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Design of an FPGA-Based Controller for Fast Scanning Probe Microscopy.

Leonardo Gregorat^1,2, Marco Cautero^2,3, Sergio Carrato¹

¹DIA (Dipartimento di Ingegneria e Architettura), University of Trieste, 34127 Trieste, Italy.

Sensors (Basel, Switzerland)

|September 28, 2024

Summary

This summary is machine-generated.

A new instrument significantly speeds up atomic-scale imaging with scanning probe microscopy, enabling real-time tracking of atoms and surface dynamics for nanostructure research.

Keywords:

atom tracking digital signal processing fast scanning tunneling microscopy field programmable gate array scanning probe microscopy

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Area of Science:

Surface Science
Nanotechnology
Microscopy

Background:

Scanning probe microscopy (SPM) is crucial for analyzing nanostructured surfaces.
Current SPM techniques have slow image acquisition times (seconds to minutes), limiting the study of rapid dynamic processes.
Fast surface dynamics, like restructuring and sintering, occur on sub-second timescales.

Purpose of the Study:

To develop a novel instrument to overcome the time resolution limitations of SPM.
To enable atomic-scale imaging with significantly accelerated acquisition times.
To facilitate the tracking of dynamic features on surfaces, termed 'atom tracking'.

Main Methods:

Redesigned field programmable gate array (FPGA)-based instrument for integration with commercial SPM systems.
Implementation of sophisticated control and acquisition algorithms executed in parallel on the FPGA.
Fast data exchange between the FPGA and an external processor.

Main Results:

Orders-of-magnitude acceleration in atomic-scale image acquisition.
Enabled real-time tracking of mobile surface features like adatoms and vacancies ('atom tracking').
Demonstrated feasibility of observing dynamic processes previously limited by temporal resolution.

Conclusions:

The developed FPGA-based instrument dramatically enhances SPM capabilities for studying dynamic nanostructures.
This advancement allows for unprecedented real-time observation of atomic-scale surface processes.
The technology opens new avenues for investigating material properties and surface evolution at the atomic level.