AFM-Raman & TERS

Atomic Force Microscopy (AFM) provides a variety of nanometric characterizations such as topography, conductivity, and thermal measurements. While very effective at measuring certain properties, AFM can not identify the chemical composition of a given material. Raman spectroscopy, however, has emerged as a critical technique in the field of chemical characterization, accurately identifying and classifying materials in a number of diverse fields and industries such as: material science, chemistry, biophysics, semiconductors, and many more.

Harnessing the power of these two techniques enables a synergistic and holistic analysis of a given material. As early as 2001, Nanonics Imaging exhibited the foresight to combine the advantages of AFM and Raman by providing an integrated platform. The joint AFM-Raman system allows for the strength and versatility of all modes of AFM (including mechanical, thermal, SECM, and electrical) combined with the chemical characterization of Raman. Nearly two decades later, Nanonics Imaging continues to be at the vanguard of integrated optical AFM-Raman systems, providing solutions in the most challenging areas of research and in the most innovative fields in applied sciences: graphene and 2D materials, carbon nanotubes, semiconductor metrology, and molecular biology.

Key Features

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Methods & Results

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AFM Raman


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Which Nanonics system configuration is right for your AFM-Raman Research?


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Read exemplary, peer-reviewed literature on studies using Nanonics AFM-Raman systems

Local hole doping concentration modulation on graphene probed by tip-enhanced Raman spectroscopy
Iwasaki, T., Zelai, T., Ye, S., Tsuchiya, Y., Chong, H. M., & Mizuta, H
Carbon 111 (2017): 67-73.


Quantifying Defect Densities in Monolayer Graphene Using Near-field Coherence Measurements.
Naraghi, R. R., Cançado, L. G., Salazar-Bloise, F., & Dogariu, A.
Frontiers in Optics, pp. FF5B-3. Optical Society of America, 2016.
Sn–and SnO 2–graphene flexible foams suitable as binder-free anodes for lithium ion batteries.
Botas, Cristina, Daniel Carriazo, Gurpreet Singh, and Teófilo Rojo.
Journal of Materials Chemistry A 3, no. 25 (2015): 13402-13410.


Enhanced graphene photodetector with fractal metasurface
Fang, Jieran, Di Wang, Clayton T. DeVault, Ting-Fung Chung, Yong P. Chen, Alexandra Boltasseva, Vladimir M. Shalaev, and Alexander V. Kildishev.
Nano letters 17, no. 1 (2016): 57-62.

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