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本文引用的文献

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VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks.VAST(体积注释和分割工具):高效的大型 3D 图像堆栈手动和半自动标注。
Front Neural Circuits. 2018 Oct 16;12:88. doi: 10.3389/fncir.2018.00088. eCollection 2018.
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Analysis Tools for Large Connectomes.大型连接组学分析工具。
Front Neural Circuits. 2018 Oct 15;12:85. doi: 10.3389/fncir.2018.00085. eCollection 2018.
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Implementation of a Collaborative Series of Classroom-Based Undergraduate Research Experiences Spanning Chemical Biology, Biochemistry, and Neurobiology.实施一系列基于课堂的本科研究合作项目,涵盖化学生物学、生物化学和神经生物学。
CBE Life Sci Educ. 2016 winter;15(4). doi: 10.1187/cbe.16-02-0089.
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Early Engagement in Course-Based Research Increases Graduation Rates and Completion of Science, Engineering, and Mathematics Degrees.早期参与基于课程的研究可提高毕业率以及科学、工程和数学学位的完成率。
CBE Life Sci Educ. 2016 Summer;15(2). doi: 10.1187/cbe.16-03-0117.
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Anatomy and function of an excitatory network in the visual cortex.视觉皮层中一个兴奋性网络的解剖结构与功能
Nature. 2016 Apr 21;532(7599):370-4. doi: 10.1038/nature17192. Epub 2016 Mar 28.
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Modeling course-based undergraduate research experiences: an agenda for future research and evaluation.基于课程的本科研究经历建模:未来研究与评估议程
CBE Life Sci Educ. 2015 Mar 2;14(1):es1. doi: 10.1187/cbe.14-10-0167.
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Assessment of course-based undergraduate research experiences: a meeting report.基于课程的本科生研究经历评估:会议报告。
CBE Life Sci Educ. 2014 Spring;13(1):29-40. doi: 10.1187/cbe.14-01-0004.
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The benefits of multi-year research experiences: differences in novice and experienced students' reported gains from undergraduate research.多年研究经验的好处:新手和有经验的学生在本科研究中报告的收益差异。
CBE Life Sci Educ. 2012 Fall;11(3):260-72. doi: 10.1187/cbe.11-11-0098.
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Fiji: an open-source platform for biological-image analysis.斐济:一个用于生物影像分析的开源平台。
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10
Network anatomy and in vivo physiology of visual cortical neurons.视皮层神经元的网络解剖结构和体内生理学。
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利用开放获取的3D电子显微镜图像数据集开展的通用本科神经生物学课程研究体验

Versatile Undergraduate Neurobiology Course-Based Research Experiences Using Open Access 3D Electron Microscopy Image Volumes.

作者信息

Nahmani Marc

机构信息

Division of Sciences & Mathematics, University of Washington Tacoma, Tacoma, WA 98402.

出版信息

J Undergrad Neurosci Educ. 2019 Dec 21;18(1):A65-A74. eCollection 2019 Fall.

PMID:31983902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6973296/
Abstract

Course-based undergraduate research experiences (CUREs) using inquiry-based methodology provide a range of positive benefits to undergraduates and instructors. Yet, the required time and cost in designing and running CUREs with detailed data acquisition steps can lead to barriers in CURE implementation. This report describes an alternative approach to CUREs that utilizes free, open access 3D image volumes as data-rich resources for neurobiology CUREs. These open access image volume CUREs (ivCUREs) effectively combine the data acquisition and analysis steps within the course, allowing more time for students to critically evaluate their hypotheses and results, compare data with peers, and reflect on their experiences. Undergraduates in this 10-week ivCURE analyzed >670 excitatory synapses across two brain areas for the presence and origins of spinules within presynaptic boutons, and fully reconstructed 13 of these synapses in 3D. These data highlight the prevalence of these enigmatic synaptic features within excitatory presynaptic boutons, and their potential importance to neuronal function. Moreover, these results underscore key benefits to ivCURE implementation, including the (1) low-cost of experimental design and implementation, (2) ability to utilize the same data-rich image volume across multiple ivCUREs, (3) potential to generate publishable analyses, and (4) flexibility to scale projects and class sizes up at little to no cost. Opportunities for undergraduates to engage in inquiry-based ivCUREs that examine a host of unexplored questions in neurobiology will continue to grow, in parallel with rapid advances in 3D microscopy techniques and the increased availability and diversity of open access image volumes and analytical tools.

摘要

基于课程的本科研究经历(CUREs)采用基于探究的方法,为本科生和教师带来了一系列积极的益处。然而,设计和开展具有详细数据采集步骤的CUREs所需的时间和成本可能会导致CUREs实施过程中的障碍。本报告描述了一种CUREs的替代方法,该方法利用免费的、开放获取的3D图像数据集作为神经生物学CUREs的数据丰富资源。这些开放获取的图像数据集CUREs(ivCUREs)有效地将课程中的数据采集和分析步骤结合起来,使学生有更多时间批判性地评估他们的假设和结果,与同龄人比较数据,并反思他们的经历。在这个为期10周的ivCUREs中,本科生分析了两个脑区中超过670个兴奋性突触,以确定突触前终扣内棘状突起的存在和起源,并对其中13个突触进行了3D完全重建。这些数据突出了这些神秘突触特征在兴奋性突触前终扣中的普遍性,以及它们对神经元功能的潜在重要性。此外,这些结果强调了ivCUREs实施的关键益处,包括:(1)实验设计和实施成本低;(2)能够在多个ivCUREs中使用相同的数据丰富的图像数据集;(3)有产生可发表分析结果的潜力;(4)能够以很少或无需成本扩大项目规模和班级规模。随着3D显微镜技术的快速发展以及开放获取图像数据集和分析工具的可用性和多样性的增加,本科生参与基于探究的ivCUREs以研究神经生物学中一系列未探索问题的机会将继续增加。