Development and application of a three-dimensional artificial visual system.
A three-dimensional artificial visual system has been developed to aid in the analysis of 3-D fluorescence images of smooth muscle cells. The system consists of three sets of 3-D spatial filters that decompose the image to enable a simple recombination algorithm to locate the discrete bodies of protein concentration in a cell, classify the concentration bodies as globular or oval, and determine the 3-D orientation of the oval bodies. A graphic model of the protein concentration is created from the data provided by the artificial visual system. Patterns of organization in the distribution of the protein bodies are investigated using an interactive graphics system.
D000818:Animals; D001185:Artificial Intelligence; D003201:Computers; D006801:Humans; D008856:Microscopy, Fluorescence; D008954:Models, Biological; D009124:Muscle Proteins / Q000378:metabolism; D009130:Muscle, Smooth / Q000378:metabolism / Q000648:ultrastructure; D010363:Pattern Recognition, Automated; D014785:Vision, Ocular
D009124:Muscle Proteins