Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations

Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations

Advancements in volume electron microscopy mean it is now possible to generate thousands of serial images at nanometre resolution overnight, yet the gold standard approach for data analysis remains manual segmentation by an expert microscopist, resulting in a critical research bottleneck. Although s...

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Bibliografske podrobnosti
Main Authors: Spiers, H, Songhurst, H, Nightingale, L, de Folter, J, Hutchings, R, Peddie, CJ, Weston, A, Strange, A, Hindmarsh, S, Lintott, CJ, Collinson, LM, Jones, ML
Drugi avtorji: Zooniverse Volunteer Community
Format: Journal article
Jezik:English
Izdano: Wiley 2021

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