Estimating the concentration of gold nanoparticles incorporated on natural rubber membranes using multi-level starlet optimal segmentation

Author(s)

de Siqueira, A. F. ^[1] ; Cabrera, F. C. ^[1] ; Pagamisse, A. ^[2] ; Job, A. E. ^[1]

Affiliation

^[1] UNESP Univ Estadual Paulista, Dept Fis Quim & Biol, Presidente Prudente, SP - Brazil

^[2] UNESP Univ Estadual Paulista, Dept Matemat & Comp, Presidente Prudente, SP - Brazil

• Document type: Journal article
• Source: JOURNAL OF NANOPARTICLE RESEARCH; v. 16, n. 12 DEC 2014.
• Web of Science Citations: 1

Abstract

This study consolidates multi-level starlet segmentation (MLSS) and multi-level starlet optimal segmentation (MLSOS) techniques for photomicrograph segmentation, based on starlet wavelet detail levels to separate areas of interest in an input image. Several segmentation levels can be obtained using MLSS; after that, Matthews correlation coefficient is used to choose an optimal segmentation level, giving rise to MLSOS. In this paper, MLSOS is employed to estimate the concentration of gold nanoparticles with diameter around 47 nm, reduced on natural rubber membranes. These samples were used for the construction of SERS/SERRS substrates and in the study of the influence of natural rubber membranes with incorporated gold nanoparticles on the physiology of Leishmania braziliensis. Precision, recall, and accuracy are used to evaluate the segmentation performance, and MLSOS presents an accuracy greater than 88 % for this application. (AU)

• FAPESP's process: 11/09438-3 - PROCESSING OF PHOTOMICROGRAPHS USING THE STARLET WAVELET TRANSFORM
• Grantee: Alexandre Fioravante de Siqueira
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 10/20496-2 - Characterization of Epidote through SEM, Micro-raman Espectroscopy, Differential Scanning Calorimetry, Optical Microscopy and annealing and entropy studies through Fission Track Method
• Grantee: Wagner Massayuki Nakasuga
• Support Opportunities: Scholarships in Brazil - Doctorate