Cargando…
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...
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 |
Ejemplares similares
-
An in-vivo pilot study into the effects of FDG-mNP in cancer in mice
por: Aras, Omer, et al.
Publicado: (2018) -
Pheromone Autodetection: Evidence and Implications
por: Holdcraft, Robert, et al.
Publicado: (2016) -
Using Graphene Liquid Cell Transmission Electron Microscopy to Study in Situ Nanocrystal Etching
por: Hauwiller, Matthew R., et al.
Publicado: (2018) -
Compte rendu de la reunion du 7 février 1992: Revision des aimants (ex NP) reserves aux faisceaux de la tone est : MNP19, MNP23, MNP35
por: Danloy, L
Publicado: (1992) -
Comparative study of Episure™ AutoDetect™ syringe versus glass syringe for identification of epidural space in lower thoracic epidural
por: Joseph, Edward Johnson, et al.
Publicado: (2015)