@inproceedings{ea248e8c90154df7a5c2009d2841da0b,
title = "Volumetric fluorescence microscopy using convolutional recurrent neural networks",
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.",
author = "Luzhe Huang and Yilin Luo and Yair Rivenson and Aydogan Ozcan",
note = "Publisher Copyright: {\textcopyright} 2021 OSA.; 2021 Conference on Lasers and Electro-Optics, CLEO 2021 ; Conference date: 09-05-2021 Through 14-05-2021",
year = "2021",
month = may,
day = "1",
language = "English",
series = "2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings",
address = "United States",
}