Image-activated Cell Sorter
Realizing the promise of real-time single-cell diagnostics and sorting
with advanced optics, machine learning and microfluidics.
© SSLAB. Creative Commons license CC BY-ND
Ghost Motion Imaging
+ Machine Learning
= Imaging-activated Cell Sorting
Ghost Cytometry has broad potential applications
in the life sciences including:
Single Cell Research:
Isolation of target cells based on their images (i.e. morphology, protein localization), in combination with downstream assays
such as DNA/RNA sequencing.
High-throughput and high-content screens of suspension cells with
phenotypic endpoints such as protein
co-localization and morphological changes.
High-throughput isolation and characterization of cell populations based on their images without use of biomarkers or stains.
High-throughput and high-accuracy detection, classification and isolation of rare cells of interest such as circulating tumor cells and other abnormal cells in blood.
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