Slightly off topic but perhaps of interest to students.
The MARCO (MAchine Recognition of Crystallization Outcomes) project showed that automated image analysis can be used to classify experimental results, having a 94% correct classification rate. Work on a custom image classifier using convolutional neural networks is already underway at AstraZeneca. In this project, the student will incorporate Active Learning into the training process to improve performance and use additional information from UV images to achieve higher accuracy. As the main aim of the project, the student will then use the annotated crystallisation images to connect compounds or proteins with experimental conditions using novel graph-based networks.
This is a 4-year iCASE studentship based in the Mathematics Department at the University of York fully funded by EPSRC and AstraZeneca.
Link to details:
Dr. David Hargreaves
Associate Principal Scientist
Discovery Sciences, Structure & Biophysics
Dr David Hargreaves.
Office R1-09/Lab FL54
AstraZeneca Darwin Building
Cambridge Science Park
mobile: 07525 742054
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