Improving AFM images with harmonic interference by spectral analysis

Area of Science:

• Materials Science
• Physics
• Nanotechnology

Background:

• Atomic force microscopy (AFM) is crucial for high-resolution nanoscale imaging.
• AFM is highly susceptible to external and internal noise, impacting data quality.
• Harmonic disturbances from AFM controllers can significantly degrade images.

Purpose of the Study:

• To propose and evaluate a novel post-processing method for reducing harmonic disturbances in AFM images.
• To compare the effectiveness of the proposed method against existing harmonic cancellation techniques.
• To improve the reliability and quality of nanoscale imaging data.

Main Methods:

• Spectrum analysis of scanned AFM images using Fourier transform.
• Comparison with other harmonic cancellation methods: median filtering, wavelet denoising, and Savitzky-Golay smoothing.
• Application to images of conductive layers acquired in contact AFM mode.

Main Results:

• The proposed Fourier transform-based spectrum analysis method demonstrated superior productivity in harmonic cancellation.
• The post-processing approach effectively reduces harmonic disturbances without altering original measurements.
• The method proved more effective than median filtering, wavelet denoising, and Savitzky-Golay smoothing.

Conclusions:

• Spectrum analysis via Fourier transform offers a highly effective post-processing solution for harmonic disturbances in AFM.
• This method enhances the quality of nanoscale images, particularly for conductive layers in contact mode.
• The technique provides a valuable tool for improving AFM data reliability and analysis.