DEDeutsch
+49 5461 7089089

 

 

 

 

 

 

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.

Register here to enter the ticket pool. You will be notified if you managed to secure a ticket to the event.

Name
Company / Institution
Address
ZIP Code / City
E-Mail
Phone Number

Experience in High Content Imaging

Are you planning to attend the SLAS conference as well?

Bitte rechnen Sie 8 plus 1.

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

The Location

Miniatur Wunderland
Kehrwieder 2
20457 Hamburg

 

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.
Stefan Prechtl, Dr. rer. nat.
Founder & Advisor CELLIMA GmbH

Stefan is a seasoned Life Sciences consultant, R&D strategist, and High-Content Imaging (HCI) expert with over 20 years of experience in pharmaceutical research. His expertise lies in the integration of AI, robotics, and automation into phenotypic screening processes, making drug discovery faster, more precise, and highly scalable.

With a background as a scientist and team leader at Bayer, as well as an advisor to numerous pharma and biotech companies, he understands the challenges of modern research firsthand. His passion revolves around one key question: How can we leverage technology to accelerate scientific breakthroughs?

In his talk, he shares practical insights, fresh perspectives, and innovative strategies on how HCI can be a game-changer in modern drug discovery and pharmaceutical research.

Eugenio Fava
Human Technopole National Facilities

Eugenio Fava is the Head of the Human Technopole National Facilities. With over 20 years of experience managing state-of-the-art research infrastructures, he has worked across academia and industry to advance biomedical research. He specializes in developing cutting-edge technologies, including high-content imaging, laboratory automation, multimodal data integration, and computational approaches. With extensive expertise in preclinical target identification and drug discovery, he optimizes research workflows and fosters interdisciplinary collaboration. Through his work, he supports innovation, accelerates scientific discovery, and strengthens the bridge between fundamental research and its real-world applications in healthcare and biotechnology.

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.