achieves_planned_objective log-log curve fitting A log-log curve fitting is a curve fitting where first a logarithmic transformation is applied both to the x and the y coordinates of the input data points (x_1, y_1), (x_2, y_2), ..., (x_n, y_n), and then coefficients a and b are determined to optimize the fit of log(y)=a+b*log(x) to these input data points. ARTICLE: Plikaytis B.D. et al. (1991), J. Clin. Microbiol. 29(7): 1439-1446 Elisabetta Manduchi James Malone Melanie Courtot Ryan Brinkman Typically used in an enzyme-linked immunosorbent assay (ELISA) to model the relationship between optical density (OD) and dilution. log-log curve fitting curve fitting data transformation curve fitting objective ready for release