Machine learning-guided high throughput nanoparticle design

<p>Widefield microscopy high content images used for this study. Contains all the intermediate reports in excel result from image analysis and processing:</p> <ul> <li>00_Initial Dataset (DoE): contains all image data used to determine the labels for the first active learning cycle. Nano particle formulations were suggested using deisgn of experiments.</li> <li>01_ML_Iteration01 (Exploration): contains all image data used to determine the labels for the formulations suggested by the first active learning cycle</li> <li>02_ML_Iteration02 (Exploitation): contains all image data used to determine the labels for the formulations suggested by the second active learning cycle</li> <li>03_ML_Iteration03 (Exploration): contains all image data used to determine the labels for last (model validation) experiment. Includes the subsets of particles predicted with low and high uptake.</li> </ul>