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HIGH CONTENT IMAGING AND FLOW CYTOMETRY
IN DRUG DISCOVERY 2023
PROGRAMME
The Day 1 & Day 2 scientific tracks at High Content Imaging And Flow Cytometry is sponsored by
Meet our plenary Speakers
Gregory Way
Assistant Professor, Department of Biomedical Informatics
University of Colorado School of Medicine
Image-based profiling software and machine learning for high-throughput phenotype prediction
Greg's lab develops methods and software to analyse microscopy images of cells for translational research and drug screening. His lab has recently been awarded funding to pursue these approaches in large-scale drug screens for paediatric cancers and in modelling patient-derived organoids.
In his plenary talk titled “Image-based profiling software and machine learning for high-throughput phenotype prediction”, Greg describes how his lab is developing open-source software to solve the bottleneck of analysing image data and interpreting phenotypes.
Using three case studies, Greg describes how they have been able to predict phenotypes by combining their software with machine learning. Firstly, in a drug screen he compares phenotype predictions across morphology and gene expression measurements. Secondly, he shows that cell morphology can predict various cell health and toxicity phenotypes. And finally, he moves to an application of single cell phenotype interpretation. He is excited to discuss these developments with the community at ELRIG.
Prof. Rachel Errington
Deputy Head, School of Medicine and Academic
Head of Tissue Microenvironment Group, Department of Cancer and Genetics
University of Cardiff
Title TBC
Cell painting is a description of how different dyes are used to stain specific targets within a cell which when used in combination can give information about the cell’s health and response to a given stimuli.
Rachel will discuss some of the considerations her group use when developing new paints. For example does this paint provide a bridge between other kinds of cell data and painting? Can the paint be used across different platforms? Is the readout specific enough that it could be used on widely available instruments in a routine setting e.g. as a diagnostic in a clinical laboratory? However, there are challenges when transferring cell painting to the clinical laboratory around ease of use, equipment and most importantly, assay robustness.
Rachel is also talking about their research group, moving from painting single cells to looking at patient-derived 3D tissues, particularly at the role of extracellular vesicles and their influence on the tissue microenvironment and role in cell-cell communication.