Reprogramming and differentiating patient-derived and genetically modified hiPSCs are crucial for developing accurate disease models and therapeutics. However, traditional hiPSC methods can be inefficient and cause high heterogeneity. This webinar explores processes to automate and optimize your workflow to improve research outcomes:
• Streamline hiPSC workflows for reprogramming and multi-lineage differentiations, including cardiac, neuronal, hematopoietic, and lung progenitor fates.
• Select colonies based on monoclonalityEvidence that a colony/line originated from one cell; often supported by time-course imaging and traceability. More, morphology, size, or gene expression.
• Eliminate the need for manual manipulation of sensitive cells to reduce population heterogeneity and improve differentiation success.
• Improve efficiency, survivability, and ease-of-use for hiPSC-derived cell types to advance disease modeling, drug discovery, and personalized therapeutics.
Presenter: Sonja Mihailovic, Ph.D., Scientist
