Deep image prior for undersampling high-speed photoacoustic microscopy

Deep image prior for undersampling high-speed photoacoustic microscopy

Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser’s repetition rate, state-of-the-art high-speed PAM technology often sacrifices spatial sampling density (i.e., undersampling) for increased imaging speed over a large field-of-view....

Full description

Bibliographic Details
Main Authors: Tri Vu, Anthony DiSpirito, III, Daiwei Li, Zixuan Wang, Xiaoyi Zhu, Maomao Chen, Laiming Jiang, Dong Zhang, Jianwen Luo, Yu Shrike Zhang, Qifa Zhou, Roarke Horstmeyer, Junjie Yao
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Photoacoustics
Subjects:
Convolutional neural network
Deep image prior
Deep learning
High-speed imaging
Photoacoustic microscopy
Raster scanning
Online Access:http://www.sciencedirect.com/science/article/pii/S2213597921000276

Internet

http://www.sciencedirect.com/science/article/pii/S2213597921000276

Similar Items