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Nanoparticle Localization Using Gabor Filters

Published online by Cambridge University Press:  22 July 2022

Andrei Hernández-Robles
Affiliation:
University of Texas at San Antonio, Department of Physics and Astronomy, San Antonio, Texas, United States
Guillermo Bárcena-González
Affiliation:
University of Cádiz, Department of Computer Science and Engineering, Puerto Real, Cádiz, Spain
Álvaro Mayoral
Affiliation:
CSIC-University of Zaragoza, Instituto de Nanociencia y Materiales de Aragón (INMA), Zaragoza, Zaragoza, Spain University of Zaragoza, Advanced Microscopy Laboratory (LMA), University of Zaragoza, Zaragoza, Spain
Pedro L. Galindo
Affiliation:
University of Cádiz, Department of Computer Science and Engineering, Puerto Real, Cádiz, Spain
Arturo Ponce*
Affiliation:
University of Texas at San Antonio, Department of Physics and Astronomy, San Antonio, Texas, United States Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla 72840, México.
*
*Corresponding author: arturo.ponce@utsa.edu

Abstract

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Type
Artificial Intelligence, Instrument Automation, And High-dimensional Data Analytics for Microscopy and Microanalysis
Copyright
Copyright © Microscopy Society of America 2022

References

Gabor, D, Journal of the Institution of Electrical Engineers 93 (1946), p. 429-441. doi:10.1049/ji-3-2.1946.0074Google Scholar
Daugman, J, Journal of the Optical society of America 2 (7) (1985), p. 1160-1169. doi:10.1364/JOSAA.2.001160CrossRefGoogle Scholar
Manjunath, B, IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (8) (1996), p.837-842. doi: 10.1109/34.531803CrossRefGoogle Scholar
Jones, L and Nellist, PD, Microscopy and Microanalysis 19 (4) (2013), p. 1050-1060. doi: 10.1017/S1431927613001402CrossRefGoogle Scholar
AHR thanks to ConTex Doctoral Fellowship program #2019-000027-01EXTF-00125. AM acknowledges the Spanish Ministry of Science through the Ramon y Cajal program (RYC2018-024561-I), to the regional government of Aragon (DGA E13_20R), to the European Union's Horizon 2020 research and innovation program under grant agreement No 823717 – ESTEEM3 and to the National Natural Science Foundation of China (NSFC- 21835002) for funding.Google Scholar