An iterative method is suggested to estimate true labelling index even when background and experimental (background + true labelling) grain count distributions appear to be incompatible, generally a result of unavoidably insufficient counting in routine work. A computer program applying the iterative method has been written in Fortran IV for an IBM 1130 machine. This program, available on request, displays grain count distributions before as well as after correction and computes the labelling index and average grain count per labelled cell, with respective variance and standard errors.
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