Computer aided alignment and quantitative 4D structural plasticity analysis of neurons

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Title:	Computer aided alignment and quantitative 4D structural plasticity analysis of neurons
Authors:	林智揚;Lee, Ping-Chang;He, Hai-yan;Lin, Chih-Yang;Ching, Yu-Tai;Cline, Hollis T.
Contributors:	工學院機械工程學系
Keywords:	Anatomy;Animals;Animals, Genetically Modified;Applied sciences;Bioinformatics;Biological and medical sciences;Biomedical and Life Sciences;Biomedicine;Central nervous system;Computational Biology/Bioinformatics;Computer Appl. in Life Sciences;Computer science;control theory;systems;Computer systems and distributed systems. User interface;Detection, estimation, filtering, equalization, prediction;Exact sciences and technology;Fundamental and applied biological sciences. Psychology;Green Fluorescent Proteins - genetics;Green Fluorescent Proteins - metabolism;Image Processing, Computer-Assisted;Information, signal and communications theory;Models, Neurological;Neurology;Neuronal Plasticity - physiology;Neurons - cytology;Neurons - physiology;Neurosciences;Nonlinear Dynamics;Original Article;Signal and communications theory;Signal, noise;Software;Superior Colliculi - cytology;Telecommunications and information theory;Time Factors;Time-Lapse Imaging;Vertebrates: nervous system and sense organs;Xenopus laevis
Date:	2013-04-01
Issue Date:	2026-04-23 14:53:23 (UTC+8)
Publisher:	Humana Press;New York: Springer-Verlag
Abstract:	摘要： The rapid development of microscopic imaging techniques has greatly facilitated time-lapse imaging of neuronal morphology. However, analysis of structural dynamics in the vast amount of 4-Dimensional data generated by in vivo or ex vivo time-lapse imaging still relies heavily on manual comparison, which is not only laborious, but also introduces errors and discrepancies between individual researchers and greatly limits the research pace. Here we present a supervised 4D Structural Plasticity Analysis (4D SPA) computer method to align and match 3-Dimensional neuronal structures across different time points on a semi-automated basis. We demonstrate 2 applications of the method to analyze time-lapse data showing gross morphological changes in dendritic arbor morphology and to identify the distribution and types of branch dynamics seen in a series of time-lapse images. Analysis of the dynamic changes of neuronal structure can be done much faster and with greatly improved consistency and reliability with the 4D SPA supervised computer program. Users can format the neuronal reconstruction data to be used for this analysis. We provide file converters for Neurolucida and Imaris users. The program and user manual are publically accessible and operate through a graphical user interface on Windows and Mac OSX. 其他題名： Neuroinform 其他題名： Neuroinformatics 出版者： New York: Springer-Verlag 出版日期： 2013-04-01 出處： Neuroinformatics (Totowa, N.J.), 2013-04, Vol.11 (2), p.249-257 版權： Springer Science+Business Media New York 2013 版權： 2014 INIST-CNRS 識別號： ISSN: 1539-2791 識別號： ISSN: 1559-0089 識別號： EISSN: 1559-0089 識別號： DOI: 10.1007/s12021-013-9179-0 識別號： PMID: 23408326
Appears in Collections:	[Departmant of Mechanical Engineering ] journal & Dissertation

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