Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Hyperspectral and differential CARS microscopy for quantitative chemical imaging in human adipocytes

Di Napoli, Claudia, Pope, Iestyn, Masia, Francesco, Watson, Peter Duncan, Langbein, Wolfgang Werner and Borri, Paola 2014. Hyperspectral and differential CARS microscopy for quantitative chemical imaging in human adipocytes. Biomedical Optics Express 5 (5) , pp. 1378-1390. 10.1364/BOE.5.001378

[img]
Preview
PDF - Published Version
Download (2MB) | Preview

Abstract

In this work, we demonstrate the applicability of coherent anti-Stokes Raman scattering (CARS) micro-spectroscopy for quantitative chemical imaging of saturated and unsaturated lipids in human stem-cell derived adipocytes. We compare dual-frequency/differential CARS (D-CARS), which enables rapid imaging and simple data analysis, with broadband hyperspectral CARS microscopy analyzed using an unsupervised phase-retrieval and factorization method recently developed by us for quantitative chemical image analysis. Measurements were taken in the vibrational fingerprint region (1200–2000/cm) and in the CH stretch region (2600–3300/cm) using a home-built CARS set-up which enables hyperspectral imaging with 10/cm resolution via spectral focussing from a single broadband 5 fs Ti:Sa laser source. Through a ratiometric analysis, both D-CARS and phase-retrieved hyperspectral CARS determine the concentration of unsaturated lipids with comparable accuracy in the fingerprint region, while in the CH stretch region D-CARS provides only a qualitative contrast owing to its non-linear behavior. When analyzing hyperspectral CARS images using the blind factorization into susceptibilities and concentrations of chemical components recently demonstrated by us, we are able to determine vol:vol concentrations of different lipid components and spatially resolve inhomogeneities in lipid composition with superior accuracy compared to state-of-the art ratiometric methods.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Biosciences
Publisher: OSA
ISSN: 2156-7085
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 9 March 2014
Last Modified: 15 Sep 2019 22:42
URI: http://orca-mwe.cf.ac.uk/id/eprint/58703

Citation Data

Cited 2 times in Google Scholar. View in Google Scholar

Cited 26 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics