Accelerating research with organoid disease models
To create a large biobank, reliable culture and analysis methods are required, including robust quality-control assays to evaluate the key characteristics of the organoid disease model created. Historically, the characterization and optimization of such assays have been limited in throughput and subject to qualitative assessment. To overcome this barrier, a reproducible quantitative high-throughput solution is required.
In this webinar, we demonstrate how Sartorius’ Incucyte SX5 live-cell microscopy system was implemented to monitor and automatically quantify cancer and intestinal organoid models’ growth kinetics and changes in morphology upon differentiation for their quality-control assessments.
What will you learn?
- Learn more about biobanks and bespoke downstream application assays for organoid disease models
- Explore a reproducible high-throughput solution for robust quality-control assays
- Learn how to monitor and automatically quantify organoid growth kinetics and changes in morphology
Who may this interest?
- Those interested in the importance of organoids in disease modeling
- Those working with complex 3D-advanced-cell models
- Those seeking deeper insights into their live-cell assays
Panelist
Maryna Panamarova
Technical Specialist, Cellular Generation
Wellcome Trust Sanger Institute
Maryna holds a BSc in molecular biology and a PhD in human embryonic stem cell epigenetics; she has worked in mouse and human embryonic stem cell biology and induced pluripotent stem cell biology for 15 years. Maryna joined the Wellcome Trust Sanger Institute in 2020, where she led the development of a high-throughput method producing iPSC-derived neuronal models before moving on to upscale and automate the derivation and culture of patient- and iPSC-derived organoid models. Maryna works across multiple high-scale organoid-production projects to generate organoid biobanks, addressing the unmet clinical needs in inflammatory bowel disease, endometriosis and skin diseases.
This webinar was recorded on October 18, 2023.
In association with
