We describe a computational approach for the automaticrecognition and classification of atomic species in scanningtunnelling microscopy images. The approach is based on apipeline of image processing methods in which the classifica-tion step is performed by means of a Fuzzy Clustering algo-rithm. As a representative example, we use the computationaltool to characterize the nanoscale phase separation in thinfilms of the Fe-chalcogenide superconductor FeSexTe1-x,start-ing from synthetic data sets and experimental topographies.We quantify the stoichiometry fluctuations on length scalesfrom tens to a few nanometres.
An automatic method for atom identification in Scanning Tunneling Microscopy images of Fe-chalcogenide superconductors / Perasso, A.; Toraci, C.; Massone, A. M.; Piana, M.; Gerbi, A.; Buzio, R.; Kawale, S.; Bellingeri, E.; Ferdeghini, C.. - In: JOURNAL OF MICROSCOPY. - ISSN 0022-2720. - STAMPA. - 260(2015), pp. 302-311.
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Titolo: | An automatic method for atom identification in Scanning Tunneling Microscopy images of Fe-chalcogenide superconductors |
Autori: | |
Data di pubblicazione: | 2015 |
Rivista: | |
Citazione: | An automatic method for atom identification in Scanning Tunneling Microscopy images of Fe-chalcogenide superconductors / Perasso, A.; Toraci, C.; Massone, A. M.; Piana, M.; Gerbi, A.; Buzio, R.; Kawale, S.; Bellingeri, E.; Ferdeghini, C.. - In: JOURNAL OF MICROSCOPY. - ISSN 0022-2720. - STAMPA. - 260(2015), pp. 302-311. |
Handle: | http://hdl.handle.net/11567/841037 |
Appare nelle tipologie: | 01.01 - Articolo su rivista |