Laura Pérez Garcia won the prize for 2021 OSA Biophotonics Congress: Optics in the Life Sciences Student Paper Prize in the OSA-OMA Biophotonics 2021, with the work titled FORMA and BEFORE: expanding applications of optical tweezers.
News
Press release on Machine learning can help slow down future pandemics
The article Improving epidemic testing and containment strategies using machine learning has been featured in the News of the Faculty of Science of Gothenburg University.
Here the links to the press releases:
Swedish: Maskininlärning kan bidra till att bromsa framtida pandemier
English: Machine learning can help slow down future pandemics
The articles was also featured in:
AI ska bromsa framtidens pandemier Metal Supply (23/04/2021)
El papel de la inteligencia artificial para frenar futuras pandemias El Nacional.cat. (16/04/2021)
AI could be critical to preventing future pandemics – study Health Tech World. (16/04/2021)
Machine Learning Slows Down Future Pandemics MedIndia. (15/04/2021)
Machine Learning May Be Key to Avoiding the Next Possible Pandemic News18.com (15/04/2021)
Så kan AI bromsa nästa pandemi – svensk forskningförfinar testningen Computer Sweden (15/04/2021)
AI could prevent future pandemics Electronics360 (14/04/2021)
L’IA peut contribuer à limiter la propagation des infections lors des futures épidémies (étude) Ecofin Telecom. (14/04/2021)
Machine Learning can help slow down future pandemics:Study SocialNews.xyz (14/04/2021)
Machine learning can help slow down future pandemics —ScienceDaily Sortiwa Trending Viral News Portal (14/04/2021)
AI mot smittspridning Sveriges Radio Vetenskapsradion. (14/04/2021)
Soft Matter Lab’s presentations at OSA-OMA 2021
The Soft Matter Lab is involved in six presentations at the OSA Biophotonic Congress: Optics in the Life Sciences 2021, topical meeting of Optical Manipulation and its Applications.
Moreover, three of the presentations were selected as finalists for the best student paper in the topical meeting of Optical Manipulation and its Applications.
You can find the details below:
12 April
- 15:00 CEST
Clustering of Janus Particles Under the Effect of Optical Forces Driven by Hydrodynamic Fluxes (AM1D.3)
Agnese Callegari, Gothenburg University
15 April
- 15:45 CEST
FORMA and BEFORE: Expanding Applications of Optical Tweezers (ATh1D.5) Finalist
Laura Pérez García, Gothenburg University
16 April
- 12:30 CEST
Dynamics of an Active Nanoparticle in an Optical Trap (AF1D.2) Finalist
Falko Schmidt, Gothenburg University
- 13:15 CEST
Gain-Assisted Plasmonic/Dielectric Nanoshells in Optical Tweezers: Non-Linear Optomechanics and Thermal Effects. (AF1D.5)
Paolo Polimeno, University of Messina
- 16:00 CEST
Machine Learning to Enhance the Calculation of Optical Forces in the Geometrical Optics Approximation (AF2D.3) Finalist
David Bronte Ciriza, CNR-IPCF, Istituto per i Processi Chimico-Fisici
- 16:15 CEST
Calibration of Force Fields Using Recurrent Neural Networks (AF2D.4)
Aykut Argun, University of Gothenburg
Invited talk by G. Volpe at 11th Nordic Workshop on Statistical Physics, 15 April 2021, Online
Giovanni Volpe
(online at) Nordita, Stockholm, Sweden
15 April 2021, 14:30-15.25
Machine-learning methods are starting to shape active-matter research. Which new trends will this start? Which new groundbreaking insight and applications can we expect? More fundamentally, what can this contribute to our understanding of active matter? Can this help us to identify unifying principles and systematise active matter? This presentation addresses some of these questions with some concrete examples, exploring how machine learning is steering active matter towards new directions, offering unprecedented opportunities and posing practical and fundamental challenges. I will illustrate some most successful recent applications of machine learning to active matter with a slight bias towards work done in my research group: enhancing data acquisition and analysis; providing new data-driven models; improving navigation and search strategies; offering insight into the emergent dynamics of active matter in crowded and complex environments. I will discuss the opportunities and challenges that are emerging: implementing feedback control; uncovering underlying principles to systematise active matter; understanding the behaviour, organisation and evolution of biological active matter; realising active matter with embodied intelligence. Finally, I will highlight how active matter and machine learning can work together for mutual benefit.
Date: 15 April 2021
Time: 14:30-15:25
Contribution: Machine Learning for Active Matter: Opportunities and Challenges
Event: 11th Nordic Workshop on Statistical Physics: Biological, Complex, and Non-equilibrium Systems
Presentation by L. Pérez García at OSA-OMA-2021
Submitted to OSA-OMA 2021, ATh1D.5
Date: 15 April
Time: 15:45 (CEST)
Abstract:
FORMA (force reconstruction via maximum-likelihood-estimator analysis) addresses the need to measure the force fields acting on microscopic particles. Compared to alternative established methods, FORMA is faster, simpler, more accurate, and more precise. Furthermore, FORMA can also measure non-conservative and out-of-equilibrium force fields. Here, after a brief introduction to FORMA, I will present its use, advantages, and limitations. I will conclude with the most recent work where we exploit Bayesian inference to expand FORMA’s scope of application.
Laura Pérez García nominated for a Student Paper Prize at the Biophotonics Congress
Laura Pérez García has been nominated by the Optical Society of America for a Student Paper Prize for Optical Manipulation and its Applications among three other finalists. She will present her work on FORMA and BEFORE: Expanding Applications of Optical Tweezers at the Optical Manipulation and its Applications meeting as part of the 2021 OSA Biophotonics Congress: Optics in Life Sciences.
The final selection will be based on the oral talk and Laura will present her work on the 15th of April at 15:45 (CEST).
Lukas Niese joins the Soft Matter Lab
Lukas Niese is a Master student in the Chemistry Master at Technical University Dresden, Germany.
He will be working on his master’s thesis on studying microplankton behaviour with deep learning networks.
Seminar by R. Ganapathy at Soft Matter Lab, 7 April 2021
On Wednesday, 7 April 2021, Rajesh Ganapathy will give a seminar at the Soft Matter Lab and the Department of Physics, University of Gothenburg. He will speak on how energy can be harvested in microscopic environments making use of active baths.
Tuning the performance of a micron-sized Stirling engine by ‘active’ noise
Rajesh Ganapathy
Time: 07 April, 2021, 11:00
Place: Online via Zoom (link to be shared)
Abstract: Mesoscale heat engines, wherein a single atom or a micron-sized colloidal particle is the working substance, are paradigmatic models to elucidate the conversion of heat into work in a noisy environment. While stochastic thermodynamics provides a precise framework for quantifying the performance of these engines when operating between thermal baths, how energy transduction occurs when the reservoirs themselves are out-of-equilibrium, life for instance for a biological motor carrying cargo inside a cell, remains largely unclear. In the first part of my talk, I will describe the design, construction, and quantification of a colloidal Stirling geat engine operating, in the quasistatic limit, between bacterial baths characterized by different levels of activity. We will show that due to ‘active noise’ the performance of the Stirling engine even surpasses a thermal Stirling engine operating between reservoirs with an infinite temperature difference. In the second part of my talk, we will outline a reservoir engineering approach that allowed us to operate the ‘active’ Stirling engine not only in the quasi-static-limit but also at finite cycle durations. Armed with this capability, we will show that the performance of a micron-sized Stirling engine can be tuned by altering only the nature of the reservoir noise statistics.
Falko Schmidt nominated for a Student Paper Prize at the Biophotonics Congress
Falko Schmidt has been nominated by the Optical Society of America for a Student Paper Prize for Optical Manipulation and its Applications among three other finalists. He will present his work on the Dynamics of an Active Nanoparticle in an Optical Trap at the Optical Manipulation and its Applications meeting as part of the 2021 OSA Biophotonics Congress: Optics in Life Sciences.
Based on the oral presentations of the finalists, the jury will select the winner. Falko Schmidt will present on April 16th at 12:30pm (CEST).
This work is based on the article recently published in Nature Communications.
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
David Bronte Ciriza nominated for a Student Paper Prize at the Biophotonics Congress
David Bronte Ciriza has been nominated by the Optical Society of America for a Student Paper Prize for Optical Manipulation and its Applications among three other finalists. He will present his work on Machine Learning to Enhance the Calculation of Optical Forces in the Geometrical Optics Approximation at the Optical Manipulation and its Applications meeting as part of the 2021 OSA Biophotonics Congress: Optics in Life Sciences.
Based on the oral presentations of the finalists, the jury will select the winner. David Bronte Ciriza will present on April 16th at 5:00pm (CEST).