High-veracity functional imaging in scanning probe microscopy via Graph-Bootstrapping
Scanning probe microscopy methods can generate high-dimensional data sets that correspond to a low-dimensional sample. Here, Li et al. develop a graphical bootstrapping method to quantitatively visualize large-scale high-dimensional datasets.
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/de694292df6149618162800cc85b6773 |
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| Sumario: | Scanning probe microscopy methods can generate high-dimensional data sets that correspond to a low-dimensional sample. Here, Li et al. develop a graphical bootstrapping method to quantitatively visualize large-scale high-dimensional datasets. |
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