The DIADEM metric: comparing multiple reconstructions of the same neuron.
The DIADEM metric: comparing multiple reconstructions of the same neuron.
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DOI：
10.1007/s12021-011-9117-y
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发表时间：
2011-09
期刊：
影响因子：
3
通讯作者：
Ascoli, Giorgio A.
中科院分区：
文献类型：
--
作者：
Gillette, Todd A.;Brown, Kerry M.;Ascoli, Giorgio A.
关键词：
神经元形态的数字重建用于研究神经元功能，发育和对各种条件的反应。虽然存在许多测量来分析神经元之间的差异，但没有一个特别适合于比较随着时间的推移（形态学变化）或由不同的人和/或软件重建（形态学误差）的相同树状结构。为DIADEM（轴突和树突形态的数字重建）挑战引入的度量通过匹配分叉和终止的位置以及两个重建的乔木之间的拓扑结构来量化同一神经元的两个重建之间的相似性。DIADEM度量专门设计用于捕获自动神经元重建中最关键的方面，并且可以在算法开发期间的反馈循环中发挥作用。在挑战赛期间，该指标在代表性数据集集合上对最佳性能算法的自动重建进行了评分，这些算法与手动跟踪的黄金标准进行了比较。将该指标与神经元重建专家的直接质量评估以及自动化节省的计时人类追踪时间进行比较。结果表明，相关的形态特征，适当的量化，尽管主观的基础图像数据和不同的研究目标。DIADEM度量是免费发布的开源（http：diademchallenge.org），作为一种灵活的工具，用于测量高通量重建项目中的形态错误或变化。
Digital reconstructions of neuronal morphology are used to study neuron function, development, and responses to various conditions. Although many measures exist to analyze differences between neurons, none is particularly suitable to compare the same arborizing structure over time (morphological change) or reconstructed by different people and/or software (morphological error). The metric introduced for the DIADEM (DIgital reconstruction of Axonal and DEndritic Morphology) Challenge quantifies the similarity between two reconstructions of the same neuron by matching the locations of bifurcations and terminations as well as their topology between the two reconstructed arbors. The DIADEM metric was specifically designed to capture the most critical aspects in automating neuronal reconstructions, and can function in feedback loops during algorithm development. During the Challenge, the metric scored the automated reconstructions of best-performing algorithms against manually traced gold standards over a representative data set collection. The metric was compared with direct quality assessments by neuronal reconstruction experts and with clocked human tracing time saved by automation. The results indicate that relevant morphological features were properly quantified in spite of subjectivity in the underlying image data and varying research goals. The DIADEM metric is freely released open source (http://diademchallenge.org) as a flexible instrument to measure morphological error or change in high-throughput reconstruction projects.
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影响因子：
7.8
作者：
Ascoli, GA
通讯作者：
Ascoli, GA
DOI：
10.1115/1.2746372
发表时间：
2007-08-01
影响因子：
1.7
作者：
Hao, Hailing;Shreiber, David I.
通讯作者：
Shreiber, David I.
影响因子：
34.7
作者：
Ascoli, Giorgio A.;Alonso-Nanclares, Lidia;Anderson, Stewart A.;Barrionuevo, German;Benavides-Piccione, Ruth;Burkhalter, Andreas;Buzsaki, Gyoergy;Cauli, Bruno;DeFelipe, Javier;Fairen, Alfonso;Feldmeyer, Dirk;Fishell, Gord;Fregnac, Yves;Freund, Tamas F.;Gardner, Daniel;Gardner, Esther P.;Goldberg, Jesse H.;Helmstaedter, Moritz;Hestrin, Shaul;Karube, Fuyuki;Kisvarday, Zoltan F.;Lambolez, Bertrand;Lewis, David A.;Marin, Oscar;Markram, Henry;Munoz, Alberto;Packer, Adam;Petersen, Carl C. H.;Rockland, Kathleen S.;Rossier, Jean;Rudy, Bernardo;Somogyi, Peter;Staiger, Jochen F.;Tamas, Gabor;Thomson, Alex M.;Toledo-Rodriguez, Maria;Wang, Yun;West, David C.;Yuste, Rafael
通讯作者：
Yuste, Rafael
影响因子：
3
作者：
CAPOWSKI, JJ
通讯作者：
CAPOWSKI, JJ
DOI：
10.1007/0-387-28942-9_15
发表时间：
2006-01-01
期刊：
NEUROANATOMICAL TRACT-TRACING 3: MOLECULES, NEURONS, AND SYSTEMS
影响因子：
--
作者：
Goldberg, Jesse H.;Hamzei-Sichani, Farid;Yuste, Rafael
通讯作者：
Yuste, Rafael