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Conferences > CLEO_SI > 2021 > STh2D > STh2D.3

Volumetric fluorescence microscopy using convolutional recurrent neural networks

Luzhe Huang, Yilin Luo, Yair Rivenson, and Aydogan Ozcan

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Abstract

We demonstrate a convolutional recurrent neural network-based volumetric imaging framework, termed Recurrent-MZ. Using a few 2D fluorescence microscopy images as its input, Recurrent-MZ provides a 50-fold extended depth-of-field in imaging of 3D fluorescent samples.

© 2021 The Author(s)

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