Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 50,
  • Issue 8,
  • pp. 1007-1014
  • (1996)

Remote Raman Microimaging Using an AOTF and a Spatially Coherent Microfiber Optical Probe

Not Accessible

Your library or personal account may give you access

Abstract

A fiber-optic Raman microimaging probe is described that is suitable for acquiring high-spatial-resolution Raman images in sampling situations with no clear line of sight. A high-power near-infrared diode laser combined with an acousto-optic tunable filter and a spatially coherent optical fiber bundle allow fluorescence-free Raman images of remotely located samples to be acquired at distances up to several meters. The feasibility of this technique is demonstrated with Raman images of (1) a pellet containing a mixture of a highly scattering sample, bis-methylstyrylbenzene (BMSB), KCl, and graphite, and (2) a partially graphitized diamond. These images clearly show phase boundaries over an area of approximately 0.1 mm<sup>2</sup> with ~4-μm resolution.

PDF Article
More Like This
Long fiber-optic remote Raman probe for detection and identification of weak scatterers

Christian L. Schoen, Thomas F. Cooney, Shiv K. Sharma, and David M. Carey
Appl. Opt. 31(36) 7707-7715 (1992)

Electronically tunable coherent Raman spectroscopy using acousto-optics tunable filter

Georgi I. Petrov, Zhaokai Meng, and Vladislav V. Yakovlev
Opt. Express 23(19) 24669-24674 (2015)

Remote probing using spatially filtered apertures

R. W. Lee
J. Opt. Soc. Am. 64(10) 1295-1303 (1974)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.