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...
| Main Authors: | , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal article |
| Language: | English |
| Published: |
Wiley
2021
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