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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-09-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-19217-1 |