Algorithmic systematized neuron cells' morphology evaluation

Alzheimer's disease poses an irreversible, progressive brain disorder. It destroys affected person's memory, thinking skills, behavior and eventually the ability to carry out the simplest tasks. First symptoms of Alzheimer's disease typically appear in people being in their mid-sixties. In preclinical stage of Alzheimer's disease, when a person has no apparent symptoms, toxic type changes can be noticed occurring in the brain. Abnormal deposits of proteins form amyloid plaques and tau tangles throughout the brain, and once-healthy neurons stop functioning, lose connections with other neurons, and die. They manifest neurodegeneration. We propose systematized algorithm for neuron morphology evaluation in neuron images, with the attempt to distinguish healthy from degenerated neurons. This algorithm allows to derive numerical indicators representing abnormalities in neuron morphology examination.