Enhancement of Acoustic Microscopy Lateral Resolution: A Comparison Between Deep Learning and Two Deconvolution Methods

Author:

Makra Akos1ORCID,Bost Wolfgang2,Kallo Imre3,Horvath Andras1,Fournelle Marc2,Gyongy Miklos1

Affiliation:

1. Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary

2. Fraunhofer Institute for Biomedical Engineering, Sulzbach, Germany

3. Laboratory of Endocrine Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences (HAS), Budapest, Hungary

Funder

Pázmány University

European Social Fund

NTP-NFTÖ-17 Young Talent Scholarship

ÚNKP-18-3 New National Excellence Program through the Hungarian Ministry of Human Capacities

János Bolyai Scholarship of the Hungarian Academy of Sciences and the Hungarian National Research, Development and Innovation Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

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