Deep learning acceleration of multiscale superresolution localization photoacoustic imaging

Deep learning acceleration of multiscale superresolution localization photoacoustic imaging

Computational strategy based on deep neural networks enables to reconstruct high-density superresolution localization photoacoustic images from far fewer raw image frames.

Bibliographic Details
Main Authors: Jongbeom Kim, Gyuwon Kim, Lei Li, Pengfei Zhang, Jin Young Kim, Yeonggeun Kim, Hyung Ham Kim, Lihong V. Wang, Seungchul Lee, Chulhong Kim
Format: Article
Language:English
Published: Nature Publishing Group 2022-05-01
Series:Light: Science & Applications
Online Access:https://doi.org/10.1038/s41377-022-00820-w

Internet

https://doi.org/10.1038/s41377-022-00820-w

Similar Items