Interpolation of the cross-sectional area of a premotor neuron in a silkworm moth brain using the ellipse model

This paper presents a proposal of a method for interpolation of cross-sectional area of a premotor neuron in a silkworm moth brain for form reconstruction of the neuron. We have proposed a method for the automatic interpolation of partial deficiencies which occur in extraction processes of the form of a neuron because of noise in CLSM images. However, because this method presupposes approximation of a neuron form as a cylinder model, interpolation of a cross-sectional area of a neuron is insufficient. The cross-sectional area of a neuron yields important information for structure elucidation of the neuron because the expression site and transfer rate of the action potential depend on the cross-sectional area of a neuron. The cross-sectional area is interpolated using the proposed method, which approximates the cross-sectional area of a neuron using the ellipse model. The proposed method applies the task of interpolation of the cross-sectional area of the artificial images to verify the availability of the method.