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Image-based crystal detection: a machine-learning approach
The ability of computers to learn from and annotate large databases of crystallization-trial images provides not only the ability to reduce the workload of crystallization studies, but also an opportunity to annotate crystallization trials as part of a framework for improving screening methods. Here...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
International Union of Crystallography
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2585161/ https://www.ncbi.nlm.nih.gov/pubmed/19018095 http://dx.doi.org/10.1107/S090744490802982X |