Standardized residuals as a function of the predicted base 10 logarithm median fluorescence intensity (MFI) for the four emulated datasets based on standard curves fitted using the four different approaches to treat background noise. Hector Sanz John J. Aponte Jaroslaw Harezlak Yan Dong Aintzane Ayestaran Augusto Nhabomba Maxmillian Mpina Obiang Régis Maurin Núria Díez-Padrisa Ruth Aguilar Gemma Moncunill Agnandij Selidji Todagbe Claudia Daubenberger Carlota Dobaño Clarissa Valim 10.1371/journal.pone.0187901.g006 https://plos.figshare.com/articles/figure/Standardized_residuals_as_a_function_of_the_predicted_base_10_logarithm_median_fluorescence_intensity_MFI_for_the_four_emulated_datasets_based_on_standard_curves_fitted_using_the_four_different_approaches_to_treat_background_noise_/5600725 <p>Points outside of the range specified by the dashed lines are in red and labeled according to the well location in the 96-well plate. (A) Standard curve fitted using “Ignore” background noise method; (B) standard curve fitted including the background noise as an extra point when fitting the curve, using “Include” background method; (C) standard curve fitted subtracting the background noise using the “Subtract” method; (D) standard curve fitted constraining the lower asymptote to the background noise using the “Constraint” method.</p> 2017-11-14 18:41:23 quality control Suboptimal calibration fitness RTS method malaria vaccine multiplex bead-based immunoassays data analysis Multiplex bead-based immunoassays background noise multiplex bead-based immunoassay estimation function SC Phase 3 randomized sample quantification analyte concentration drLumi conduct quality control