High-veracity functional imaging in scanning probe microscopy via Graph-Bootstrapping.

ABSTRACT: The key objective of scanning probe microscopy (SPM) techniques is the optimal representation of the nanoscale surface structure and functionality inferred from the dynamics of the cantilever. This is particularly pertinent today, as the SPM community has seen a rapidly growing trend towards simultaneous capture of multiple imaging channels and complex modes of operation involving high-dimensional information-rich datasets, bringing forward the challenges of visualization and analysis, particularly for cases where the underlying dynamic model is poorly understood. To meet this challenge, we present a data-driven approach, Graph-Bootstrapping, based on low-dimensional manifold learning of the full SPM spectra and demonstrate its successes for high-veracity mechanical mapping on a mixed poly

SUBMITTER: Li X 

PROVIDER: S-EPMC6013493 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature