Accelerating Data and Throughput in Spatial Imaging: A Core Facility Perspective
Core facilities are often handling diverse samples and juggling multiple projects simultaneously. When choosing a spatial imaging platform, Dr. Zbigniew Mikulski, Director of the Microscopy and Histology Core Facility at La Jolla Institute for Immunology, needed a solution that balanced high-quality data, cost-effectiveness, and throughput to accommodate multiple users and high volume. Seamless integration into the core lab’s workflow was key due to the volume the facility generates, up to 15,000 histology slides annually.
In this webinar, Dr. Mikulski will share best practices from working on over 18 different projects, and how the Orion platform for spatial biology facilitated a fast, low run cost solution that works with FFPE samples. Dr. Mikulski will also discuss practices that other labs might adopt to further improve workflow efficiency and cost-effectiveness.
Key learning objectives
- Gain tips for integrating multiplexing into a busy histology laboratory
- Learn how to easily add custom biomarkers to your panel
- Understand the importance of sample quality for proper immunostaining results
Who should attend?
- Academic researchers
- Pharmaceutical companies
- Core laboratories
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
Speakers
Dr. Zbigniew Mikulski studied biotechnology at Nicolas Copernicus University, Torun, Poland, and obtained his PhD in human biology/immunology at Justus Liebig University in Giessen, Germany. He completed his post-doctoral fellowship at La Jolla Institute for Immunology, USA, where he now serves as a Director of the Microscopy and Histology Core Facility. He has over 20 years of experience in imaging with skills spanning sample preparation, widefield and confocal microscopy, intravital two-photon imaging, image analysis, and digital pathology. He is a co-host of the QuPath Training Course: ‘From Samples To Knowledge’.