"Discover RNA - the language of genomes" by Professor Matthias W. Hentze
The EMBL Insight Lecture 2021 will be presented by Dr. Anna Kreshuk, Group Leader at EMBL Heidelberg, on 12 November 2021, 10:30-11:45 CET.
Artificial Intelligence (AI) methods have revolutionized the way computers understand images, leading to the advances we see around us every day: automatic face recognition, sophisticated Instagram filters which change your age, 3D reconstructions from single snapshots – all of these fun applications have a serious theoretical underpinning. In the field of modern microscopy, where the analysis of complex biological images is not a trivial task, AI tools can help biologists to image better and faster and to make sense of gigantic image volumes produced by advanced microscopes.
In the EMBL Insight Lecture 2021, Dr. Anna Kreshuk will introduce the field of computer vision and discuss how scientists profit from its recent breakthroughs in the area of modern microscopy. The lecture will use examples of cells, hearts and worms to illustrate how the algorithms and tools developed by Anna’s research team have revealed new insights into biology.
The lecture will include Question & Answer session and we encourage you and your students to ask questions to the speaker via the “Q&A” text chat function of Zoom throughout the event. Those questions will be addressed in the final section of the lecture. You may also submit questions before or during the lecture via Twitter using #EMBLinsight
The lecture will be streamed using the “Zoom Webinar” tool. The access details will be shared with registered participants in the days preceding the event.
To watch the live stream ,you will need a computer with sound output and stable internet connection (ideally Ethernet connection, not WiFi). If you watch the lecture in class, you may want to connect your computer to a projector and a sound system to stream the event to the group.
You do not need a Zoom account to participate. You can access the lecture either via the Zoom Client or via your web browser. For best audio and video quality during the event, we recommend to use the client.
Your privacy: please note that participants will join the lecture in “listen-only” mode. Attendees will not be visible to others, and will not be able to interact via audio or camera. The list of attendees is only visible to the organisers, not to other participants.
You may register to attend either as individual or as group. To attend the lecture, please register by 9 November 2021 via the Registration Form, indicating whether you register as individual or group. You will be contacted by email within 7 days of registration to confirm your place at the event.
A couple of days before the event you will receive another email from us asking you to complete an event registration with Zoom which will provide you with access details to the event.
If you would like to attend the lecture with your class and will watch the lecture on a single electronic device (i.e. in the classroom), please choose the “group registration” option in the registration form. If you already know that your students will be watching individually from their own electronic devices (e.g. distance learning), please ask each student to fill in the registration form choosing the “individual registration” option.
Are you unsure at the time of registration whether you and your students will be watching the lecture as group or individually from home? In this case, we recommend you register your class as group. A couple of days before the event, we will ask you to complete an event registration with Zoom. At this point you can still decide to convert your group registration to individual registration, asking your students to complete their own event registrations with Zoom, so they receive individual Zoom access links for their personal devices.
More information on the concept behind EMBL Insight Lectures and recordings of previous lectures may be found here.
Date: 12 November 2021
Registration deadline: 9 November 2021
Topic area: Microscopy & Imaging, Structural & Computational biology
Age group: 16-19