Recurrent neural network-based volumetric fluorescence microscopy

21 Oct 2020 Luzhe Huang Yilin Luo Yair Rivenson Aydogan Ozcan

Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-based volumetric image inference framework that uses 2D images that are sparsely captured by a standard wide-field fluorescence microscope at arbitrary axial positions within the sample volume... (read more)

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METHOD TYPE
Axial
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