¹Technical University of Cluj-Napoca, Faculty of Mechanical Engineering, Department of AET, Discipline of Descriptive Geometry and Engineering Graphics, 103-105 B-dul Muncii St., Cluj- Napoca 400641, Cluj, Romania.

²Universidad Autonoma del Estado de Mexico, Facultad de Odontologia, Centro de Investigacion y Estudios Avanzados en Odontologia, Mexico, C.P. 50130, Mexico.

³Universidad Nacional Autonoma de Mexico, Facultad de Odontologia, Laboratorio de Biologia Periodontal y Tejidos Mineralizados, Mexico.

Corresponding Author: Dr. Rosalia Contreras- Bulnes Universidad Autonoma del Estado de Mexico, Facultad de Odontologia, Centro de Investigacion y Estudios Avanzados en Odontologia, Mexico, C.P. 50130, Mexico. Tel: (52)7222124351,

E-mail: [email protected]

Received Date: 20 Jan 2016 
Accepted Date: 01 Mar 2016 
Published Date: 16 Mar 2016
Copyright © 2016 Contreras-Bulnes R

Citation: Stefan Talu, Contreras-Bulnes R, RodriguezVilchis LM and Montoya-Ayala G. (2016). Morphological Characterization of Human Dental Enamel Irradiated with Er:YAG Laser using the Statistical Functions. Mathews J Dentistry. 1(1): 005.

 

ABSTRACT

Purpose The aim of this study was to estimate the effect of irradiation with the Er:YAG laser on the surface nanomorphology of human dental enamel using the statistical functions. The surface nanomorphology was recorded by atomic force microscopy (AFM), and the data were estimated by statistical functions. 
Materials and methods Two samples of human dental enamel were divided into two groups: a) group I was irradiated with the Er:YAG and no water irrigation with next 25.5 J/cm2 energy density; b) group II was the control (no laser irradiation or control). The nanomorphology changes were observed by AFM in contact mode, in air, on square areas of topography on the 1 µm * 1 µm. Based on AFM data and applying the computational algorithms, the statistical functions were plotted.
Results The local scale properties of human dental enamel at nanometric level were estimated with the statistical functions. The graphical results showed the local and global non-uniformity of the surface patterns. The one way analysis of variance (ANOVA) was performed (P < 0.05) to distinguish significant differences among the groups.
Conclusions The computational algorithm indicated that the surface nanomorphology differ significantly of these two groups. AFM and the statistical functions applied for surface roughness provide important information about the surface nanomorphology to characterize of non-uniform micro-distributions from the 3-D surface of the human dental enamel.

KEYWORDS

Atomic Force Microscopy; Human Dental Enamel; Er:YAG Laser Image Analysis, Statistical Functions; Surface Nanomorphology; Surface Roughness.