Abstract

Multiplexed analysis of biological structures detected by label-free imaging is becoming tractable with deep learning. We demonstrate improved learning of ordered structures from quantitative birefringence images using a deep convolutional neural network.

© 2019 The Author(s)

PDF Article
More Like This
Autofocusing of fluorescent microscopic images through deep learning convolutional neural networks

Thanh Nguyen, Anh Thai, Pasham Adwani, and George Nehmetallah
W3A.32 Digital Holography and Three-Dimensional Imaging (DH) 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_SI) 2019

Deep Learning Microscopy: Enhancing Resolution, Field-of-View and Depth-of-Field of Optical Microscopy Images Using Neural Networks

Yair Rivenson, Zoltán Göröcs, Harun Günaydın, Yibo Zhang, Hongda Wang, and Aydogan Ozcan
AM1J.5 CLEO: Applications and Technology (CLEO_AT) 2018

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription