Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks
نویسندگان
چکیده
منابع مشابه
Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks
We describe a method for fully automated detection of chemical synapses in serial electron microscopy images with highly anisotropic axial and lateral resolution, such as images taken on transmission electron microscopes. Our pipeline starts from classification of the pixels based on 3D pixel features, which is followed by segmentation with an Ising model MRF and another classification step, ba...
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Kristen M. Harris,1,2,3 Elizabeth Perry,2 Jennifer Bourne,1,2 Marcia Feinberg,3 Linnaea Ostroff,3 and Jamie Hurlburt2,3 1Section of Neurobiology and Center for Learning and Memory, University of Texas at Austin, Austin, Texas 78712, 2Department of Neurology, Synapses, and Cognitive Neuroscience Center, Medical College of Georgia, Augusta, Georgia 30912, 3Program in Neuroscience and Biology Depa...
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Connectomics-the study of how neurons wire together in the brain-is at the forefront of modern neuroscience research. However, many connectomics studies are limited by the time and precision needed to correctly segment large volumes of electron microscopy (EM) image data. We present here a semi-automated segmentation pipeline using freely available software that can significantly decrease segme...
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Serial-section transmission electron microscopy (TEM) is an important imaging modality for studying neuronal connectivity patterns. However, before serial-section TEM images can be used to reconstruct connectivities of neurons, several image registration problems must be addressed. The first problem arises due to the large sample size and limited field of view: each section must be assembled fr...
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The synapses in the cerebral cortex can be classified into two main types, Gray's type I and type II, which correspond to asymmetric (mostly glutamatergic excitatory) and symmetric (inhibitory GABAergic) synapses, respectively. Hence, the quantification and identification of their different types and the proportions in which they are found, is extraordinarily important in terms of brain functio...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2014
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0087351