Methods for separation of contributions from two radionuclides in autoradiography with a silicon strip detector

Abstract

Two methods have been developed for the separation of contributions from two different nuclides in an autoradiography picture. Both approaches, a modified least squares (LS) and a maximum likelihood (ML) algorithm, are based on the position and energy information available from a digital detector. Tests and comparisons, using artificially as well as measured data, demonstrate that the ML approach performs slightly better, but is much more computationally demanding than the LS method.