Multi-window sparse spectral sampling stimulated Raman scattering microscopy

© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement..

Stimulated Raman scattering (SRS) is a nondestructive and rapid technique for imaging of biological and clinical specimens with label-free chemical specificity. SRS spectral imaging is typically carried out either via broadband methods, or by tuning narrowband ultrafast light sources over narrow spectral ranges thus specifically targeting vibrational frequencies. We demonstrate a multi-window sparse spectral sampling SRS (S4RS) approach where a rapidly-tunable dual-output all-fiber optical parametric oscillator is tuned into specific vibrational modes across more than 1400 cm-1 during imaging. This approach is capable of collecting SRS hyperspectral images either by scanning a full spectrum or by rapidly tuning into select target frequencies, hands-free and automatically, across the fingerprint, silent, and high wavenumber windows of the Raman spectrum. We further apply computational techniques for spectral decomposition and feature selection to identify a sparse subset of Raman frequencies capable of sample discrimination. Here we have applied this novel method to monitor spatiotemporal dynamic changes of active pharmaceutical ingredients in skin, which has particular relevance to topical drug product delivery.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Biomedical optics express - 12(2021), 10 vom: 01. Okt., Seite 6095-6114

Sprache:

Englisch

Beteiligte Personen:

Pence, Isaac J [VerfasserIn]
Kuzma, Benjamin A [VerfasserIn]
Brinkmann, Maximilian [VerfasserIn]
Hellwig, Tim [VerfasserIn]
Evans, Conor L [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Revised 21.09.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1364/BOE.432177

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM33283767X