Deep learning applied to analyze patterns from evaporated droplets of Viscum album extracts

Abstract This paper introduces a deep learning based methodology for analyzing the self-assembled, fractal-like structures formed in evaporated droplets. To this end, an extensive image database of such structures of the plant extract Viscum album Quercus $$10^{-3}$$ 10 - 3 was used, prepared by thr...

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Bibliographic Details
Main Authors: Carlos Acuña, Alfonso Mier y Terán, Maria Olga Kokornaczyk, Stephan Baumgartner, Mario Castelán
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-19217-1