Work

Three-dimensional visualization of large-area, nanoscale topography measurements

Year: 2024

Type: article

Abstract: High-resolution metrology is a critical area of development for nanoscale manufacturing, especially as it affects production throughput and fabrication quality. Atomic force microscopy (AFM) is one of the most popular tools for nanometrology, and high-resolution AFM often requires a significant time commitment and produces datasets of several million points. It is therefore critical for the development of data processing techniques to keep pace with the requirements of analyzing this type of data, and for these techniques to be portable as miniaturization in AFM is becoming more common. This work presents a data fitting algorithm designed for reducing the parameters of large-area data sets which utilizes well-established spline fitting techniques. In this paper we show that basis-spline fitting can be used to accurately represent large AFM data sets, including data sets with noisy data and sharp features, while achieving at least 90% parameter reduction in all test cases.

Source: Nanotechnology

DOI: 10.1088/1361-6528/ad8165

Authors: Eva Natinsky, Liam G. Connolly, Michael Cullinan

Institution: The University of Texas at Austin

Language: English

Topic: Force Microscopy Techniques and Applications

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,165

Funder: National Science Foundation Graduate Research Fellowship Program