Integrating advanced optics,
machine learning and biotechnology to improve lives

Ghost Cytometry:
Image-activated Cell Sorter

Realizing the promise of real-time single-cell diagnostics and sorting
with advanced optics, machine learning and microfluidics.


Ghost Motion Imaging
+ Machine Learning
+ Microfludics
= 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.

  • Drug Discovery:

    High-throughput and high-content screens of suspension cells with
    phenotypic endpoints such as protein
    co-localization and morphological changes.

  • Cellular Therapies:

    High-throughput isolation and characterization of cell populations based on their images without use of biomarkers or stains.

  • Clinical Diagnostics:

    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.


Interested in our technology?
Contact us to be part of our early access program.