Issue 16, 2015

Large area quantitative analysis of nanostructured thin-films

Abstract

1-D nanostructured thin-films exhibit, amongst other properties, unique mechanical, electrical, thermal, and optical properties. These depend strongly on several aspects, including size, dimension and density. A thorough characterization of a nanostructured film requires extensive time and is a great effort in terms of human resources. This article presents a facile implementation of an automatic quantitative method for the characterization of nanostructured thin-films using a SEM image-based automatic characterization solution to evaluate the size distribution and surface area (areal density) of assembled structures on a large scale. The implemented solution has been used to evaluate electrochemically deposited zinc oxide nanorod thin-films as well as additional inorganic thin-films. To validate the results, the proposed characterization method was compared with manual small-scale characterization methods.

Graphical abstract: Large area quantitative analysis of nanostructured thin-films

Supplementary files

Article information

Article type
Paper
Submitted
09 Dec 2014
Accepted
09 Jan 2015
First published
09 Jan 2015

RSC Adv., 2015,5, 12409-12415

Large area quantitative analysis of nanostructured thin-films

R. Sliz, C. Eneh, Y. Suzuki, J. Czajkowski, T. Fabritius, P. Kathirgamanathan, A. Nathan, R. Myllyla and G. Jabbour, RSC Adv., 2015, 5, 12409 DOI: 10.1039/C4RA16018E

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements