Red blood cell Raman microscopy: modelling sub-cellular biochemistry

Volkov, VV, Aizenberg, J and Perry, CC ORCID: https://orcid.org/0000-0003-1517-468X, 2025. Red blood cell Raman microscopy: modelling sub-cellular biochemistry. Physical Chemistry Chemical Physics, 27 (22), pp. 11955-11973. ISSN 1463-9076

	Text 2449281_Perry.pdf - Post-print Full-text access embargoed until 19 May 2026. Download (1MB)
	Image 2449294_Perry_Supp.tif - Supplemental Material Full-text access embargoed until 19 May 2026. Download (1MB)

Abstract

We develop a quantitative Raman microscopy approach to study erythrocyte biochemistry at the sub-cellular level. To model Raman microscopy images, we review theory of Raman tensors and derive expressions for Raman responses suitable to compute Raman micro-images accounting effects of radial and vertical deformations of cellular envelopes. In application to membrane components, we extend the approach to a “counted per rotation” fast imaging protocol: once having Raman tensors for a molecule, precomputed expressions of molecular distributions can be used to construct Raman images of the modelled membrane envelope and its Raman spectra under any polarisation setting instantly. Using the theory, we review sub-cellular distributions of oxy-, deoxy- and methaemoglobins, as measured in experiment, considering their role in oxygen transport and oxidative stress mechanisms in the cytosol and when next to a membrane. We discuss possible applications of the approach in membrane specific studies, and its potential for combination with phase-sensitive and confocal fluorescence microscopy for advancing health care diagnostics.

Item Type:	Journal article
Publication Title:	Physical Chemistry Chemical Physics
Creators:	Volkov, V.V., Aizenberg, J. and Perry, C.C.
Publisher:	Royal Society of Chemistry (RSC)
Date:	14 June 2025
Volume:	27
Number:	22
ISSN:	1463-9076
Identifiers:	Number Type 10.1039/d5cp00172b DOI 2449294 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Borcherds
Date Added:	06 Jun 2025 09:30
Last Modified:	06 Jun 2025 09:30
URI:	https://irep.ntu.ac.uk/id/eprint/53704

Actions (login required)

Edit View

Statistics

Views

Downloads