Giovanni Volpe

GU, Sweden

ACADEMIC EXPERIENCE
2020 – Full Professor
@ Physics Department, Gothenburg University, Sweden

2018 – Docent in Physics (Habilitation)
@ Physics Department, Gothenburg University, Sweden

2019 – 2020 Associate Lecturer (Universitetslektor)
@ Physics Department, Gothenburg University, Sweden

2016 – 2019 Associate Senior Lecturer (biträdande Universitetslektor)
@ Physics Department, Gothenburg University, Sweden

2012 – 2019 Assistant Professor
@ Soft Matter Lab, Physics Department, Bilkent University, Ankara, Turkey
@ UNAM–National Nanotechnology Research Center, Bilkent University, Ankara, Turkey

2008 – 2011 Postdoctoral Fellow in the group of Prof. Clemens Bechinger
@ Max-Planck-Institute for Intelligent Systems, Stuttgart, Germany
@ 2. Physikalisches Institut, Stuttgart University, Germany

EDUCATION
2004 – 2008 PhD summa cum laude in applied physics and simulation (supervisor: Prof. Dmitri Petrov)
@ ICFO – The Institute of Photonic Sciences, Castelldefels, Spain
@ Polytechnic University of Catalonia, Barcelona, Spain
“Novel applications of photonic force microscopy.” PhD defense on 2008-10-23.

2004 Master in telecommunication engineering, Padua University, Italy. 110/110 cum laude.

1998 Humanistic Liceum, Liceo Classico “C. Marchesi,” Padua, Italy. 60/60 cum laude.

HONORS AND AWARDS (SELECTED)
2023 Research Excellence Award, Faculty of Sciences, University of Gothenburg

2018 OSA Senior Membership, lifetime recognition by OSA – The Optical Society.

2017 Cátedra Elena Aizen de Moshinsky, visiting professorship to visit the Institudo de Física of the
UNAM – Universidad National de México.

2016 OSA Ambassador, lifetime recognition awarded by OSA – The Optical Society.

2014 The Young Scientist Award, awarded by TÜBA – the Turkish Academy of Science.
The TÜBA (Turkish Academy of Science) Award to reward young scientists working in Turkey.

2012 2012 Outstanding OSA Young Professional, awarded by OSA – The Optical Society.

2011 Extraordinary Doctoral Award, awarded by the Polytechnic University of Catalonia.

2010 ICFO 2009 PhD Thesis Award, awarded by ICFO – The Institute of Photonic Sciences.

2008 ICFO Visionary Thinker Award, awarded by ICFO – The Institute of Photonic Sciences.

2007 OSA New Focus/Bookham Award, awarded by OSA – The Optical Society (finalist).

2006 OSA Student Chapter Excellence Award awarded by OSA – The Optical Society.

How can deep learning enhance microscopy?

Video microscopy has a long history of providing insights and breakthroughs for a broad range of disciplines, from physics to biology. Image analysis to extract quantitative information from video microscopy data has traditionally relied on algorithmic approaches, which are often difficult to implement, time consuming, and computationally expensive. Recently, alternative data-driven approaches using deep learning have greatly improved quantitative digital microscopy, potentially offering automatized, accurate, and fast image analysis. However, the combination of deep learning and video microscopy remains underutilized primarily due to the steep learning curve involved in developing custom deep-learning solutions. To overcome this issue, we have introduced a software, currently at version DeepTrack 2.1, to design, train and validate deep-learning solutions for digital microscopy.