Front Cover: A theoretical‐experimental methodology for assessing the sensitivity of biomedical spectral imaging platforms,assays, and analysis methods (J. Biophotonics 1/2018)
1. Department of Chemical and Biomolecular Engineering, University of South Alabama, 150 Jaguar Dr., SH 4129, Mobile, AL 36688, USA;2. Department of Pharmacology, University of South Alabama, USA;3. Center for Lung Biology, University of South Alabama, USA;4. IT Security & Governance, AM/NS Calvert, USA;5. Basic Medical Sciences, University of South Alabama, USA;6. Morgridge Institute for Research, University of Wisconsin - Madison, USA;7. (251) 460–6160(251) 460–1485;8. College of Engineering, University of South Alabama, USA
Abstract:
A hyperspectral image data cube acquired from HEK‐293 cells labeled with cytoplasmic and nuclear stains: Calcein Green and NucBlu. The top view (XY plane) displays three spectrally unmixed channels for cellular autofluorescence (red), Calcein Green (green), and NucBlue (blue). The Z axis shows spectral information, from low to high wavelength. The article by Leavesley and colleagues describes an approach for calculating the sensitivity of spectral imaging assays for detecting a fluorescence signature within a mix of other signatures or autofluorescence. Further details can be found in the article by Silas J. Leavesley et al. ( e201600227 ).
