Exclusive Event for Cell Imaging Aficionados
Cenibra and Yokogawa are hosting an exclusive evening on May 20th — the night before the SLAS conference — in the inspiring setting of Miniatur Wunderland, Hamburg.
Join leading experts in high-content imaging for an evening of innovation, networking, and exclusive insights.
You'll experience a full scientific program featuring high-profile talks, a sneak peek at groundbreaking developments in high-content imaging, and a relaxed evening of drinks, snacks, and networking. Afterwards, enjoy private access to Miniatur Wunderland, including behind-the-scenes tours and all the wonders this world-famous location has to offer.
The Miniatur Wunderland is not only one of Germany's top attractions, but a true symbol of technology, innovation, and creativity, offering the perfect environment for this evening.
You can find all information on location, speakers and agenda below. Due to limited capacity, we encourage you to register through the form now to enter the ticket pool.
We look forward to welcoming you to Hamburg for an unforgettable evening!
Due to the limited capacity and the large interest in our event please understand that tickets cannot be issued immediately, you will be alerted some 2 weeks prior to the event if you´ve made it on the list.
Please register only if you are really planning to attend, every no-show is blocking a spot for somebody else who would have been truly interested.
Agenda
We’re excited to share the agenda for this event!
Find all details, speaker bios, and abstracts below. Get ready for an inspiring evening.
18:00 - Opening Reception
18:25 - Welcome and Introduction
18:30 - Stefan Prechtl – "Beyond the Microscope: Next-Gen High-Content Imaging in AI-Driven Preclinical Research"
19:00 - Eugenio Fava – "From High-Content Imaging to Multimodal Data Linkage: Advancing Insights into Human Diseases"
19:30 - News from Yokogawa and Cenibra
19:35 - Snacks, drinks, discussions
20:00 - Opening of Miniatur Wunderland exclusively for our audience
Speakers
Beyond the Microscope: Next-Gen High-Content Imaging in AI-Driven Preclinical Research
High-Content Imaging (HCI) has evolved far beyond the traditional microscope - it has become a key enabler for AI-driven, automated, and scalable preclinical research. But what technologies are driving this transformation?
This talk will explore the next generation of HCI and how artificial intelligence, robotics, automation, and multimodal data analysis are revolutionizing the field by improving data quality, increasing experimental throughput, and accelerating the translation of preclinical insights into clinical applications.
In addition to the opportunities, challenges will be addressed - from managing large amounts of data to algorithmic biases and integrating AI into existing R&D workflows. What solutions are emerging? What disruptive technologies will redefine the HCI landscape in the coming years?
A forward-looking perspective reveals that HCI will make research not only more accurate, but also more intelligent - if we make the right strategic decisions today.
Key Topics:
- Next-generation HCI - from classical microscopy to AI-powered analytics.
- Automation & Robotics - increasing efficiency through intelligent systems.
- Multimodal Data Utilization - integrating imaging, omics, and AI-driven predictive models.
- Challenges & Opportunities - scalability, data integrity, algorithm transparency.
- Future Outlook - what to expect in the next 5 years.
From High-Content Imaging to Multimodal Data Linkage: Advancing Insights into Human Diseases
High-content imaging has transformed our ability to analyze cellular and tissue features at high resolution, but fully understanding human diseases requires richer data from our models. The merging of different technologies could help in this task. Multimodal correlative imaging combines complementary techniques within a single sample, providing a multi-scale view of disease mechanisms and improving biomarker discovery and possibly patient stratification. Additionally, integrating imaging driven data with omics data and clinical data will help enhancing predicitivity and translational research of the cellular models used. This talk explores strategies for multimodal data integration, highlighting computational approaches, challenges, and applications in drug discovery and precision medicine.