Data acquisition and imaging using wavelet transform: a new path for high speed transient force microscopy

Amir Farokh Payam (Lead / Corresponding author), Pardis Biglarbeigi, Alessio Morelli, Patrick Lemoine, James Mclaughlin, Dewar Finlay

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
49 Downloads (Pure)

Abstract

The unique ability of Atomic Force Microscopy (AFM) to image, manipulate and characterize materials at the nanoscale has made it a remarkable tool in nanotechnology. In dynamic AFM, acquisition and processing of the photodetector signal originating from probe-sample interaction is a critical step in data analysis and measurements. However, details of such interaction including its nonlinearity and dynamics of the sample surface are limited due to the ultimately bounded bandwidth and limited time scales of data processing electronics of standard AFM. Similarly, transient details of the AFM probe's cantilever signal are lost due to averaging of data by techniques which correlate the frequency spectrum of the captured data with a temporally invariant physical system. Here, we introduce a fundamentally new approach for dynamic AFM data acquisition and imaging based on applying the wavelet transform on the data stream from the photodetector. This approach provides the opportunity for exploration of the transient response of the cantilever, analysis and imaging of the dynamics of amplitude and phase of the signals captured from the photodetector. Furthermore, it can be used for the control of AFM which would yield increased imaging speed. Hence the proposed method opens a pathway for high-speed transient force microscopy.

Original languageEnglish
Pages (from-to)383-398
Number of pages16
JournalNanoscale Advances
Volume3
Issue number2
Early online date10 Sept 2020
DOIs
Publication statusPublished - 21 Jan 2021

ASJC Scopus subject areas

  • Bioengineering
  • General Chemistry
  • Atomic and Molecular Physics, and Optics
  • General Materials Science
  • General Engineering

Fingerprint

Dive into the research topics of 'Data acquisition and imaging using wavelet transform: a new path for high speed transient force microscopy'. Together they form a unique fingerprint.

Cite this