Introduction:

Functional genomics requires a rapid and unbiased screening platforms to identify phenotypic changes after genetic manipulation. Here we show the use of VisionSort, powered by Ghost Cytometry (GC) technology, as a novel approach to enable phenotypic screening in flow using NFkB translocation as a model phenotype. 

Summary:

1. VisionSort can create machine learning models to recognize specialized molecular phenotypes
2. VisionSort was able to create a machine learning model to identify known mediators of NFkB signalling in a proof-of-concept CRISPR screen
3. VisionSort enables functional genomics screening without the need for single cell plating – significantly increasing throughput and reducing time to results 

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