Date: Tuesday 31st March 2020 Time: 14:00 - 15:00 UK Time Speakers: Ketil Tvermosegaard (GSK).
The slides for this event can be downloaded here.
This webinar is free for PSI Members and Non-Members.
Label-based flow cytometry allows the quantification of target features of interest by attaching fluorophores (labels) to antibodies and measuring the resulting fluorescence at the relevant wavelengths. This is widely used for cell sorting, i.e., determining cell types.
Image flow cytometry is a technology which enables single cell images in cell sorting experiments. Problematically, directly using this data for classification involves manual inspection of many thousands of images. This creates a bottleneck for analysis and scalability.
As part of an epithelial barrier project; a Medium Throughput screen was conducted to investigate whether candidate CRISPR gene knockouts modulated the proportion of cells which differentiated into ciliated cells (important for indications such as COPD and asthma).
However, the team hypothesized that traditional label-based flow cytometry did not always properly classify cell types. We were approached about developing a scalable way of using image flow cytometry for determining whether cells are ciliated. This would provide them with an alternative endpoint and a way to test their hypothesis.
In this project, we;
1) Developed Python code to extract images from the proprietary file format
2) Built a proof-of-concept convolutional neural network. Results here suggested the problem was solvable with Deep Learning
3) Initiated a Tessella Analytics Partnership project with Tessella
4) Worked with Tessella to steer their development of an appropriate architecture for the neural network, which achieved better-than-human performance
5) Applied the trained network to a validation screen and confirmed disagreements between label-based and label-free flow cytometry.
PSI EIWG Webinar: PIONEERing estimands in Clinical Research (Session 2)
Bringing estimands to life through a real case study. Members of the estimands Implementation Working Group (EIWG) will describe the background and study objectives, intercurrent events of interest and chosen estimands in the PIONEER study.
Our annual PSI Medical Statistics Careers Event, will be held online using the Career Fair Plus app on Wednesday 3rd March 2021. The event will include a live online panel discussion and a virtual exhibition session.
Discover your extraordinary potential by working as a Covance AD, Biostatistics / Senior Principal Biostatistician. You will consult in the design of complex and innovative studies & clinical trial programs as well as Leading DMC/DSMB processes.
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Senior Principal / Principal Biostatistician (Oncology) – FSP
Join our team as a Covance FSP Senior Principal or Principal Biostatistician. You will be assigned to one Sponsor working on Phase I and II oncology studies. Previous Lead experience essential. Office or home-based anywhere in Europe or South Africa.