a3521f533913/CMMM2017-8967902.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/772a90f3f5fb/CMMM2017-8967902.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/53658abdb9d0/CMMM2017-8967902.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94fe/5439180/892bedb364cb/CMMM2017-8967902.004.jpg

相似文献

1
Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain.二维神经元图像的盒计数法:方法改进及在猴脑和人脑图像上的定量分析
Comput Math Methods Med. 2017;2017:8967902. doi: 10.1155/2017/8967902. Epub 2017 May 8.
2
The Morphology of Brain Neurons: The Box-Counting Method in the Quantitative Analysis of 2D Images.脑神经元形态学:二维图像定量分析中的方块计数法。
Adv Neurobiol. 2024;36:173-189. doi: 10.1007/978-3-031-47606-8_8.
3
Morphology and classification of large neurons in the adult human dentate nucleus: a qualitative and quantitative analysis of 2D images.成人齿状核大神经元的形态学和分类:二维图像的定性和定量分析。
Neurosci Res. 2010 May;67(1):1-7. doi: 10.1016/j.neures.2010.01.002. Epub 2010 Jan 15.
4
Fractal analysis of dendrite morphology of rotated neuronal pictures: the modified box counting method.旋转神经元图片树突形态的分形分析:改进的盒子计数法
Theor Biol Forum. 2014;107(1-2):109-21.
5
Neuronal images of the putamen in the adult human neostriatum: a revised classification supported by a qualitative and quantitative analysis.成年人类新纹状体中壳核的神经元图像:基于定性和定量分析的修订分类
Anat Sci Int. 2012 Sep;87(3):115-25. doi: 10.1007/s12565-012-0131-4. Epub 2012 Mar 31.
6
Fractal analysis of dendrites morphology using modified Richardson's and box counting method.使用改进的理查森法和盒计数法对树突形态进行分形分析。
Theor Biol Forum. 2013;106(1-2):157-68.
7
Wavelet packet fractal analysis of neuronal morphology.神经元形态的小波包分形分析
Methods. 2001 Aug;24(4):347-58. doi: 10.1006/meth.2001.1205.
8
Fractal analysis of dendrite morphology using modified box-counting method.使用改进的盒计数法对树突形态进行分形分析。
Neurosci Res. 2014 Jul;84:64-7. doi: 10.1016/j.neures.2014.04.005. Epub 2014 May 4.
9
Morphological study of the rostral interstitial nucleus of the medial longitudinal fasciculus in the monkey, Macaca mulatta, by Nissl, Golgi, and computer reconstruction and rotation methods.采用尼氏染色法、高尔基染色法以及计算机重建和旋转方法,对猕猴(恒河猴)内侧纵束吻侧间质核进行形态学研究。
J Comp Neurol. 1994 Sep 1;347(1):47-63. doi: 10.1002/cne.903470105.
10
Multi-scale non-local denoising method in neuroimaging.神经成像中的多尺度非局部去噪方法。
J Xray Sci Technol. 2016 Mar 17;24(3):477-87. doi: 10.3233/XST-160564.

引用本文的文献

1
Morphology and Fractal-Based Classifications of Neurons and Microglia in Two and Three Dimensions.神经元和小胶质细胞的形态学和分形分类:二维和三维。
Adv Neurobiol. 2024;36:149-172. doi: 10.1007/978-3-031-47606-8_7.
2
Microglial morphometric analysis: so many options, so little consistency.小胶质细胞形态计量分析:选择众多,一致性却很差。
Front Neuroinform. 2023 Aug 10;17:1211188. doi: 10.3389/fninf.2023.1211188. eCollection 2023.
3
Piperazine Derivative Stabilizes Actin Filaments in Primary Fibroblasts and Binds G-Actin In Silico.

本文引用的文献

1
Fractal analysis of dendrite morphology of rotated neuronal pictures: the modified box counting method.旋转神经元图片树突形态的分形分析:改进的盒子计数法
Theor Biol Forum. 2014;107(1-2):109-21.
2
Fractal dimension of apical dendritic arborization differs in the superficial and the deep pyramidal neurons of the rat cerebral neocortex.大鼠大脑新皮质浅层和深层锥体神经元顶端树突分支的分形维数不同。
Neurosci Lett. 2015 Mar 4;589:88-91. doi: 10.1016/j.neulet.2015.01.044. Epub 2015 Jan 17.
3
Fractals in the Neurosciences, Part I: General Principles and Basic Neurosciences.
哌嗪衍生物可稳定原代成纤维细胞中的肌动蛋白丝,并在计算机模拟中与G-肌动蛋白结合。
Curr Issues Mol Biol. 2022 Oct 25;44(11):5191-5208. doi: 10.3390/cimb44110353.
4
The analysis of F-actin structure of mesenchymal stem cells by quantification of fractal dimension.通过分形维数的定量分析研究间充质干细胞 F-肌动蛋白结构。
PLoS One. 2021 Nov 30;16(11):e0260727. doi: 10.1371/journal.pone.0260727. eCollection 2021.
5
Altered dopaminergic pathways and therapeutic effects of intranasal dopamine in two distinct mouse models of autism.改变多巴胺能通路和鼻腔内给予多巴胺在两种不同自闭症小鼠模型中的治疗效果。
Mol Brain. 2020 Aug 10;13(1):111. doi: 10.1186/s13041-020-00649-7.
6
Investigating the Fractal Dimension of the Foveal Microvasculature in Relation to the Morphology of the Foveal Avascular Zone and to the Macular Circulation in Patients With Type 2 Diabetes Mellitus.研究2型糖尿病患者黄斑中心凹微血管的分形维数与黄斑中心凹无血管区形态及黄斑循环的关系。
Front Physiol. 2018 Sep 5;9:1233. doi: 10.3389/fphys.2018.01233. eCollection 2018.
神经科学中的分形,第一部分:一般原理和基础神经科学。
Neuroscientist. 2014 Aug;20(4):403-417. doi: 10.1177/1073858413513927. Epub 2013 Dec 20.
4
Fractals in the neurosciences, Part II: clinical applications and future perspectives.神经科学中的分形,第二部分:临床应用与未来展望。
Neuroscientist. 2015 Feb;21(1):30-43. doi: 10.1177/1073858413513928. Epub 2013 Dec 20.
5
On the fractal nature of nervous cell system.论神经细胞系统的分形性质。
Front Neuroanat. 2011 Jul 21;5:45. doi: 10.3389/fnana.2011.00045. eCollection 2011.
6
Fractal analysis in a systems biology approach to cancer.分形分析在癌症系统生物学方法中的应用。
Semin Cancer Biol. 2011 Jun;21(3):175-82. doi: 10.1016/j.semcancer.2011.04.002. Epub 2011 Apr 13.
7
The fractal geometry of life.生命的分形几何
Riv Biol. 2009 Jan-Apr;102(1):29-59.
8
Application of fractal analysis to neuronal dendritic arborisation patterns of the monkey dentate nucleus.分形分析在猴齿状核神经元树突分支模式中的应用。
Neurosci Lett. 2007 Sep 20;425(1):23-7. doi: 10.1016/j.neulet.2007.08.009. Epub 2007 Aug 11.
9
Fractality of dendritic arborization of spinal cord neurons.脊髓神经元树突分支的分形性。
Neurosci Lett. 2006 Apr 3;396(3):172-6. doi: 10.1016/j.neulet.2005.11.031. Epub 2005 Dec 20.
10
Use of fractal theory in neuroscience: methods, advantages, and potential problems.分形理论在神经科学中的应用:方法、优势及潜在问题。
Methods. 2001 Aug;24(4):309-21. doi: 10.1006/meth.2001.1201.