RT journal article
T1 TEMAS: A Flexible Non-AI Algorithm for Metrology of Single-Core and Core-Shell Nanoparticles from TEM Images
A1 Sáenz Noval, Jorge Johanny
A1 Gómez-Merchán, Rubén
A1 Leñero Bardallo, Juan Antonio
A1 Cervera Gontard, Lionel
A2 Física de la Materia Condensada
K1 electron microscopy
K1 nanometrology
K1 nanoparticles
K1 template matching
K1 transmission electron microscopy
AB An essential application of electron microscopy is to provide feedback to tune the fabrication of nanoparticles (NPs). Real samples tend to follow a size distribution commonly linked to the synthesis process used and in turn to their functional properties. This study presents an algorithm for measuring particle size distributions in electron microscopy images. State-of-the-art methods based on Artificial Intelligence (e.g., Deep Learning) require extensive datasets of labeled images similar to those expected to be analyzed, and extensive supervised re-training is often required for cross-domain application. In contrast, the non-AI algorithm described in this study is accurate and can be quickly set up for measuring new experimental images in different domains. The accuracy of the method is validated quantitatively and comparing graphical and descriptive statistics. Different size distributions are measured on images of platinum and gold nanocatalysts supported on carbon black, amorphous carbon, and titanium dioxide crystals. Also, images of platinum-iron core-shell NPs supported on thin amorphous carbon film are successfully analyzed. The limitation of evaluating different algorithms for NPs metrology is the lack of standards that different researchers can use as ground truth. In order to overcome this limitation, the images and the ground truth measurements presented here are shared as an open dataset. © 2023 The Authors. Particle & Particle Systems Characterization published by Wiley-VCH GmbH.
PB WILEY
SN 1521-4117
YR 2023
FD 2023
LK http://hdl.handle.net/10498/28018
UL http://hdl.handle.net/10498/28018
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026