XPS for non-destructive depth profiling and 3D imaging of surface nanostructures
β Scribed by Shaaker Hajati; Sven Tougaard
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 514 KB
- Volume
- 396
- Category
- Article
- ISSN
- 1618-2650
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Molecular depth profiling and three-dimensional imaging using cluster projectiles and SIMS have become a prominent tool for organic and biological materials characterization. To further explore the fundamental features of cluster bombardment of organic materials, especially depth resolution and diff
In this paper, we present a new neural network (NN) for three-dimensional (3D) shape reconstruction. This NN provides an analytic mapping of an initial 3D polyhedral model into its projection depth images. Through this analytic mapping, the NN can analytically refine vertices position of the model u
## Abstract Threeβdimensional reconstruction of large tissue volumes using histological thin sections poses difficulties because of registration of sections, section distortion, and the possibility of incomplete data set collection due to section loss. We have constructed an integrated surface imag