Cargando…
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging
A superresolution imaging approach that localizes very small targets, such as red blood cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution in various biological and medical imaging modalities. However, this superior spatial resolution is achieved by sacrif...
Autores principales: | Kim, Jongbeom, Kim, Gyuwon, Li, Lei, Zhang, Pengfei, Kim, Jin Young, Kim, Yeonggeun, Kim, Hyung Ham, Wang, Lihong V., Lee, Seungchul, Kim, Chulhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095876/ https://www.ncbi.nlm.nih.gov/pubmed/35545614 http://dx.doi.org/10.1038/s41377-022-00820-w |
Ejemplares similares
-
Integrated deep learning framework for accelerated optical coherence tomography angiography
por: Kim, Gyuwon, et al.
Publicado: (2022) -
Deep learning alignment of bidirectional raster scanning in high speed photoacoustic microscopy
por: Kim, Jongbeom, et al.
Publicado: (2022) -
In vivo superresolution photoacoustic computed tomography by localization of single dyed droplets
por: Zhang, Pengfei, et al.
Publicado: (2019) -
Beyond the acoustic diffraction limit: superresolution localization optoacoustic tomography (LOT)
por: Kim, Chulhong
Publicado: (2018) -
Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT)
por: Choi, Seongwook, et al.
Publicado: (2022)