Details

Autor(en) / Beteiligte

• Shvedchenko, D. O.
• Suvorova, E. I.

Titel

New method of automated statistical analysis of polymer-stabilized metal nanoparticles in electron microscopy images

Ist Teil von

• Crystallography reports, 2017-09, Vol.62 (5), p.802-808

Ort / Verlag

Moscow: Pleiades Publishing

Erscheinungsjahr

2017

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The efficiency of the synthesis and application of metal/nonmetal particles several nanometers in size, prepared in solutions and stabilized with polymers, can be increased by applying a reliable statistical analysis and determining particle-size distributions for different systems. A new method for processing electron microscopy images of nanoparticles ≤10 nm in size and the program Analyzer of Nanoparticles designed for rapid recognition and measurements are presented. The program combines two approaches: threshold image processing for particle recognition and fitting the model of the particles with neighborhood background to the real experimental images.