Cargando…
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (~ 1 keV), applying it for the first time to map the distribution of stain in a fixed biological sample through its characteristic K-edge. Conventionally, because the photons dete...
Autores principales: | Warr, Ryan, Ametova, Evelina, Cernik, Robert J., Fardell, Gemma, Handschuh, Stephan, Jørgensen, Jakob S., Papoutsellis, Evangelos, Pasca, Edoardo, Withers, Philip J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531290/ https://www.ncbi.nlm.nih.gov/pubmed/34675228 http://dx.doi.org/10.1038/s41598-021-00146-4 |
Ejemplares similares
-
Core Imaging Library - Part II: multichannel reconstruction for dynamic and spectral tomography
por: Papoutsellis, Evangelos, et al.
Publicado: (2021) -
Quantifying multiple stain distributions in bioimaging by hyperspectral X-ray tomography
por: Warr, Ryan, et al.
Publicado: (2022) -
Core Imaging Library - Part I: a versatile Python framework for tomographic imaging
por: Jørgensen, J. S., et al.
Publicado: (2021) -
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
por: Ji, Yuhyun, et al.
Publicado: (2023) -
Correction to: mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
Publicado: (2023)