Article

Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets

2018-02-28

Abstract excerpt

Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the microscale, but bring with them larger and more complex datasets. New image processing techniques are therefore called for to analyze the resulting images in an accurat...

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Literature Corpus work: 9d1c6cc4-39fe-5307-b8a9-cb85f97081cc
DOI: 10.1101/273318

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