Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets

Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets

The cellular organization of brain tissue is truly complex. This work presents a computational method to identify the principal cell types in threedimensional (3-D) confocal image stacks with multiple fluorescent channels. The cells are classified into four major classes (Neurons, Microglia, Astrocy...

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Online Access:http://hdl.handle.net/2047/d10009012
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spelling ndltd-NEU--neu-3760552016-04-25T16:15:26ZComputer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal DatasetsThe cellular organization of brain tissue is truly complex. This work presents a computational method to identify the principal cell types in threedimensional (3-D) confocal image stacks with multiple fluorescent channels. The cells are classified into four major classes (Neurons, Microglia, Astrocytes and Endothelials) by using a two-step classifier that applies fuzzy c-means clustering followed by Support Vector Machines (SVM). The resulting classification results were validated against a human expert, and the accuracy of the classifier was %95.5 in the correctly segmented nuclei.http://hdl.handle.net/2047/d10009012
collection NDLTD
sources NDLTD
description The cellular organization of brain tissue is truly complex. This work presents a computational method to identify the principal cell types in threedimensional (3-D) confocal image stacks with multiple fluorescent channels. The cells are classified into four major classes (Neurons, Microglia, Astrocytes and Endothelials) by using a two-step classifier that applies fuzzy c-means clustering followed by Support Vector Machines (SVM). The resulting classification results were validated against a human expert, and the accuracy of the classifier was %95.5 in the correctly segmented nuclei.
title Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets
spellingShingle Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets
title_short Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets
title_full Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets
title_fullStr Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets
title_full_unstemmed Computer-Aided Classification of Cells in Complex Brain Tissue From 5-Channel 3-D Confocal Datasets
title_sort computer-aided classification of cells in complex brain tissue from 5-channel 3-d confocal datasets
publishDate
url http://hdl.handle.net/2047/d10009012
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