Data Study Group Final Report: Bristol University – Applying AI and machine learning to reveal the molecular basis of heart disease

Eron Cemal, Vasiliki Chatzi, Andrin Fluetsch, Valeriia Haberland, Simon Skinner, Maria Veretennikova, Haoyi Wang

Research output: Book/ReportCommissioned report


Automated actin filament detection in cryo electron microscopy images using image segmentation deep neural networks

This report presents the output of the Cryo-EM challenge organised by The Alan Turing Institute and Jean Golding Institute as part of the Turing Data Study Group event in Bristol, August 2019. The aim of this challenge was to create an automated image processing workflow of actin filament identification, straightening, and extraction. This would be an important step towards detecting the troponin located on top of these actin filaments.
Original languageEnglish
PublisherThe Alan Turing Institute
Publication statusPublished - 5 Nov 2020
Externally publishedYes

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