Spot identification in two-dimensional patterns by a least-squares template matching.
The coordinates of the center of measured spots are nonlinearly transformed to get an optimal match between the transformed coordinates and the given coordinates of a reference pattern. The parameters of the transformation are determined by the minimum of a function of squared distances between all spots of the sample and of the reference pattern. The algorithm requires a priori defined correspondences between some pivot points in the sample and the reference and treats their distances differently from the others. The parameters of the transformation are the solutions of a system of nonlinear equations; their numerical values are obtained by iteration.
D000596:Amino Acids / Q000032:analysis; D000818:Animals; D004586:Electrophoresis / Q000379:methods*; D008433:Mathematics; D051381:Rats; D012016:Reference Values; D012984:Software
D000596:Amino Acids