REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.

Based on technologies capable of data collection between the millimeter and nanometer scales, correlative imaging has been transforming how researchers obtain molecular and spatial information from specimens. Attempts to combine multidimensional data are often met with the challenge of overcoming suboptimal sample conditions such as reduced fluorescence signal, poor specimen preservation, anisotropic specimen deformation, and low specimen contrast. These issues motivated the development and use of enhanced sample preparation procedures, as well as specialized imaging software to overcome such challenges. In this work we present three simple methods to correlate optical and scanning electron microscopy images.