Enhanced sensitivity of nanoscale subsurface imaging by photothermal excitation in atomic force microscopy.


Journal

The Review of scientific instruments
ISSN: 1089-7623
Titre abrégé: Rev Sci Instrum
Pays: United States
ID NLM: 0405571

Informations de publication

Date de publication:
01 Jun 2020
Historique:
entrez: 3 7 2020
pubmed: 3 7 2020
medline: 3 7 2020
Statut: ppublish

Résumé

Photothermal excitation of the cantilever for use in subsurface imaging with atomic force microscopy was compared against traditional piezoelectric excitation. Photothermal excitation alleviates issues commonly found in traditional piezoelectrics such as spurious resonances by producing clean resonance peaks through direct cantilever excitation. A calibration specimen consisting of a 3 × 3 array of holes ranging from 200 to 30 nm etched into silicon and covered by graphite was used to compare these two drive mechanisms. Photothermal excitation exhibited a signal-to-noise ratio as high as four times when compared to piezoelectric excitation, utilizing higher eigenmodes for subsurface imaging. The cleaner and sharper resonance peaks obtained using photothermal excitation revealed all subsurface holes down to 30 nm through 135 nm of graphite. In addition, we demonstrated the ability of using photothermal excitation to detect the contact quality variation and evolution at graphite-polymer interfaces, which is critical in graphene-based nanocomposites, flexible electronics, and functional coatings.

Identifiants

pubmed: 32611036
doi: 10.1063/5.0004628
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

063703

Auteurs

Kevin Yip (K)

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada.

Teng Cui (T)

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada.

Tobin Filleter (T)

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada.

Classifications MeSH