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

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 [Formula: see text] was used, prepared by three diffe...

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Detalles Bibliográficos
Autores principales: Acuña, Carlos, Mier y Terán, Alfonso, Kokornaczyk, Maria Olga, Baumgartner, Stephan, Castelán, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468023/
https://www.ncbi.nlm.nih.gov/pubmed/36097279
http://dx.doi.org/10.1038/s41598-022-19217-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468023/
https://www.ncbi.nlm.nih.gov/pubmed/36097279
http://dx.doi.org/10.1038/s41598-022-19217-1

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