Nanoparticle shapes: Quantification by elongation, convexity and circularity measures

Author:

Kopanja Lazar12,Lončar Boris1,Žunić Dragiša3,Tadić Marin4

Affiliation:

1. Faculty of Technology and Metallurgy , University of Belgrade , Karnegijeva 4, PO Box 3503, 11120 Belgrade , Serbia

2. Faculty of Mathematics and Computer Science , Alfa BK University , Palmira Toljatija 3, 11070 Belgrade , Serbia

3. Carnegie Mellon University in Qatar , Education City, P.O. Box 24866, Doha , Qatar

4. Condensed Matter Physics Laboratory , Vinca Institute , University of Belgrade , P.O. Box 522, 11001 Belgrade , Serbia

Abstract

Abstract The goal of the nanoparticle synthesis is, first of all, the production of nanoparticles that will be more similar in size and shape. This is very important for the possibility of studying and applying nanomaterials because of their characteristics that are very sensitive to size and shape such as, for example, magnetic properties. In this paper, we propose the shape analysis of the nanoparticles using three shape descriptors – elongation, convexity and circularity. Experimental results were obtained by using TEM images of hematite nanoparticles that were, first of all, subjected to segmentation in order to obtain isolated nanoparticles, and then the values of elongation, convexity and circularity were measured. Convexity C x(S) is regarded as the ratio between shape’s area and area of the its convex hull. The convexity measure defines the degree to which a shape differs from a convex shape while the circularity measure defines the degree to which a shape differs from an ideal circle. The range of convexity and circularity values is (0, 1], while the range of elongation values is [1, ∞). The circle has lowest elongation (ε = 1), while it has biggest convexity and circularity values (C x = 1; C = 1). The measures ε(S), C x(S), C(S) proposed and used in the experiment have the few desirable properties and give intuitively expected results. None of the measures is good enough to describe all the shapes, and therefore it is suggested to use a variety of measures so that the shapes can be described better and then classify and control during the synthesis process.

Publisher

Walter de Gruyter GmbH

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