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Citizen science, cells and CNNs – deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations
View ORCID ProfileHelen Spiers, Harry Songhurst, Luke Nightingale, View ORCID ProfileJoost de Folter, Roger Hutchings, Christopher J Peddie, View ORCID ProfileAnne Weston, Amy Strange, View ORCID ProfileSteve Hindmarsh, View ORCID ProfileChris Lintott, View ORCID ProfileLucy M Collinson, View ORCID ProfileMartin L Jones
doi: https://doi.org/10.1101/2020.07.28.223024
Helen Spiers
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
2Department of Physics, University of Oxford, Oxford, OX1 3RH, United Kingdom
Harry Songhurst
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
3University of Manchester, Manchester, M13 9PL, United Kingdom
Luke Nightingale
4Scientific Computing Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Joost de Folter
4Scientific Computing Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Roger Hutchings
2Department of Physics, University of Oxford, Oxford, OX1 3RH, United Kingdom
Christopher J Peddie
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Anne Weston
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Amy Strange
4Scientific Computing Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Steve Hindmarsh
4Scientific Computing Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Chris Lintott
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
2Department of Physics, University of Oxford, Oxford, OX1 3RH, United Kingdom
Lucy M Collinson
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Martin L Jones
1Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, United Kingdom
Posted July 29, 2020.
Citizen science, cells and CNNs – deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations
Helen Spiers, Harry Songhurst, Luke Nightingale, Joost de Folter, Roger Hutchings, Christopher J Peddie, Anne Weston, Amy Strange, Steve Hindmarsh, Chris Lintott, Lucy M Collinson, Martin L Jones
bioRxiv 2020.07.28.223024; doi: https://doi.org/10.1101/2020.07.28.223024
Citizen science, cells and CNNs – deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations
Helen Spiers, Harry Songhurst, Luke Nightingale, Joost de Folter, Roger Hutchings, Christopher J Peddie, Anne Weston, Amy Strange, Steve Hindmarsh, Chris Lintott, Lucy M Collinson, Martin L Jones
bioRxiv 2020.07.28.223024; doi: https://doi.org/10.1101/2020.07.28.223024
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