Automated quantification of one-dimensional nanostructure alignment on surfaces.
Jianjin Dong1, Irene A Goldthorpe, Nasser Mohieddin Abukhdeir
1Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada. Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, Canada.
Nanotechnology
|April 28, 2016
Summary
This study introduces automated methods to precisely measure the alignment of one-dimensional nanostructures in microscopy images. These advanced techniques enable accurate comparison of nanostructure alignment across different samples for nanoscience applications.
Area of Science:
- Nanoscience and Nanotechnology
- Materials Science
- Image Analysis
Background:
- Quantifying the alignment of one-dimensional (1D) nanostructures is crucial for understanding structure-property relationships.
- Existing methods often struggle with complex microscopy images, especially those with overlapping nanostructures.
- Accurate alignment metrics are needed for reliable analysis in nanotechnology research.
Purpose of the Study:
- To develop and present a robust method for the automated quantification of 1D nanostructure alignment from microscopy data.
- To formulate new nanostructure alignment metrics capable of rigorously assessing orientational order on surfaces.
- To enable quantitative comparison of alignment characteristics between different nanostructure samples.
Main Methods:
- Development of novel alignment metrics for quantifying orientational order of 1D nanostructures in a 2D domain.
- Implementation of a complementary image processing technique for handling microscopy images with overlapping nanostructures.
- Analysis of Scanning Electron Microscopy (SEM) images of nanowire-covered surfaces using the developed methods.
Main Results:
- Demonstrated insufficiency of single-parameter alignment metrics for highly aligned nanostructure domains.
- Established the feasibility of automated quantitative analysis of SEM images using multiple-parameter alignment metrics.
- Showcased the ability to quantitatively compare alignment characteristics of different samples via a similarity metric.
Conclusions:
- The presented automated quantification method provides a rigorous approach for analyzing nanostructure alignment.
- This work offers a valuable tool for researchers in nanoscience and nanotechnology to determine structure/property relationships.
- The developed metrics and methods enhance the quantitative analysis of microscopy images for nanostructure characterization.
