Conference Agenda

Please note small changes to the agenda are still possible.

Read about the Topical Meetings and sessions of the conference

Select a date or location to show sessions only on that day or location.
Select a single session for a detailed view (with abstracts and downloads when you are logged in as a registered attendee).

Please note that all times are shown in the time zone of the conference. The current conference time is: 1st May 2025, 01:18:06am CEST

 
Only Sessions at Location/Venue 
 
 
Session Overview
Location: A.2.1
Date: Monday, 09/Sept/2024
1:00pm - 2:30pmTutorial Jacopo Bertolotti
Location: A.2.1
 
Tutorial
ID: 528
Tutorial Speeches

Scientific Visualizations: Animating Physics for Science Communication

Jacopo Bertolotti

University of Exeter, United Kingdom

If an image is worth a thousand words, how many is an animation worth? When is the effort needed to create an animation to visualize your science worth it? In this tutorial we will discuss the advantages and disadvantages of animations, and how someone without any artistic skills (like me) can produce effective ones for both outreach or as a teaching aid.

 
2:30pm - 4:00pmTutorial Giovanni Pellegrini
Location: A.2.1
 
Tutorial
ID: 533
Tutorial Speeches

From Code to Light: Using Machine Learning and Optimization Techniques to Design Photonic Nanostructures

Giovanni Pellegrini

Università degli studi di Pavia, Italy

This tutorial explores the intersection between machine learning and nanophotonics. We will leverage neural networks, gradient-based and gradient-less optimization techniques for the efficient design of photonic nanostructures with tailored optical properties. With the help of the supplied Jupyter notebooks, participants will be able to immediately tackle the proposed design problems.

 
4:30pm - 6:00pmTutorial Alberto Puliafito
Location: A.2.1
 
Tutorial
ID: 531
Tutorial Speeches

Quantitative image processing of biochemical signals

Alberto Puliafito

University of Turin, Italy

A number of different techniques exist to extract quantitatively meaningful signals from digital images obtained by optical microscopy. This tutorial will present a quick overview of classical image processing techniques flanked by machine learning based techniques with the aim of quantifying live microscopy of living cells equipped with fluorescent biosensors.

 

 
Contact and Legal Notice · Contact Address:
Privacy Statement · Conference: EOSAM 2024
Conference Software: ConfTool Pro 2.6.153+TC+CC
© 2001–2025 by Dr. H. Weinreich, Hamburg, Germany