Automatic Dendritic Spine Quantification from Confocal Data with Neurolucida 360

Q2 Neuroscience Current Protocols in Neuroscience Pub Date : 2016-10-15 DOI:10.1002/cpns.16
Dara L. Dickstein, Daniel R. Dickstein, William G. M. Janssen, Patrick R. Hof, Jacob R. Glaser, Alfredo Rodriguez, Nate O'Connor, Paul Angstman, Susan J. Tappan
{"title":"Automatic Dendritic Spine Quantification from Confocal Data with Neurolucida 360","authors":"Dara L. Dickstein,&nbsp;Daniel R. Dickstein,&nbsp;William G. M. Janssen,&nbsp;Patrick R. Hof,&nbsp;Jacob R. Glaser,&nbsp;Alfredo Rodriguez,&nbsp;Nate O'Connor,&nbsp;Paul Angstman,&nbsp;Susan J. Tappan","doi":"10.1002/cpns.16","DOIUrl":null,"url":null,"abstract":"<p>Determining the density and morphology of dendritic spines is of high biological significance given the role of spines in synaptic plasticity and in neurodegenerative and neuropsychiatric disorders. Precise quantification of spines in three dimensions (3D) is essential for understanding the structural determinants of normal and pathological neuronal function. However, this quantification has been restricted to time- and labor-intensive methods such as electron microscopy and manual counting, which have limited throughput and are impractical for studies of large samples. While there have been some automated software packages that quantify spine number, they are limited in terms of their characterization of spine structure. This unit presents methods for objective dendritic spine morphometric analysis by providing image acquisition parameters needed to ensure optimal data series for proper spine detection, characterization, and quantification with Neurolucida 360. These protocols will be a valuable reference for scientists working towards quantifying and characterizing spines. © 2016 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":40016,"journal":{"name":"Current Protocols in Neuroscience","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpns.16","citationCount":"51","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpns.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Neuroscience","Score":null,"Total":0}
引用次数: 51

Abstract

Determining the density and morphology of dendritic spines is of high biological significance given the role of spines in synaptic plasticity and in neurodegenerative and neuropsychiatric disorders. Precise quantification of spines in three dimensions (3D) is essential for understanding the structural determinants of normal and pathological neuronal function. However, this quantification has been restricted to time- and labor-intensive methods such as electron microscopy and manual counting, which have limited throughput and are impractical for studies of large samples. While there have been some automated software packages that quantify spine number, they are limited in terms of their characterization of spine structure. This unit presents methods for objective dendritic spine morphometric analysis by providing image acquisition parameters needed to ensure optimal data series for proper spine detection, characterization, and quantification with Neurolucida 360. These protocols will be a valuable reference for scientists working towards quantifying and characterizing spines. © 2016 by John Wiley & Sons, Inc.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用Neurolucida 360从共焦数据自动定量树突棘
鉴于树突棘在突触可塑性以及神经退行性和神经精神疾病中的作用,确定树突棘的密度和形态具有高度的生物学意义。在三维(3D)中精确量化棘对于理解正常和病理神经元功能的结构决定因素至关重要。然而,这种定量仅限于时间和劳动密集型方法,如电子显微镜和手动计数,这些方法的吞吐量有限,对于大样本的研究是不切实际的。虽然已经有一些自动化软件包可以量化脊椎数量,但它们在脊椎结构表征方面受到限制。本单元介绍了通过提供所需的图像采集参数进行客观树突棘形态计量分析的方法,以确保使用Neurolucida 360进行正确的棘检测、表征和定量所需的最佳数据系列。这些协议将为致力于量化和表征脊椎的科学家提供有价值的参考。©2016,作者:John Wiley&;股份有限公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Current Protocols in Neuroscience
Current Protocols in Neuroscience Neuroscience-Neuroscience (all)
自引率
0.00%
发文量
0
期刊介绍: Current Protocols in Neuroscience is a one-stop resource for finding and adapting the best models and methods for all types of neuroscience experiments. Updated every three months in all formats, CPNS is constantly evolving to keep pace with the very latest discoveries and developments. A year of these quarterly updates is included in the initial CPNS purchase price.
期刊最新文献
Simultaneous Ca2+ Imaging and Optogenetic Stimulation of Cortical Astrocytes in Adult Murine Brain Slices Automated Two-Chamber Operon ID/ED Task for Mice Automated Quantification of Mitochondrial Fragmentation in an In Vitro Parkinson's Disease Model. Whole-Brain Image Analysis and Anatomical Atlas 3D Generation Using MagellanMapper. A Guide to Fluorescence Lifetime Microscopy and Förster's Resonance Energy Transfer in Neuroscience
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1