High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
Sushmita Sridhar,
Sally Forrest,
Ben Warne,
Mailis Maes,
Stephen Baker,
Gordon Dougan,
Josefin Bartholdson Scott
Affiliations
Sushmita Sridhar
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
Sally Forrest
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
Ben Warne
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
Mailis Maes
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
Gordon Dougan
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge Department of Medicine, Jeffrey Cheah Biomedical Centre, Cambridge, United Kingdom
High-content imaging (HCI) is a microscopy technique that permits the screening of multiple cells simultaneously in high resolution to detect subtle morphological and phenotypic variation. The power of this methodology is that it can generate large data sets comprised of multiple parameters taken from individual cells subjected to a range of different conditions.
