5 results for "Christopher R. Howle"

Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy.

Ben O L Mellors; Abigail M Spear; Christopher R Howle et al.

PLoS ONE, Vol. 15 No. 9 · 2020 · English · DOAJ Scopus

The objective differentiation of facets of cellular metabolism is important for several clinical applications, including accurate definition of tumour boundaries and targeted wound debridement. To this end, spectral biomarkers to differentiate live and necrotic/apoptotic cells have been defined…

Also available at: PLOS, DOAJ

Standoff detection of bacterial spores by field deployable coherent Raman spectroscopy

Nicola Coluccelli; Gianluca Galzerano; Paolo Laporta et al.

Scientific Reports, Vol. 13 No. 1 · 2023 · English · DOAJ Scopus

Abstract Vibrational spectroscopies offer great potential for standoff detection of chemical and biological warfare agents, avoiding contamination to the operator and equipment. Among them, particularly promising is Coherent anti-Stokes Raman scattering (CARS) spectroscopy, using synchronized…

Dynamics of Photo‐Induced Surface Oxygen Vacancies in Metal‐Oxide Semiconductors Studied Under Ambient Conditions

Daniel Glass; Emiliano Cortés; Sultan Ben‐Jaber et al.

Advanced Science, Vol. 6 No. 22 · 2019 · English · DOAJ Scopus

Abstract Surface‐enhanced Raman spectroscopy (SERS) is a powerful analytical technique commonly used in the detection of traces of organic molecules. The mechanism of SERS is of a dual nature, with Raman scattering enhancements due to a combination of electromagnetic (EM) and chemical…