Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 49,
  • Issue 7,
  • pp. 971-976
  • (1995)

Confocal Image Properties of a Confocal Scanning Laser Visible Light FT-Raman Microscope

Not Accessible

Your library or personal account may give you access

Abstract

The confocal Raman microscope is an instrument designed for acquisition of high-contrast volumetric Raman spectral images of three-dimensional chemical structures. Little effort, however, has gone into the investigation of the spatial imaging properties of this class of confocal microscope. In this paper we present experimental results, obtained with a confocal scanning laser visible light FT-Raman microscope we built, that demonstrates the high depth resolution and enhanced Raman image contrast intrinsic to the confocal Raman microscope design. We explore these microscope properties through a combination of experimental measurement and theory based on a paraxial wave diffraction model.

PDF Article
More Like This
Chemical imaging with a confocal scanning Fourier-transform–Raman microscope

Colin J. H. Brenan and Ian W. Hunter
Appl. Opt. 33(31) 7520-7528 (1994)

A handheld laser scanning confocal reflectance imaging–confocal Raman microspectroscopy system

Chetan A. Patil, Christopher L. Arrasmith, Mark A. Mackanos, David L. Dickensheets, and Anita Mahadevan-Jansen
Biomed. Opt. Express 3(3) 488-502 (2012)

Video-rate confocal scanning laser microscope for imaging human tissues in vivo

Milind Rajadhyaksha, R. Rox Anderson, and Robert H. Webb
Appl. Opt. 38(10) 2105-2115 (1999)

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.