Vortex-like Vs. Turbulent Mixing Of A Viscum Album Preparation Affects Crystalline Structures Formed In Dried Droplets

This article discusses the use of deep learning for the evaluation of patterns formed in dried solution droplets, specifically in the context of the droplet evaporation method (DEM). The study demonstrates that deep learning can provide rapid and objective image classification, offering substantial support for advancing further DEM applications. Three variants of Viscum album Quercus L. (VaQ) 3× were prepared using different mixing methodologies and were analyzed using visual inspection, computer-assisted analysis, and deep learning-based classification, all of which yielded consistent conclusions.