Use this resource - and many more! - in your textbook!
AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.
A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples
1998 / IEEE / 0-7803-4778-1
This item was taken from the IEEE Conference ' A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples ' Neuron count in various brain structures is an important factor in many neurobiological studies. We describe a machine vision system which uses color images for the automated classification and counting of neurons in tissue samples. Samples are sliced into registered sections whose thickness is on the order of the diameter of a neuronal nucleus. Sections are stained so that the spectral transmission functions of the neuronal nuclei differ from the surrounding tissue. Each section is imaged using a light microscope. A Bayesian classifier is used for pixel labeling and a geometric analysis routine is employed to segment neuron regions in each section. The 3-D tissue sample is reconstructed using registered neuron regions from each section. An object-oriented database management system provides an efficient framework for cataloging neuron classes. Experimental results are presented and compared with results obtained by a histologist.
3-d Tissue Sample
Object-oriented Database Management System
Color Computer Vision Methods
Medical Image Processing
3d Brain Tissue Samples