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 |
| Summary: | 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. |
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