Abstract：
:Neuroendocrine cells like chromaffin cells and PC-12 cells are established models for transport, docking and secretion of secretory vesicles. In micrographs, these vesicles are recognized by their electron dense core. The analysis of secretory vesicle distribution is usually performed manually, which is labour-intensive and subject to human bias and error. We have developed an algorithm to analyze secretory vesicle distribution and docking in electron micrographs. Our algorithm automatically detects the vesicles and calculates their distance to the plasma membrane on basis of the pixel coordinates, ensuring that all vesicles are counted and the shortest distance is measured. We validated the algorithm on a several preparations of endocrine cells. The algorithm was highly accurate in recognizing secretory vesicles and calculating their distribution including vesicle-docking analysis. Furthermore, the algorithm enabled the extraction of parameters that cannot be measured manually like vesicle clustering. Taking together, the algorithm facilitates and expands the unbiased and efficient analysis of secretory vesicle distribution and docking.
journal_name
J Neurosci Methodsjournal_title
Journal of neuroscience methodsauthors
van Weering JR,Wijntjes R,de Wit H,Wortel J,Cornelisse LN,Veldkamp WJ,Verhage Mdoi
10.1016/j.jneumeth.2008.05.022subject
Has Abstractpub_date
2008-08-15 00:00:00pages
83-90issue
1eissn
0165-0270issn
1872-678Xpii
S0165-0270(08)00323-3journal_volume
173pub_type
杂志文章abstract：:In studies on animal models of human brain pathologies, three-dimensional reconstruction from histological sections is particularly useful when assessing the morphologic, functional and biochemical changes induced by pathology. It allows assessing lesion heterogeneity in planes different from the cutting plane and all...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2006.06.004
更新日期：2006-12-15 00:00:00
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journal_title：Journal of neuroscience methods
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(93)90084-5
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2008.06.007
更新日期：2008-08-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/s0165-0270(01)00511-8
更新日期：2002-03-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章,评审
doi：10.1016/0165-0270(89)90150-7
更新日期：1989-09-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(89)90111-8
更新日期：1989-07-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2005.06.008
更新日期：2006-01-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2006.02.001
更新日期：2006-09-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2009.07.007
更新日期：2009-09-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2007.11.032
更新日期：2008-03-30 00:00:00
abstract：BACKGROUND:Neuroevolution comprises the use of evolutionary computation to define the architecture and/or to train artificial neural networks (ANNs). This strategy has been employed to investigate the behavior of rats in the elevated plus-maze, which is a widely used tool for studying anxiety in mice and rats. NEW MET...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2016.06.010
更新日期：2016-09-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2013.11.010
更新日期：2014-02-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2006.10.006
更新日期：2007-03-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2015.02.013
更新日期：2015-04-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/s0165-0270(97)00194-5
更新日期：1998-03-13 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(91)90031-t
更新日期：1991-05-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(85)90015-9
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2005.09.013
更新日期：2006-04-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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更新日期：1996-12-28 00:00:00
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journal_title：Journal of neuroscience methods
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doi：10.1016/s0165-0270(03)00028-1
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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更新日期：2012-02-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2011.09.011
更新日期：2012-01-15 00:00:00
abstract：:N-Acetylaspartate (NAA) is an important marker of neuronal function and viability that can be measured using magnetic resonance spectroscopy (MRS). In this paper, we proposed a method to measure NAA synthesis using proton MRS with infusion of uniformly (13)C-labeled glucose, and demonstrated its feasibility in an in v...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2008.04.001
更新日期：2008-07-15 00:00:00
