Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Autofocusing of fluorescent microscopic images through deep learning convolutional neural networks

Not Accessible

Your library or personal account may give you access

Abstract

We present convolutional neural network models that can predict focused fluorescent microscopic images (modified UNET with cGAN) as well as the focal length (using the VGG model) from blurred images captured at overfocused or underfocused planes.

© 2019 The Author(s)

PDF Article
More Like This
Fluorescence Lifetime Imaging with Compressive Sensing through Deep Convolutional Neural Network

Ruoyang Yao, Marien Ochoa, Xavier Intes, and Pingkun Yan
OF2D.4 Optical Tomography and Spectroscopy (OT&S) 2018

Learning Biological Structures from Birefringence images with Deep Neural Networks

Syuan-Ming Guo, Anitha Krishnan, Jenny Folkesson, Jim Karkanias, and Shalin B. Mehta
MTu3D.3 Mathematics in Imaging (MATH) 2019

Deep Learning-designed Diffractive Neural Networks

Xing Lin, Yair Riverson, Nezih T. Yardimci, Muhammed Veli, Yi Luo, Mona Jarrahi, and Aydogan Ozcan
SF1N.2 CLEO: Science and Innovations (CLEO:S&I) 2019

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved