[Link to Preprints]
- Crystallization and topology-induced dynamical heterogeneities in soft granular clusters
Michal Bogdan, Jesus Pineda, Mihir Durve, Leon Jurkiewicz, Sauro Succi, Giovanni Volpe, Jan Guzowski
Physical Review of Research, 6, L032031 (2024)
DOI: 10.1103/PhysRevResearch.6.L032031
arXiv: 2302.05363 - Nanoalignment by Critical Casimir Torques
Gan Wang, Piotr Nowakowski, Nima Farahmand Bafi, Benjamin Midtvedt, Falko Schmidt, Agnese Callegari, Ruggero Verre, Mikael Käll, S. Dietrich, Svyatoslav Kondrat, Giovanni Volpe
Nature Communications, 15, 5086 (2024)
doi: 10.1038/s41467-024-49220-1
arXiv: 2401.06260
Featured in:
Nature Communications’ Editor’s Highlights on Applied Physics and Mathematics - Deep learning for optical tweezers
Antonio Ciarlo, David Bronte Ciriza, Martin Selin, Onofrio M. Maragò, Antonio Sasso, Giuseppe Pesce, Giovanni Volpe and Mattias Goksör
Nanophotonics, 13(17), 3017-3035 (2024)
doi: 10.1515/nanoph-2024-0013
arXiv: 2401.02321 - Deep-learning-powered data analysis in plankton ecology
Harshith Bachimanchi, Matthew I. M. Pinder, Chloé Robert, Pierre De Wit, Jonathan Havenhand, Alexandra Kinnby, Daniel Midtvedt, Erik Selander, Giovanni Volpe
Limnology and Oceanography Letters (2024)
doi: 10.1002/lol2.10392
arXiv: 2309.08500 - Dual-Angle Interferometric Scattering Microscopy for Optical Multiparametric Particle Characterization
Erik Olsén, Berenice García Rodríguez, Fredrik Skärberg, Petteri Parkkila, Giovanni Volpe, Fredrik Höök, and Daniel Sundås Midtvedt
Nano Letters, 24(6), 1874-1881 (2024)
doi: 10.1021/acs.nanolett.3c03539
arXiv: 2309.07572 - Optimal calibration of optical tweezers with arbitrary integration time and sampling frequencies — A general framework
Laura Pérez-García, Martin Selin, Antonio Ciarlo, Alessandro Magazzù, Giuseppe Pesce, Antonio Sasso, Giovanni Volpe, Isaac Pérez Castillo, Alejandro V. Arzola
Biomedical Optics Express, 14, 6442-6469 (2023)
doi: 10.1364/BOE.495468
arXiv: 2305.07245 - Environmental Memory Boosts Group Formation of Clueless Individuals
Cristóvão S. Dias, Manish Trivedi, Giovanni Volpe, Nuno A. M. Araújo, Giorgio Volpe
Nature Communications, 14, 7324 (2023)
doi: 10.1038/s41467-023-43099-0
arXiv: 2306.00516
Featured in:
Nature Communications’ Editor’s Highlights on Applied Physics and Mathematics - Bubble-propelled micromotors for ammonia generation
Rebeca Ferrer Campos, Harshith Bachimanchi, Giovanni Volpe, Katherine Villa
Nanoscale (2023)
doi: 10.1039/D3NR03804A - Age-related differences in the functional topography of the locus coeruleus and their implications for cognitive and affective functions
Dániel Veréb, Mite Mijalkov, Anna Canal-Garcia, Yu-Wei Chang, Emiliano Gomez-Ruiz, Blanca Zufiria Gerboles, Miia Kivipelto, Per Svenningsson, Henrik Zetterberg, Giovanni Volpe, Matthew Betts, Heidi IL Jacobs, Joana B Pereira
eLife 12, RP87188 (2023)
doi: 10.7554/eLife.87188.3 - CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration
Meera Srikrishna, Nicholas J. Ashton, Alexis Moscoso, Joana B. Pereira, Rolf A. Heckemann, Danielle van Westen, Giovanni Volpe, Joel Simrén, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Bibek Gyanwali, Saima Hilal, Joyce Chong Ruifen, Henrik Zetterberg, Kaj Blennow, Eric Westman, Christopher Chen, Ingmar Skoog, Michael Schöll
Alzheimer’s & Dementia 20, 629–640 (2024)
arXiv: 2401.06260
doi: 10.1002/alz.13445 - Peripheral inflammatory subgroup differences in anterior Default Mode network and multiplex functional network topology are associated with cognition in psychosis
Paulo Lizano, Chelsea Kiely, Mite Mijalkov, Shashwath A. Meda, Sarah K. Keedy, Dung Hoang, Victor Zeng, Olivia Lutz, Joana B. Pereira, Elena I. Ivleva, Giovanni Volpe, Yanxun Xu, Adam M. Lee, Leah H. Rubin, S Kristian Hill, Brett A. Clementz, Carol A. Tamminga, Godfrey D. Pearlson, John A. Sweeney, Elliot S. Gershon, Matcheri S. Keshavan, Jeffrey R. Bishop
Brain Behavior and Immunity, 114, 3-15 (2023)
doi: 10.1016/j.bbi.2023.07.014 - Perspectives on adaptive dynamical systems
Jakub Sawicki, Rico Berner, Sarah A. M. Loos, Mehrnaz Anvari, Rolf Bader, Wolfram Barfuss, Nicola Botta, Nuria Brede, Igor Franović, Daniel J. Gauthier, Sebastian Goldt, Aida Hajizadeh, Philipp Hövel, Omer Karin, Philipp Lorenz-Spreen, Christoph Miehl, Jan Mölter, Simona Olmi, Eckehard Schöll, Alireza Seif, Peter A. Tass, Giovanni Volpe, Serhiy Yanchuk, Jürgen Kurths
Chaos 33, 071501 (2023)
doi: 10.1063/5.0147231
arXiv: 2303.01459
Featured in:
A look at adaptive systems from biology to machine learning, Scilight 2023, 301105 (2023) - Functional gradients of the medial parietal cortex in a healthy cohort with family history of sporadic Alzheimer’s disease
Dániel Veréb, Mite Mijalkov, Yu-Wei Chang, Anna Canal-Garcia, Emiliano Gomez-Ruis, Anne Maass, Sylvia Villeneuve, Giovanni Volpe Joana B. Pereira
Alzheimer’s Research & Therapy 15, 82 (2023)
doi: 10.1186/s13195-023-01228-3 - Light, Matter, Action: Shining light on active matter
Marcel Rey, Giovanni Volpe, Giorgio Volpe
ACS Photonics, 10, 1188–1201 (2023)
arXiv: 2301.13034
doi: 10.1021/acsphotonics.3c00140 - Roadmap for optical tweezers
Giovanni Volpe, Onofrio M Maragò, Halina Rubinsztein-Dunlop, Giuseppe Pesce, Alexander B Stilgoe, Giorgio Volpe, Georgiy Tkachenko, Viet Giang Truong, Síle Nic Chormaic, Fatemeh Kalantarifard, Parviz Elahi, Mikael Käll, Agnese Callegari, Manuel I Marqués, Antonio A R Neves, Wendel L Moreira, Adriana Fontes, Carlos L Cesar, Rosalba Saija, Abir Saidi, Paul Beck, Jörg S Eismann, Peter Banzer, Thales F D Fernandes, Francesco Pedaci, Warwick P Bowen, Rahul Vaippully, Muruga Lokesh, Basudev Roy, Gregor Thalhammer-Thurner, Monika Ritsch-Marte, Laura Pérez García, Alejandro V Arzola, Isaac Pérez Castillo, Aykut Argun, Till M Muenker, Bart E Vos, Timo Betz, Ilaria Cristiani, Paolo Minzioni, Peter J Reece, Fan Wang, David McGloin, Justus C Ndukaife, Romain Quidant, Reece P Roberts, Cyril Laplane, Thomas Volz, Reuven Gordon, Dag Hanstorp, Javier Tello Marmolejo, Graham D Bruce, Kishan Dholakia, Tongcang Li, Oto Brzobohatý, Stephen H Simpson, Pavel Zemánek, Felix Ritort, Yael Roichman, Valeriia Bobkova, Raphael Wittkowski, Cornelia Denz, G V Pavan Kumar, Antonino Foti, Maria Grazia Donato, Pietro G Gucciardi, Lucia Gardini, Giulio Bianchi, Anatolii V Kashchuk, Marco Capitanio, Lynn Paterson, Philip H Jones, Kirstine Berg-Sørensen, Younes F Barooji, Lene B Oddershede, Pegah Pouladian, Daryl Preece, Caroline Beck Adiels, Anna Chiara De Luca, Alessandro Magazzù, David Bronte Ciriza, Maria Antonia Iatì, Grover A Swartzlander Jr
Journal of Physics: Photonics 2(2), 022501 (2023)
arXiv: 2206.13789
doi: 110.1088/2515-7647/acb57b - Geometric deep learning reveals the spatiotemporal fingerprint of microscopic motion
Jesús Pineda, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Noé, Daniel Midtvedt, Giovanni Volpe, Carlo Manzo
Nature Machine Intelligence 5, 71–82 (2023)
arXiv: 2202.06355
doi: 10.1038/s42256-022-00595-0 - Faster and more accurate geometrical-optics optical force calculation using neural networks
David Bronte Ciriza, Alessandro Magazzù, Agnese Callegari, Gunther Barbosa, Antonio A. R. Neves, Maria A. Iatì, Giovanni Volpe, Onofrio M. Maragò
ACS Photonics 10, 234–241 (2023)
doi: 10.1021/acsphotonics.2c01565
arXiv: 2209.04032 - Corneal endothelium assessment in specular microscopy images with Fuchs’ dystrophy via deep regression of signed distance maps
Juan S. Sierra, Jesus Pineda, Daniela Rueda, Alejandro Tello, Angelica M. Prada, Virgilio Galvis, Giovanni Volpe, Maria S. Millan, Lenny A. Romero, Andres G. Marrugo
Biomedical Optics Express 14, 335-351 (2023)
doi: 10.1364/BOE.477495
arXiv: 2210.07102 - Active matter in space
Giorgio Volpe, Clemens Bechinger, Frank Cichos, Ramin Golestanian, Hartmut Löwen, Matthias Sperl and Giovanni Volpe
npj Microgravity, 8, 54 (2022)
doi: 10.1038/s41526-022-00230-7 - Tunable critical Casimir forces counteract Casimir-Lifshitz attraction
Falko Schmidt, Agnese Callegari, Abdallah Daddi-Moussa-Ider, Battulga Munkhbat, Ruggero Verre, Timur Shegai, Mikael Käll, Hartmut Löwen, Andrea Gambassi and Giovanni Volpe
Nature Physics 19, 271-278 (2023)
arXiv: 2202.10926
doi: 10.1038/s41567-022-01795-6
Featured in:
Casimir vs Casimir – using opposing forces to improve nanotechnology
https://www.gu.se/nyheter/casimir-vs-casimir-klaschande-krafter-kan-forbattra-nanotekniken
Casimir vs Casimir – usare forze opposte per migliorare le nanotecnologie
Casimir vs Casimir – using opposing forces to improve nanotechnology
Nano-Bauteile clever voneinander lösen
Clever method for separating nano-components
Clever method for separating nano-components (Phys.org)
Clever method for separating nano-components (NanoWerk) - Single-shot self-supervised object detection in microscopy
Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe
Nature Communications 13, 7492 (2022)
arXiv: 2202.13546
doi: 10.1038/s41467-022-35004-y - Microplankton life histories revealed by holographic microscopy and deep learning
Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, and Giovanni Volpe
eLife 11, e79760 (2022)
arXiv: 2202.09046
doi: 10.7554/eLife.79760
Featured in:
The secret lives of microbes
Researchers combine microscopy with AI to characterise marine microbial food web
Holographic microscopy provides insights into the life of microplankton
Hologram ger insyn i planktonens liv
Hologram hjälper forskare att förstå plankton - Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants
Mite Mijalkov, Dániel Veréb, Oveis Jamialahmadi, Anna Canal-Garcia, Emiliano Gómez-Ruiz, Didac Vidal-Piñeiro, Stefano Romeo, Giovanni Volpe, Joana B. Pereira
Network Neuroscience 1-40 (2022)
doi: 10.1162/netn_a_00286
medRxiv: 10.1101/2022.03.08.22272089 - Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease
Konstantinos Poulakis, Joana B. Pereira, J.-Sebastian Muehlboeck, Lars-Olof Wahlund, Örjan Smedby, Giovanni Volpe, Colin L. Masters, David Ames, Yoshiki Niimi, Takeshi Iwatsubo, Daniel Ferreira, Eric Westman, Japanese Alzheimer’s Disease Neuroimaging Initiative & Australian Imaging, Biomarkers and Lifestyle study
Nature Communications 13, 4566 (2022)
doi: 10.1038/s41467-022-32202-6 - Unraveling Parkinson’s disease heterogeneity using subtypes based on multimodal data
Franziska Albrecht, Konstantinos Poulakis, Malin Freidle, Hanna Johansson, Urban Ekman, Giovanni Volpe, Eric Westman, Joana B. Pereira, Erika Franzén
Parkinsonism and Related Disorders 102, 19-29 (2022)
doi: 10.1016/j.parkreldis.2022.07.014 - Neural Network Training with Highly Incomplete Datasets
Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe
Machine Learning: Science and Technology 3, 035001 (2022)
arXiV: 2107.00429
doi: 10.1088/2632-2153/ac7b69 - Deep learning in light–matter interactions
Daniel Midtvedt, Vasilii Mylnikov, Alexander Stilgoe, Mikael Käll, Halina Rubinsztein-Dunlop and Giovanni Volpe
Nanophotonics, 11(14), 3189-3214 (2022)
doi: 10.1515/nanoph-2022-0197 - Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles
Barbora Špačková, Henrik Klein Moberg, Joachim Fritzsche, Johan Tenghamn, Gustaf Sjösten, Hana Šípová-Jungová, David Albinsson, Quentin Lubart, Daniel van Leeuwen, Fredrik Westerlund, Daniel Midtvedt, Elin K. Esbjörner, Mikael Käll, Giovanni Volpe & Christoph Langhammer
Nature Methods 19, 751–758 (2022)
doi: 10.1038/s41592-022-01491-6 - Directed Brain Connectivity Identifies Widespread Functional Network Abnormalities in Parkinson’s Disease
Mite Mijalkov, Giovanni Volpe, Joana B Pereira
Cerebral Cortex 32(3), 593–607 (2022)
doi: 10.1093/cercor/bhab237 - Multiplex Connectome Changes across the Alzheimer’s Disease Spectrum Using Gray Matter and Amyloid Data
Mite Mijalkov, Giovanni Volpe, Joana B Pereira
Anna Canal-Garcia, Emiliano Gómez-Ruiz, Mite Mijalkov, Yu-Wei Chang, Giovanni Volpe, Joana B Pereira, Alzheimer’s Disease Neuroimaging Initiative
Cerebral Cortex, bhab429 (2022)
doi: 10.1093/cercor/bhab429 - Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT
Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, Giovanni Volpe, Anna Zettergren, Silke Kern, Eric Westman, Ingmar Skoog and Michael Schöll
Frontiers of Computational Neuroscience 15, 785244 (2022)
doi: 10.3389/fncom.2021.785244 - Raman Tweezers for Tire and Road Wear Micro- and Nanoparticles Analysis
Pietro Giuseppe Gucciardi, Gillibert Raymond, Alessandro Magazzù, Agnese Callegari, David Brente Ciriza, Foti Antonino, Maria Grazia Donato, Onofrio M. Maragò, Giovanni Volpe, Marc Lamy de La Chapelle & Fabienne Lagarde
Environmental Science: Nano 9, 145 – 161 (2022)
ChemRxiv: https://doi.org/10.33774/chemrxiv-2021-h59n1
doi: https://doi.org/10.1039/D1EN00553G
Featured in:
University of Gothenburg: New technology enables the detection of microplastics from road wear
Phys.org: New technology enables the detection of microplastics from road wear
Nonsologreen: Le Raman-tweezers per la guerra alle nanoplastiche che inquinano fiumi e mari - Objective comparison of methods to decode anomalous diffusion
Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March, Erez Aghion, Aykut Argun, Chang Beom Hong, Tom Bland, Stefano Bo, J. Alberto Conejero, Nicolás Firbas, Òscar Garibo i Orts, Alessia Gentili, Zihan Huang, Jae-Hyung Jeon, Hélène Kabbech, Yeongjin Kim, Patrycja Kowalek, Diego Krapf, Hanna Loch-Olszewska, Michael A. Lomholt, Jean-Baptiste Masson, Philipp G. Meyer, Seongyu Park, Borja Requena, Ihor Smal, Taegeun Song, Janusz Szwabiński, Samudrajit Thapa, Hippolyte Verdier, Giorgio Volpe, Arthur Widera, Maciej Lewenstein, Ralf Metzler, and Carlo Manzo
Nature Communications 12, Article number: 6253 (2021)
doi: 10.1038/s41467-021-26320-w
arXiv: 2105.06766
Featured in:
A scientific competition led to improved methods for analysing the diffusion of particles.
En vetenskaplig tävling ledde till förbättrade metoder för att analysera diffusion av partiklar. - Active droploids
Jens Grauer, Falko Schmidt, Jesús Pineda, Benjamin Midtvedt, Hartmut Löwen, Giovanni Volpe & Benno Liebchen
Nature Commununications 12, 6005 (2021)
doi: 10.1038/s41467-021-26319-3
arXiv: 2109.10677
Featured in:
https://www.gu.se/en/news/feedback-creates-a-new-class-of-active-biomimetic-materials
https://www.miragenews.com/motorized-droplets-thanks-to-feedback-effects-654977/
https://www.sciencedaily.com/releases/2021/10/211019110532.htm
https://phys.org/news/2021-10-motorized-droplets-feedback-effects.html
https://www.innovations-report.de/fachgebiete/physik-astronomie/motorisierte-troepfchen-dank-rueckkopplung/
https://idw-online.de/de/news777788
https://www.nanowerk.com/nanotechnology-news2/newsid=58948.php - The environment topography alters the transition from single-cell populations to multicellular structures in Myxococcus xanthus
Karla C. Hernández Ramos, Edna Rodríguez-Sánchez, Juan Antonio Arias del Angel, Alejandro V. Arzola, Mariana Benítez, Ana E. Escalante, Alessio Franci, Giovanni Volpe, Natsuko Rivera-Yoshida
Sci. Adv. 7(35), eabh2278 (2021)
bioRxiv: 10.1101/2021.01.27.428527
doi: 10.1126/sciadv.abh2278 - The Cognitive Connectome in Healthy Aging
Eloy Garcia-Cabello, Lissett Gonzalez-Burgos, Joana B. Pereira, Juan Andres Hernández-Cabrera, Eric Westman, Giovanni Volpe, José Barroso, & Daniel Ferreira
Front. Aging Neurosci. 13, 530 (2021)
doi: 10.3389/fnagi.2021.694254 - Enhanced prediction of atrial fibrillation and mortality among patients with congenital heart disease using nationwide register based medical hospital data and neural networks
Kok Wai Giang, Saga Helgadottir, Mikael Dellborg, Giovanni Volpe, Zacharias Mandalenakis
European Heart Journal – Digital Health (2021)
doi: 10.1093/ehjdh/ztab065 - Directed Brain Connectivity Identifies Widespread Functional Network Abnormalities in Parkinson’s Disease
Mite Mijalkov, Giovanni Volpe, Joana B Pereira
Cerebral Cortex, bhab237 (2021)
10.1093/cercor/bhab237 - Microscopic Metavehicles Powered and Steered by Embedded Optical Metasurfaces
Daniel Andrén, Denis G. Baranov, Steven Jones, Giovanni Volpe, Ruggero Verre, Mikael Käll
Nat. Nanotechnol. (2021)
doi: 10.1038/s41565-021-00941-0
arXiv: 2012.10205 - Extracting quantitative biological information from brightfield cell images using deep learning
Saga Helgadottir, Benjamin Midtvedt, Jesús Pineda, Alan Sabirsh, Caroline B. Adiels, Stefano Romeo, Daniel Midtvedt, Giovanni Volpe
Biophysics Rev. 2, 031401 (2021)
arXiv: 2012.12986
doi: 10.1063/5.0044782
Featured in:
“Staining Cells Virtually Offers Alterative Approach to Chemical Dyes”, AIP SciLight (July 23, 2021) - Classification, inference and segmentation of anomalous diffusion with recurrent neural networks
Aykut Argun, Giovanni Volpe, Stefano Bo
Journal of Physics A: Mathematical Theoretical 54 294003 (2021)
doi: 10.1088/1751-8121/ac070a
arXiv: 2104.00553 - Dendritic spines are lost in clusters in patients with Alzheimer’s disease
Mite Mijalkov, Giovanni Volpe, Isabel Fernaud-Espinosa, Javier DeFelipe, Joana B. Pereira, Paula Merino-Serrais
Scientific Report 11, 12350 (2021)
doi: 10.1038/s41598-021-91726-x
biorXiv: 10.1101/2020.10.20.346718 - Age-related differences in network structure and dynamic synchrony of cognitive control
T. Hinault, M. Mijalkov, J.B. Pereira, Giovanni Volpe, A. Bakker, S.M. Courtney
NeuroImage 236, 118070 (2021)
bioRxiv: 10.1101/2020.10.09.333567
doi: 10.1016/j.neuroimage.2021.118070 - Non-equilibrium properties of an active nanoparticle in a harmonic potential
Falko Schmidt, Hana Šípová-Jungová, Mikael Käll, Alois Würger & Giovanni Volpe
Nature Communications 12, 1902 (2021)
doi: 10.1038/s41467-021-22187-z
arXiv: 2009.08393 - Improving epidemic testing and containment strategies using machine learning
Laura Natali, Saga Helgadottir, Onofrio M. Maragò, Giovanni Volpe
Machine Learning: Science and Technology, 2 035007 (2021)
doi: 10.1088/2632-2153/abf0f7
arXiv: 2011.11717
Featured in:
Maskininlärning kan bidra till att bromsa framtida pandemier, Press release, News of the Faculty of Science of Gothenburg University.
Machine learning can help slow down future pandemics Press release, News of the Faculty of Science of Gothenburg University. - Optical Tweezers: A Comprehensive Tutorial from Calibration to Applications
Jan Gieseler, Juan Ruben Gomez-Solano, Alessandro Magazzù, Isaac Pérez Castillo, Laura Pérez García, Marta Gironella-Torrent, Xavier Viader-Godoy, Felix Ritort, Giuseppe Pesce, Alejandro V. Arzola, Karen Volke-Sepulveda & Giovanni Volpe
Advances in Optics and Photonics 13(1), 74-241 (2021)
doi: https://doi.org/10.1364/AOP.394888
arXiv: 2004.05246 - Quantitative Digital Microscopy with Deep Learning
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe
Applied Physics Reviews 8, 011310 (2021)
doi: 10.1063/5.0034891
arXiv: 2010.08260 - Optical trapping and critical Casimir forces
Agnese Callegari, Alessandro Magazzù, Andrea Gambassi & Giovanni Volpe
The European Physical Journal Plus (EPJP), 136, 213 (2021)
doi: 10.1140/epjp/s13360-020-01020-4
arXiv: 2008.01537 - Intercellular communication induces glycolytic synchronization waves between individually oscillating cells
Martin Mojica-Benavides, David D. van Niekerk, Mite Mijalkov, Jacky L. Snoep, Bernhard Mehlig, Giovanni Volpe, Caroline B. Adiels & Mattias Goksör
PNAS 118(6), e2010075118 (2021)
doi: 10.1073/pnas.2010075118
arXiv: 1909.05187 - Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis Holography
Benjamin Midtvedt, Erik Olsén, Fredrik Eklund, Fredrik Höök, Caroline Beck Adiels, Giovanni Volpe, Daniel Midtvedt
ACS Nano 15(2), 2240–2250 (2021)
doi: 10.1021/acsnano.0c06902
arXiv: 2006.11154 - Improving epidemic testing and containment strategies using machine learning
Laura Natali, Saga Helgadottir, Onofrio M. Maragò, Giovanni Volpe
doi: 10.1088/2632-2153/abf0f7
arXiv: 2011.11717
Featured in:
News of the Faculty of Science of Gothenburg University
Swedish: Maskininlärning kan bidra till att bromsa framtida pandemier
English: Machine learning can help slow down future pandemics - Enhanced force-field calibration via machine learning
Aykut Argun, Tobias Thalheim, Stefano Bo, Frank Cichos & Giovanni Volpe
Applied Physics Reviews 7, 041404 (2020)
doi: 10.1063/5.0019105
arXiv: 2006.08963
Featured in:
“Machine Learning Outperforms Standard Force-Field Calibration Techniques”, AIP SciLight (November 6, 2020) - Feedback-controlled active brownian colloids with space-dependent rotational dynamics
Miguel Angel Fernandez-Rodriguez, Fabio Grillo, Laura Alvarez, Marco Rathlef, Ivo Buttinoni, Giovanni Volpe & Lucio Isa
Nature Communications 11, 4223 (2020)
doi: 10.1038/s41467-020-17864-4
arXiv: 1911.02291 - Machine learning reveals complex behaviours in optically trapped particles
Isaac C. D. Lenton, Giovanni Volpe, Alexander B. Stilgoe, Timo A. Nieminen & Halina Rubinsztein-Dunlop
Machine Learning: Science and Technology, 1 045009, (2020)
doi: 10.1088/2632-2153/abae76
arXiv: 2004.08264 - Anisotropic dynamics of a self-assembled colloidal chain in an active bath
Mehdi Shafiei Aporvari, Mustafa Utkur, Emine Ulku Saritas, Giovanni Volpe & Joakim Stenhammar
Soft Matter, 2020, 16, 5609-5614
doi: https://doi.org/10.1039/D0SM00318B
arXiv: 2002.09961 - Gain-Assisted Optomechanical Position Locking of Metal/Dielectric Nanoshells in Optical Potentials
Paolo Polimeno, Francesco Patti, Melissa Infusino, Jonathan Sánchez, Maria A. Iatì, Rosalba Saija, Giovanni Volpe, Onofrio M. Maragò & Alessandro Veltri
ACS Photonics 7(5), 1262–1270 (2020)
doi: https://doi.org/10.1021/acsphotonics.0c00213 - Ordering of binary colloidal crystals by random potentials
André S. Nunes, Sabareesh K. P. Velu, Iryna Kasianiuk, Denys Kasyanyuk, Agnese Callegari, Giorgio Volpe, Margarida M. Telo da Gama, Giovanni Volpe & Nuno A. M. Araújo
Soft Matter 16, 4267-4273 (2020)
doi: https://doi.org/10.1039/D0SM00208A
arXiv: 1903.01579 - Delayed correlations improve the reconstruction of the brain connectome
Mite Mijalkov, Joana B. Pereira & Giovanni Volpe
PLoS ONE 15(2), e0228334 (2020)
doi: https://doi.org/10.1371/journal.pone.0228334 - Machine learning for active matter
Frank Cichos, Kristian Gustavsson, Bernhard Mehlig & Giovanni Volpe
Nature Machine Intelligence 2(2), 94–103 (2020)
doi: https://doi.org/10.1038/s42256-020-0146-9 - Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning
Anna Pina, Saga Helgadottir, Rosellina Margherita Mancina, Chiara Pavanello, Carlo Pirazzi, Tiziana Montalcini, Roberto Henriques, Laura Calabresi, Olov Wiklund, M Paula Macedo, Luca Valenti, Giovanni Volpe, Stefano Romeo
European Journal of Preventive Cardiology (2020)
doi: https://doi.org/10.1177/2047487319898951 - Measurement of Anomalous Diffusion Using Recurrent Neural Networks
Stefano Bo, Falko Schmidt, Ralf Eichborn & Giovanni Volpe
Physical Review E 100(1), 010102(R) (2019)
doi: 10.1103/PhysRevE.100.010102
arXiv: 1905.02038 - Influence of Sensorial Delay on Clustering and Swarming
Rafal Piwowarczyk, Martin Selin, Thomas Ihle & Giovanni Volpe
Physical Review E 100(1), 012607 (2019)
doi: 10.1103/PhysRevE.100.012607
arXiv: 1803.06026 - Clustering of Janus Particles in Optical Potential Driven by Hydrodynamic Fluxes
S. Masoumeh Mousavi, Iryna Kasianiuk, Denis Kasyanyuk, Sabareesh K. P. Velu, Agnese Callegari, Luca Biancofiore & Giovanni Volpe
Soft Matter 15(28), 5748—5759 (2019)
doi: 10.1039/C8SM02282H
arXiv: 1811.01989 - Intracavity optical trapping of microscopic particles in a ring-cavity fiber laser
Fatemeh Kalantarifard, Parviz Elahi, Ghaith Makey, Onofrio M. Maragò, F. Ömer Ilday & Giovanni Volpe
Nature Communications 10, 2683 (2019)
doi: 10.1038/s41467-019-10662-7
arXiv: 1808.07831 - Subtypes of Alzheimer’s disease display distinct network abnormalities extending beyond their pattern of brain atrophy
Daniel Ferreira, Joana B. Pereira, Giovanni Volpe & Eric Westman
Frontiers in Neurology 10, 524 (2019)
DOI: 10.3389/fneur.2019.00524 - Digital video microscopy enhanced by deep learning (Cover article)
Saga Helgadottir, Aykut Argun & Giovanni Volpe
Optica 6(4), 506—513 (2019)
doi: 10.1364/OPTICA.6.000506
arXiv: 1812.02653
GitHub: DeepTrack
Featured in:
“Deep Learning for Particle Tracking”, Optics & Photonics News (December 1, 2019) - Controlling the dynamics of colloidal particles by critical Casimir forces (Back cover article)
Alessandro Magazzù, Agnese Callegari, Juan Pablo Staforelli, Andrea Gambassi, Siegfried Dietrich & Giovanni Volpe
Soft Matter 15(10), 2152—2162 (2019)
doi: 10.1039/C8SM01376D
arXiv: 1806.11403 - Light-controlled Assembly of Active Colloidal Molecules
Falko Schmidt, Benno Liebchen, Hartmut Löwen & Giovanni Volpe
Journal of Chemical Physics 150(9), 094905 (2019)
doi: 10.1063/1.5079861
arXiv: 1801.06868 - Active Matter Alters the Growth Dynamics of Coffee Rings (Back cover article)
Tuğba Andaç, Pascal Weigmann, Sabareesh K. P. Velu, Erçağ Pinçe, Giorgio Volpe, Giovanni Volpe & Agnese Callegari
Soft Matter 15(7), 1488—1496 (2019)
doi: 10.1039/C8SM01350K
arXiv: 1803.02619 - High-Performance Reconstruction of Microscopic Force Fields from Brownian Trajectories
Laura Pérez García, Jaime Donlucas Pérez, Giorgio Volpe, Alejandro V. Arzola & Giovanni Volpe
Nature Communications 9, 5166 (2018)
doi: 10.1038/s41467-018-07437-x
arXiv: 1808.05468 - Tuning phototactic robots with sensorial delays (Editors’ suggestion)
Maximilian Leyman, Freddie Ogemark, Jan Wehr & Giovanni Volpe
Physical Review E 98(26), 052606 (2018)
DOI: 10.1103/PhysRevE.98.052606
arXiv: 1807.11765 - Abnormal structural brain connectome in individuals with preclinical Alzheimer’s disease
Joana B. Pereira, Danielle van Westen, Erik Stomrud, Tor Olof Strandberg, Giovanni Volpe, Eric Westman & Oskar Hansson
Cerebral Cortex 28(10), 3638—3649 (2018)
DOI: 10.1093/cercor/bhx236
Featured in “Nuke med helps diagnose early Alzheimer’s from amyloid network topology”, HealthImaging, 14 Nov 2017 - Stability of graph theoretical measures in structural brain networks in Alzheimer’s disease
Gustav Mårtensson, Joana B. Pereira, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Giovanni Volpe & Eric Westman
Scientific Reports 8, 11592 (2018)
DOI: 10.1038/s41598-018-29927-0 - Optical tweezers and their applications
Paolo Polimeno, Alessandro Magazzù, Maria Antonia Iata, Francesco Patti, Rosalba Saija, Cristian Degli Esposti Boschi, Maria Grazia Donato, Pietro G. Gucciardi, Philip H. Jones, Giovanni Volpe & Onofrio M. Maragò
Journal of Quantitative Spectroscopy and Radiative Transfer 218(October 2018), 131—150 (2018)
DOI: 10.1016/j.jqsrt.2018.07.013 - Active Atoms and Interstitials in Two-dimensional Colloidal Crystals
Kilian Dietrich, Giovanni Volpe, Muhammad Nasruddin Sulaiman, Damina Renggli, Ivo Buttinoni & Lucio Isa
Physical Review Letters 120(26), 268004 (2018)
DOI: 10.1103/PhysRevLett.120.268004
arXiv: 1710.08680 - Biophotonics feature: introduction
Paolo Campagnola, Daniel Cote, Francesco Pavone, Peter Reece, Vivek J. Srinivasan, Tomasz Tkaczyk & Giovanni Volpe
Biomedical Optics Express 9(3), 1229–1231 (2018)
DOI: 10.1364/BOE.9.001229 - Microscopic engine powered by critical demixing
Falko Schmidt, Alessandro Magazzù, Agnese Callegari, Luca Biancofiore, Frank Cichos & Giovanni Volpe
Physical Review Letters 120(6), 068004 (2018)
DOI: 10.1103/PhysRevLett.120.068004
arXiv:1705.03317
Featured in:
“Focus: A Tiny Engine Powered by Light and Liquid Physics”, Physics 11, 16 (February 9, 2018)
“Laser + Critical Liquid = Micro-Engine”, Optics & Photonics News (February 12, 2018)
“Micro engine works on liquid power” Cosmos Magazine (February 11, 2018)
“Tiny engine powered by demixing fluid” Phys.Org (February 12, 2018)
“Расслаивание растворителя закрутило микрочастицы вокруг лазерного пучка”, N+1: научные статьи, новости, открытия (February 12, 2018)
“Tiny engine powered by remixing fluid”, Brinkwire (February 16, 2018) - Dynamic control of particle deposition in evaporating droplets by an external point source vapor
Robert Malinowski, Giovanni Volpe, Ivan Parkin & Giorgio Volpe
The Journal of Physical Chemistry Letters 9(3), 659—664 (2018)
DOI: 10.1021/acs.jpclett.7b02831
arXiv: 1801.08218 - Altered structural network organization in cognitively normal individuals with amyloid pathology
Olga Voevodskaya, Joana B. Pereira, Giovanni Volpe, Olof Lindberg, Erik Stomrud, Danielle van Westen, Eric Westman & Oskar Hansson
Neurobiology of Aging 64, 15—24 (2018)
DOI: 10.1016/j.neurobiolaging.2017.11.014 - Amyloid network topology characterizes the progression of Alzheimer’s disease during the predementia stages
Joana B. Pereira, Tor Olof Strandberg, Sebastian Palmqvist, Giovanni Volpe, Danielle van Westen, Eric Westman & Oskar Hansson, for the Alzheimer’s Disease Neuroimaging Initiative
Cerebral Cortex 28(1), 340—349 (2018)
DOI: 10.1093/cercor/bhx294 - Metastable clusters and channels formed by active particles with aligning interactions
Simon Nilsson & Giovanni Volpe
New Journal of Physics 19, 115008 (2017)
DOI: 10.1088/1367-2630/aa9516
arXiv: 1706.01326 - Experimental realization of a minimal microscopic heat engine
Aykut Argun, Jalpa Soni, Lennart Dabelow, Stefano Bo, Giuseppe Pesce, Ralf Eichhorn & Giovanni Volpe
Physical Review E 96(5), 05216 (2017)
DOI: 10.1103/PhysRevE.96.052106
arXiv: 1708.07197 - The topography of the environment alters the optimal search strategy for active particles
Giorgio Volpe & Giovanni Volpe
Proceedings of the National Academy of Science USA 114(43), 11350—11355 (2017)
DOI: 10.1073/pnas.1711371114
arXiv: 1706.07785 - BRAPH: A graph theory software for the analysis of brain connectivity
Mite Mijalkov, Ehsan Kakaei, Joana B. Pereira, Eric Westman & Giovanni Volpe
PLoS ONE 12(8), e0178798 (2017)
DOI: 10.1371/journal.pone.0178798
bioRxiv: 106625 - Two-dimensional nature of the active Brownian motion of catalytic microswimmers at solid and liquid interfaces
Kilian Dietrich, Damian Renggli, Michele Zanini, Giovanni Volpe, Ivo Buttinoni & Lucio Isa
New Journal of Physics 19, 065008 (2017)
DOI: 10.1088/1367-2630/aa7126 - Small Mass Limit of a Langevin Equation on a Manifold
Jeremiah Birrell, Scott Hottovy, Giovanni Volpe & Jan Wehr
Annales Henri Poincaré 18(2), 707—755 (2017)
DOI: 10.1007/s00023-016-0508-3
arXiv: 1604.04819 - Non-Boltzmann stationary distributions and non-equilibrium relations in active baths
Aykut Argun, Ali-Reza Moradi, Erçağ Pinçe, Gokhan Baris Bagci, Alberto Imparato & Giovanni Volpe
Physical Review E 94(6), 062150 (2016)
DOI: 10.1103/PhysRevE.94.062150 - Active Brownian particles in complex and crowded environments (Invited review)
Clemens Bechinger, Roberto Di Leonardo, Hartmut Löwen, Charles Reichhardt, Giorgio Volpe & Giovanni Volpe
Reviews of Modern Physics 88(4), 045006 (2016)
DOI: 10.1103/RevModPhys.88.045006
arXiv: 1602.00081 - An SDE approximation for stochastic differential delay equations with colored state-dependent noise
Austin McDaniel, Ozer Duman, Giovanni Volpe & Jan Wehr
Markov Processes and Related Fields 22(3), 595-628 (2016)
arXiv: 1406.7287 - Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer’s Disease
Joana B. Pereira, Mite Mijalkov, Ehsan Kakaei, Patricia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilka Soininen, Christian Spenger, Simmon Lovestone, Andrew Simmons, Lars-Olof Wahlund, Giovanni Volpe & Eric Westman, AddNeuroMed consortium, for the Alzheimer’s Disease Neuroimaging Initiative
Cerebral Cortex 26(8), 3476—3493 (2016)
DOI: 10.1093/cercor/bhw128 - Better stability with measurement errors
Aykut Argun & Giovanni Volpe
Journal of Statistical Physics 163(6), 1477—1485 (2016)
DOI: 10.1007/s10955-016-1518-8
arXiv: 1608.08461 - Nonadditivity of critical Casimir forces
Paladugu Sathyanarayana, Agnese Callegari, Yazgan Tuna, Lukas Barth, Siegfried Dietrich, Andrea Gambassi & Giovanni Volpe
Nature Communications 7, 11403 (2016)
DOI: 10.1038/ncomms11403
arXiv: 1511.02613
Featured in:
“2+1 is not always 3: In the microworld unity is not always strength”, Phys.org
“Wenn 2 plus 1 nicht 3 ergibt”, Scinexx
“Физики доказали существование эффекта множества тел”, Gazeta.ru
“2+1 is not always 3”, Health Medicinet
“Nei colloidi 2 +1 non è uguale a 3”, Le Scienze
“Nei colloidi 2 +1 non è uguale a 3”, All News 24
“Wenn 2 plus 1 nicht 3 ergibt”, Scinexx
“2+1 ist nicht immer 3 – In der Mikro-Welt macht Einigkeit nicht immer”, idw – Informationsdienst Wissenschaft - Effective drifts in dynamical systems with multiplicative noise: A review of recent progress (Invited review)
Giovanni Volpe & Jan Wehr
Reports on Progress in Physics 79(5), 053901 (2016)
DOI: 10.1088/0034-4885/79/5/053901
arXiv: 1511.05340 - Disorder-mediated crowd control in an active matter system
Erçağ Pinçe, Sabareesh K. P. Velu, Agnese Callegari, Parviz Elahi, Sylvain Gigan, Giovanni Volpe & Giorgio Volpe
Nature Communications 7, 10907 (2016)
DOI: 10.1038/ncomms10907
Featured in:
“Understanding the dynamics of crowd behavior”, Phys.com
“Understanding the dynamics of crowd behavior”, ScienceDaily.com
“Physics Explains Group Dynamics: When There’s Chaos, Individuals Disperse”, Medical Daily
“Ученые выяснили, как меняющаяся окружающая среда влияет на движение толпы”, Gazeta.ru
“Understanding the dynamics of crowd behaviour”, Nano
“Understanding the dynamics of crowd behaviour”, Noodls
“Understanding the dynamics of crowd behavior”, EurekAlert!
“Understanding the dynamics of crowd behavior”, Informs
“Understanding the dynamics of crowd behavior”, Nanowerk - The small-mass limit for Langevin dynamics with unbounded coefficients and positive friction
David P. Herzog, Scott Hottovy & Giovanni Volpe
Journal of Statistical Physics 163(3), 659—673 (2016)
DOI: 10.1007/s10955-016-1498-8
arXiv: 1510.04187 - Engineering sensorial delay to control phototaxis and emergent collective behaviors
Mite Mijalkov, Austin McDaniel, Jan Wehr & Giovanni Volpe
Physical Review X 6(1), 011008 (2016)
DOI: 10.1103/PhysRevX.6.011008
arXiv: 1511.04528
Featured in “Focus: Sensing Delays Control Robot Swarming”
Physics 9, 13 (January 29, 2016) - Polar POLICRYPS diffractive structures generate cylindrical vector beams
Domenico Alj, Sathyanarayana Paladugu, Giovanni Volpe, Roberto Caputo & Cesare Umeton
Applied Physics Letter 107(20), 201101 (2015)
DOI: 10.1063/1.4935605
arXiv: 1509.07671 - Optical trapping and control of a dielectric nanowire by a nanoaperture
Mehdi Shafiei Aporvari, Fardin Kheirandish & Giovanni Volpe
Optics Letters 40(20), 4807—4810 (2015)
DOI: 10.1364/OL.40.004807
arXiv: 1507.04044 - Aberrant cerebral network topology and mild cognitive impairment in early Parkinson’s disease
Joana B. Pereira, Dag Aarsland, Cedric E. Ginestet, Alexander V. Lebedev, Lars-Olof Wahlund, Andrew Simmons, Giovanni Volpe & Eric Westman
Human Brain Mapping 36(8), 2980—2995 (2015)
DOI: 10.1002/hbm.22822 - Formation, compression and surface melting of colloidal clusters by active particles (Cover article)
Felix Kümmel, Parmida Shabestari, Celia Lozano, Giovanni Volpe & Clemens Bechinger
Soft Matter 11(31), 6187—6191 (2015)
DOI: 10.1039/C5SM00827A - The Smoluchowski-Kramers limit of stochastic differential equations with arbitrary state-dependent friction
Scott Hottovy, Austin McDaniel, Giovanni Volpe & Jan Wehr
Communications in Mathematical Physics 336(3), 1259—1283 (2015)
DOI: 10.1007/s00220-014-2233-4
arXiv: 1404.2330 - A step-by-step guide to the realisation of advanced optical tweezers
Giuseppe Pesce, Giorgio Volpe, Onofrio M. Maragò, Philip H. Jones, Sylvain Gigan, Antonio Sasso & Giovanni Volpe
Journal of the Optical Society of America B 32(5), B84—B98 (2015)
DOI: 10.1364/JOSAB.32.000B84
arXiv: 1501.07894 - Computational toolbox for optical tweezers in geometrical optics
Agnese Callegari, Mite Mijalkov, Burak Gököz & Giovanni Volpe
Journal of the Optical Society of America B 32(5), B11—B19 (2015)
DOI: 10.1364/JOSAB.32.000B11
arXiv: 1402.5439 - Longterm influence of fluid inertia on the diffusion of a Brownian particle
Giuseppe Pesce, Giorgio Volpe, Giovanni Volpe & Antonio Sasso
Physical Review E 90(4), 042309 (2014)
DOI: 10.1103/PhysRevE.90.042309
arXiv: 1402.6913 - Speckle optical tweezers: Micromanipulation with random light fields
Giorgio Volpe, Lisa Kurz, Agnese Callegari, Giovanni Volpe & Sylvain Gigan
Optics Express 22(15), 18159—18167 (2014)
DOI: 10.1364/OE.22.018159
arXiv: 1403.0364 - Reply to comment on “Circular motion of asymmetric self-propelling particles”
Felix Kümmel, Borge ten Hagen, Raphael Wittkowski, Daisuke Takagi, Ivo Buttinoni, Ralf Eichhorn, Giovanni Volpe, Hartmut Löwen & Clemens Bechinger
Physical Review Letters 113(2), 029802 (2014)
DOI: 10.1103/PhysRevLett.113.029802
arXiv: 1407.4016 - Simulation of the active Brownian motion of a microswimmer
Giorgio Volpe, Sylvain Gigan & Giovanni Volpe
American Journal of Physics 82(7), 659—664 (2014)
DOI: 10.1119/1.4870398 - Brownian motion in a speckle light field: Tunable anomalous diffusion and selective optical manipulation
Giorgio Volpe, Giovanni Volpe & Sylvain Gigan
Scientific Reports 4, 3936 (2014)
DOI: 10.1038/srep03936
arXiv: 1304.1433 - Stratonovich-to-Itô transition in noisy systems with multiplicative feedback
Giuseppe Pesce, Austin McDaniel, Scott Hottovy, Jan Wehr & Giovanni Volpe
Nature Communications 4, 2733 (2013)
DOI: 10.1038/ncomms3733
arXiv: 1206.6271 - Optical trapping and manipulation of nanostructures
Onofrio M. Maragò, Philip H. Jones, Pietro Gucciardi, Giovanni Volpe & Andrea Ferrari
Nature Nanotechnology 8(11), 807—819 (2013)
DOI: 10.1038/nnano.2013.208 - Sorting of chiral microswimmers (Cover article)
Mite Mijalkov & Giovanni Volpe
Soft Matter 9(28), 6376—6381 (2013)
DOI: 10.1039/C3SM27923E
arXiv: 1212.6504 - Circular motion of asymmetric self-propelling particles
Felix Kümmel, Borge ten Hagen, Raphael Wittkowski, Ivo Buttinoni, Giovanni Volpe, Hartmut Löwen & Clemens Bechinger
Physical Review Letters 110(19), 198302 (2013)
DOI: 10.1103/PhysRevLett.110.198302
arXiv: 1302.5787
Featured in “Synopsis: Round and Round in Circles”, Physics (May 9, 2013) - Simulation of a Brownian particle in an optical trap
Giorgio Volpe & Giovanni Volpe
American Journal of Physics 81(2), 224—230 (2013)
DOI: 10.1119/1.4772632 - Thermophoresis of Brownian particles driven by coloured noise
Scott Hottovy, Giovanni Volpe & Jan Wehr
EPL (Europhysics Letters) 99(6), 60002 (2012)
DOI: 10.1209/0295-5075/99/60002
arXiv: 1205.1093 - Active Brownian motion tunable by light
Ivo Buttinoni, Giovanni Volpe, Felix Kümmel, Giorgio Volpe & Clemens Bechinger
Journal of Physics: Condensed Matter 24(28), 284129 (2012)
DOI: 10.1088/0953-8984/24/28/284129
arXiv: 1110.2202 - Noise-induced drift in stochastic differential equations with arbitrary friction and diffusion in the Smoluchowski-Kramers limit
Scott Hottovy, Giovanni Volpe & Jan Wehr
Journal of Statistical Physics 146(2), 762—773 (2012)
DOI: 10.1007/s10955-012-0418-9
arXiv: 1112.2607 - Microswimmers in patterned environments
Giovanni Volpe, Ivo Buttinoni, Dominik Vogt, Hans-Jürgen Kümmerer & Clemens Bechinger
Soft Matter 7(19), 8810—8815 (2011)
DOI: 10.1039/C1SM05960B
arXiv: 1104.3203 - Reply to comment on “Influence of noise on force measurements”
Giovanni Volpe, Laurent Helden, Thomas Brettschneider, Jan Wehr & Clemens Bechinger
Physical Review Letters 107(7), 078902 (2011)
DOI: 10.1103/PhysRevLett.107.078902
arXiv: 1101.3916 - Force measurement in the presence of Brownian noise: Equilibrium distribution method vs. drift method
Thomas Brettschneider, Giovanni Volpe, Laurent Helden, Jan Wehr & Clemens Bechinger
Physical Review E 83(4), 041113 (2011)
DOI: 10.1103/PhysRevE.83.041113
arXiv: 1009.2386 - Influence of rotational force fields on the determination of the work done on a driven Brownian particle
Giuseppe Pesce, Giovanni Volpe, Alberto Imparato, Giulia Rusciano & Antonio Sasso
Journal of Optics 13(4), 044006 (2011)
DOI: 10.1088/2040-8978/13/4/044006
arXiv: 1006.4534 - Fractal plasmonics: Subdiffraction focusing and broadband spectral response by a Sierpisky nanocarpet
Giorgio Volpe, Giovanni Volpe & Romain Quidant
Optics Express 19(4), 3612—3618 (2011)
DOI: 10.1364/OE.19.003612 - Influence of noise on force measurements
Giovanni Volpe, Laurent Helden, Thomas Brettschneider, Jan Wehr & Clemens Bechinger
Physical Review Letters 104(17), 170602 (2010)
DOI: 10.1103/PhysRevLett.104.170602
arXiv: 1004.0874 - Novel perspectives for the application of total internal reflection microscopy
Giovanni Volpe, Thomas Brettschneider, Laurent Helden & Clemens Bechinger
Optics Express 17(26), 23975—23985 (2009)
DOI: 10.1364/OE.17.023975
arXiv: 0909.5131 - Quantitative assessment of non-conservative radiation forces in an optical trap
Giuseppe Pesce, Giorgio Volpe, Anna Chiara De Luca, Giulia Rusciano & Giovanni Volpe
EPL (Europhysics Letters) 86(3), 38002 (2009)
DOI: 10.1209/0295-5075/86/38002
arXiv: 0902.4178 - Thermal noise suppression: How much does it cost?
Giovanni Volpe, Jan Wehr, Dmitri Petrov & J. Miguel Rubi
Journal of Physics A: Mathematical and Theoretical 42(9), 095005 (2009)
DOI: 10.1088/1751-8113/42/9/095005
arXiv: 0711.0923 - Mie scattering distinguishes the topological charge of an optical vortex: A homage to Gustav Mie
Valeria Garbin, Giovanni Volpe, Enrico Ferrari, Michel Versluis, Dan Cojoc & Dmitri Petrov
New Journal of Physics 11, 013046 (2009)
DOI: 10.1088/1367-2630/11/1/013046 - 10-fold detection range increase in quadrant-photodiode position sensing for photonic force microscope
Sandro Perrone, Giovanni Volpe & Dmitri Petrov
Review of Scientific Instruments 79(10), 106101 (2008)
DOI: 10.1063/1.2993177 - Stochastic resonant damping in a noisy monostable system: Theory and experiment
Giovanni Volpe, Sandro Perrone, J. Miguel Rubi & Dmitri Petrov
Physical Review E 77(5), 051107 (2008)
DOI: 10.1103/PhysRevE.77.051107 - Surface plasmon optical tweezers: Tunable optical manipulation in the femtonewton range
Maurizio Righini, Giovanni Volpe, Christian Girard, Dmitri Petrov & Romain Quidant
Physical Review Letters 100(18), 186804 (2008)
DOI: 10.1103/PhysRevLett.100.186804 - Singular point characterization in microscopic flows
Giorgio Volpe, Giovanni Volpe & Dmitri Petrov
Physical Review E 77(3), 037301 (2008)
DOI: 10.1103/PhysRevE.77.037301
arXiv: 0711.0923 - Brownian motion in a non-homogeneous force field and photonic force microscope
Giorgio Volpe, Giovanni Volpe & Dmitri Petrov
Physical Review E 76(6), 061118 (2007)
DOI: 10.1103/PhysRevE.76.061118
arXiv: 0711.0923 - Back-scattering position detection for photonic force microscopy
Giovanni Volpe, Gregory Kozyreff & Dmitri Petrov
Journal of Applied Physics 102(8), 084701 (2007)
DOI: 10.1063/1.2799047 - Real-time actin-cytoskeleton depolymerization detection in a single cell using optical tweezers
Anna Chiara de Luca, Giovanni Volpe, Anna Morales Drets, Maria Isabel Geli, Giuseppe Pesce, Giulia Rusciano, Antonio Sasso & Dmitri Petrov
Optics Express 15(13), 7922—7932 (2007)
DOI: 10.1364/OE.15.007922 - Torque detection using Brownian fluctuations
Giovanni Volpe & Dmitri Petrov
Physical Review Letters 97(21), 210603 (2006)
DOI: 10.1103/PhysRevLett.97.210603
Featured in “Focus: Hidden Twists and Turns”
Physical Review Focus 18, 17 (December 1, 2006) - The lag phase and G1 phase of a single yeast cell monitored by Raman microspectroscopy
Gajendra P. Singh, Giovanni Volpe, Caitriona M. Creely, Helga Grötsch, Isabel M. Geli & Dmitri Petrov
Journal of Raman Spectroscopy 37(8), 858—864 (2006)
DOI: 10.1002/jrs.1520 - Surface plasmon radiation forces
Giovanni Volpe, Romain Quidant, Gonçal Badenes & Dmitri Petrov
Physical Review Letters 96(23), 238101 (2006)
DOI: 10.1103/PhysRevLett.96.238101 - Dynamics of a growing cell in an optical trap
Giovanni Volpe, Gajendra Pratap Singh & Dmitri Petrov
Applied Physics Letters 88(23), 231106 (2006)
DOI: 10.1063/1.2213015 - Raman imaging of floating cells
Caitriona M. Creely, Giovanni Volpe, Gajendra P. Singh, Marta Soler & Dmitri Petrov
Optics Express 13(16), 6105—6110 (2005)
DOI: 10.1364/OPEX.13.006105 - Real-time detection of hyperosmotic stress response in optically trapped single yeast cells using Raman microspectroscopy
Gajendra P. Singh, Caitriona M. Creely, Giovanni Volpe, Helga Grötsch & Dmitri Petrov
Analytical Chemistry 77(8), 2564—2568 (2005)
DOI: 10.1021/ac048359j - Generation of cylindrical vector beams with few-mode fibers excited by Laguerre-Gaussian beams
Giovanni Volpe & Dmitri Petrov
Optics Communications 237(1), 89—95 (2004)
DOI: 10.1016/j.optcom.2004.03.080