DocumentCode
3687908
Title
Innovative data treatment routines for atomic force microscopy force curves
Author
Rami Klaimi;Karim El Kirat
Author_Institution
Sorbonne University, Université
fYear
2015
Firstpage
234
Lastpage
237
Abstract
The atomic force microscopy (AFM) is an important innovation in the sample imaging fields, the signals extracted from the AFM such as the force as function of the indentation and the friction as function of the indentation can be used to extract many chemical and mechanical properties of the sample. Nanoscientists analyze these signals manually; the aim of this article is to find new algorithms to automatically analyze AFM signals.
Keywords
"Force","Nanobioscience","Wavelet transforms","Friction","Algorithm design and analysis","Biomedical engineering","Microscopy"
Publisher
ieee
Conference_Titel
Advances in Biomedical Engineering (ICABME), 2015 International Conference on
ISSN
2377-5688
Electronic_ISBN
2377-5696
Type
conf
DOI
10.1109/ICABME.2015.7323295
Filename
7323295
Link To Document