EMAIL THIS PAGE TO A FRIEND

Journal of microscopy

Scanning electron microscopy image representativeness: morphological data on nanoparticles.


PMID 27571322

Abstract

A sample of a nanomaterial contains a distribution of nanoparticles of various shapes and/or sizes. A scanning electron microscopy image of such a sample often captures only a fragment of the morphological variety present in the sample. In order to quantitatively analyse the sample using scanning electron microscope digital images, and, in particular, to derive numerical representations of the sample morphology, image content has to be assessed. In this work, we present a framework for extracting morphological information contained in scanning electron microscopy images using computer vision algorithms, and for converting them into numerical particle descriptors. We explore the concept of image representativeness and provide a set of protocols for selecting optimal scanning electron microscopy images as well as determining the smallest representative image set for each of the morphological features. We demonstrate the practical aspects of our methodology by investigating tricalcium phosphate, Ca

Related Materials

Product #

Image

Description

Molecular Formula

Add to Cart

33972
3,5,6-Trichloro-2-pyridinol, PESTANAL®, analytical standard
C5H2Cl3NO