Transforming Flow Cytometry With Real-Time Imaging
Real-time imaging (RTI) technology is transforming the field of flow cytometry by enabling novel cell sorting based on imaging features.
By incorporating image-derived parameters and sophisticated algorithms, this camera-free imaging technology is not limited by fluidic requirements or image processing time, enabling image cell sorting and fast throughput at speeds up to 10,000 events per second.
This webinar explores key considerations for experimental design, gating and sorting, showing how to leverage image features for breakthrough insights.
Watch this webinar to discover:
- How real-time imaging (RTI) technology can be used to measure the relative location of fluorescence signals and track morphological changes in cell populations
- How image features can be applied for different applications
- How to gate and sort with imaging features in the same way you do with flow parameters
Speaker
Aaron Middlebrook
Sr. Staff Scientist, R&D
BD Biosciences
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