ISSN print edition: 0366-6352
ISSN electronic edition: 1336-9075
Registr. No.: MK SR 9/7
An inexpensive, automated and reproducible method to conduct quality control in nanoparticles
Gabrielly Pereira Ribeiro, Rafaela Spessemille Valotto, Jairo Pinto de Oliveira, Marco Cesar Cunegundes Guimarães, and Dominik Lenz
Post Graduation in Pharmaceutical Sciences, Universidade Vila Velha, Vila Velha, Brazil
Received: 13 November 2019 Accepted: 26 February 2020
Multiple methods have been developed to estimate size and shape of nanoparticles from transmission electron microscopy images. However, some of them have limiting characteristics such as hard to use, expensive or have steps that make the results unreal. We present here a comparison of a manual (IMAGEJ) and an automated analysis, both free methods. The gold nanoparticles were synthesized by the traditional Turkevich method using sodium citrate. We used 23 images of gold nanoparticles. The results of our study show that the conglomerated particles can be excluded—given that a sufficient amount of particles is included in the analysis. We show that CellProfiler can be highly efficient to assumptions about size and shape of nanoparticles. These findings provide a new approach of free software that can be applied as machine learning and therefore automate the processing of nanoparticles data.
Keywords: Nanoparticles; CellProfiler; Transmission electron microscopy; Automated analysis
Full paper is available at www.springerlink.com.
Chemical Papers 74 (9) 2821–2824 (2020)
Sunday, December 03, 2023