Fluorescence imaging spectroscopy utilising acousto-optic tuneable filters

Mounir Bouhifd, Maurice P. Whelan, Marc Aprahamian

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

A novel prototype instrument for mutli-spectral imaging applications is described. The device is based on an acoustooptic tuneable filter (AOTF) that can be easily attached to many standard imaging systems (e.g. endoscope or fluorescence microscope). The instrument developed offers significant advantages over typical fixed-filter based systems in terms of flexibility, performance and diagnostic potential. The selected AOTF was designed to have a large acceptance aperture suitable for imaging applications. Any filtering centre-wavelength in the visible range (450 to 700nm) can be rapidly selected by either random access or by continuous tuning thus providing a versatile performance. The prototype instrument has been demonstrated for in-vivo applications where it was attached to the eyepiece of a commercial endoscope allowing simultaneous white light and fluorescence endoscopy. Autofluorescence of endogenous protoporphyrin IX (PpIK), a biomarker of diseased tissues undergoing an inflammatory response, was mapped in vivo on a rat model. The AOTF device was also coupled to the viewing port of a commercial fluorescence microscope thus realising a powerful fluorescence imaging spectrometer capable of detecting and mapping fluorescent biomolecules in vitro.

Original languageEnglish (US)
Article number23
Pages (from-to)185-193
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5826
DOIs
StatePublished - 2005
Externally publishedYes
EventOpto-Ireland 2005: Optical Sensing and Spectroscopy - Dublin, Ireland
Duration: Apr 4 2005Apr 6 2005

Keywords

  • AOTF filtering
  • Autofluorescence
  • Endoscopy
  • Fluorescence imaging
  • Microscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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