A Better Method for Volume Determination of Regularly and Irregularly Shaped Nanoparticles with Enhanced Accuracy
Ravi Kiran Attota

TL;DR
This paper introduces a new, efficient method for accurately estimating the volume of both regular and irregular nanoparticles by combining measurements from top-down projection areas and peak heights, outperforming traditional techniques.
Contribution
A novel statistical approach that integrates measurements from multiple tools to improve nanoparticle volume estimation accuracy and throughput.
Findings
The combined method is faster and more economical than electron tomography.
SEM provides more accurate size estimates than AFM for most irregular NPs.
The method enhances high-throughput volumetric measurements for diverse NPs.
Abstract
Nanoparticles (NPs) are widely used in diverse application areas, such as medicine, engineering, and cosmetics. The size (or volume) of NPs is one of the most important parameters for their successful application. It is relatively straightforward to determine the volume of regular NPs such as spheres and cubes from a one-dimensional or two-dimensional measurement. However, due to the three-dimensional nature of NPs, it is challenging to determine the proper physical size of many types of regularly and irregularly-shaped NPs (IS-NPs) at high-throughput using a single tool. Here, we present a relatively simple method that statistically determines a better volume estimate of many types of NPs by combining measurements from their top-down projection areas and peak-heights using two tools. The proposed method is significantly faster and more economical than the electron tomography method. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCharacterization and Applications of Magnetic Nanoparticles · Nanoparticle-Based Drug Delivery · Electrostatics and Colloid Interactions
