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Crystal search – feasibility study of a real-time deep learning process for crystallization well images
To avoid the time-consuming and often monotonous task of manual inspection of crystallization plates, a Python-based program to automatically detect crystals in crystallization wells employing deep learning techniques was developed. The program uses manually scored crystallization trials deposited i...
Autores principales: | Thielmann, Yvonne, Luft, Thorsten, Zint, Norbert, Koepke, Juergen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317135/ https://www.ncbi.nlm.nih.gov/pubmed/37265048 http://dx.doi.org/10.1107/S2053273323001948 |
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