Multiscale Analysis of Neurite Orientation and Spatial Organization in Neuronal Images.
Multiscale Analysis of Neurite Orientation and Spatial Organization in Neuronal Images.
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DOI：
10.1007/s12021-016-9306-9
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发表时间：
2016-10
期刊：
影响因子：
3
通讯作者：
Labate D
中科院分区：
文献类型：
--
作者：
Singh P;Negi P;Laezza F;Papadakis M;Labate D
神经突的空间组织，即源于神经元体的细突（即树突和轴突），传达了大脑正常功能所需的结构信息。在健康和有害的刺激下，大脑中神经突的排列、方向和整体几何形状受到持续重塑的影响。在发育中的大脑中，在神经发生或神经再生过程中，这些结构变化是神经元建立轴突到树突连接的能力的指标，这种连接最终可以发育成功能性突触。对这种结构重塑进行适当的量化将有助于确定新的表型标准，从而对发育阶段进行分类，并进一步加深我们对大脑功能的理解。然而，仍然缺乏足够的算法来准确可靠地量化神经突的方向和排列。为了填补这一空白，我们引入了一种新的算法，该算法依赖于设计用于在多个尺度上测量局部神经突方向的多尺度定向滤波器。这种创新的方法使我们能够从与局部不规则和噪音相关的更精细的现象中区分神经突的物理方向。在这个多尺度框架的基础上，我们还引入了对齐分数的概念，我们应用它来量化组织和培养神经元中神经突的空间组织程度。数字代码是用Python实现的，并且开源并免费发布给科学界。
The spatial organization of neurites, the thin processes (i.e., dendrites and axons) that stem from a neuron's soma, conveys structural information required for proper brain function. The alignment, direction and overall geometry of neurites in the brain are subject to continuous remodeling in response to healthy and noxious stimuli. In the developing brain, during neurogenesis or in neuroregeneration, these structural changes are indicators of the ability of neurons to establish axon-to-dendrite connections that can ultimately develop into functional synapses. Enabling a proper quantification of this structural remodeling would facilitate the identification of new phenotypic criteria to classify developmental stages and further our understanding of brain function. However, adequate algorithms to accurately and reliably quantify neurite orientation and alignment are still lacking. To fill this gap, we introduce a novel algorithm that relies on multiscale directional filters designed to measure local neurites orientation over multiple scales. This innovative approach allows us to discriminate the physical orientation of neurites from finer scale phenomena associated with local irregularities and noise. Building on this multiscale framework, we also introduce a notion of alignment score that we apply to quantify the degree of spatial organization of neurites in tissue and cultured neurons. Numerical codes were implemented in Python and released open source and freely available to the scientific community.
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DOI：
10.1093/bioinformatics/btr237
发表时间：
2011-07-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Peng H;Long F;Myers G
通讯作者：
Myers G
影响因子：
10.6
作者：
Lam, Stanley Yin Man;Shi, Bertram E.
通讯作者：
Shi, Bertram E.
DOI：
10.1002/cyto.a.20954
发表时间：
2010-12
期刊：
Cytometry. Part A : the journal of the International Society for Analytical Cytology
影响因子：
--
作者：
Langhammer CG;Previtera ML;Sweet ES;Sran SS;Chen M;Firestein BL
通讯作者：
Firestein BL
影响因子：
10.6
作者：
Geusebroek, JM;Smeulders, AWM;van de Weijer, J
通讯作者：
van de Weijer, J
影响因子：
2.5
作者：
Easley, Glenn;Labate, Demetrio;Lim, Wang-Q
通讯作者：
Lim, Wang-Q