Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Abstract 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 pho...
Main Authors: | Ryan Warr, Evelina Ametova, Robert J. Cernik, Gemma Fardell, Stephan Handschuh, Jakob S. Jørgensen, Evangelos Papoutsellis, Edoardo Pasca, Philip J. Withers |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-10-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-00146-4 |
Similar Items
-
Quantifying multiple stain distributions in bioimaging by hyperspectral X-ray tomography
by: Ryan Warr, et al.
Published: (2022-12-01) -
Spatiospectral brain networks reflective of improvisational experience
by: Josef Faller, et al.
Published: (2021-11-01) -
Simultaneously Spatiospectral Pattern Learning and Contaminated Trial Pruning for Electroencephalography-Based Brain Computer Interface
by: Chun-Ping Shieh, et al.
Published: (2020-08-01) -
Low-rank flat-field correction for artifact reduction in spectral computed tomography
by: Katrine Ottesen Bangsgaard, et al.
Published: (2023-12-01) -
Dark-Field Hyperspectral Microscopy for Carbon Nanotubes Bioimaging
by: Ilnur Ishmukhametov, et al.
Published: (2021-12-01)