AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

[Image: see text] The synthesis quality of artificial inorganic nanocrystals is most often assessed by transmission electron microscopy (TEM) for which high-throughput advances have dramatically increased both the quantity and information richness of metal nanoparticle (mNP) characterization. Existi...

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Detalles Bibliográficos
Autores principales: Wang, Xingzhi, Li, Jie, Ha, Hyun Dong, Dahl, Jakob C., Ondry, Justin C., Moreno-Hernandez, Ivan, Head-Gordon, Teresa, Alivisatos, A. Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988451/
https://www.ncbi.nlm.nih.gov/pubmed/33778811
http://dx.doi.org/10.1021/jacsau.0c00030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988451/
https://www.ncbi.nlm.nih.gov/pubmed/33778811
http://dx.doi.org/10.1021/jacsau.0c00030

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