Hyperspectral stimulated Raman microscopy with two fiber laser sources

Matthias Eibl, Sebastian Karpf, Wolfgang Wieser, Thomas Klein, Robert Huber

Abstract

A fast all fiber based setup for stimulated Raman microscopy based on a rapidly wavelength swept cw-laser is presented. The applied Fourier domain mode locked (FDML) laser is a fiber ring laser, providing a continuously changing wavelength output over time. This fast swept source allows us to rapidly change the wavelength and, thereby the energy difference with respect to a single color pump laser. The pump laser is a master oscillator power amplifier based on a fiber amplified laser diode and a Raman shifter. By controlled variation of the relative timing between probe and pump laser with an arbitrary waveform generator, the Raman signals are encoded in time and they are directly acquired with a synchronized, fast analog-to-digital converter. This setup is capable of acquiring rapidly high resolution spectra (up to 0.5 cm-1) with shot noise limited sensitivity over a broadband (750 cm-1 to 3150 cm-1) spectral region. Here, we show the performance of this system for imaging in the CH-stretch region around 3000 cm-1 and in the fingerprint region around 1600 cm-1. We present hyperspectral images of a plant stem slice with molecular contrast of lignin and a lipid representative as well as images of PS (polystyrene) and PMMA (poly(methyl methacrylate) beads with an acquisition speed of 18 μs per spectral point.

OriginalspracheEnglisch
TitelAdvanced Microscopy Techniques IV; and Neurophotonics II
Redakteure/-innenEmmanuel Beaurepaire, Peter T. C. So, Francesco Pavone, Elizabeth M. Hillman
Seitenumfang6
Band953604
Herausgeber (Verlag)SPIE
Erscheinungsdatum01.01.2015
Seiten 953604-953604-6
ISBN (Print)9781628417012
DOIs
PublikationsstatusVeröffentlicht - 01.01.2015
VeranstaltungEUROPEAN CONFERENCES ON BIOMEDICAL OPTICS - München, Deutschland
Dauer: 21.06.201525.06.2015
Konferenznummer: 131538
https://spie.org/conferences-and-exhibitions?webSyncID=8ea9e3e7-7b6b-4836-788d-177c8547e3b2&sessionGUID=7a4397d1-7ae8-5844-19e9-c62bcc516bb5&_ga=2.220047066.216408110.1526970521-1856364488.1526970521&SSO=1

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