Automated laser-scanning-microbeam fluorescence/Raman image analysis of human lens with multichannel detection: evidence for metabolic production of a green fluorophor.

N. T. Yu*, M. Z. Cai, D. J. Ho, J. F. Kuck

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

Abstract

A laser-microprobe fluorescence/Raman spectrometer with a 700-channel detector has been constructed and applied to the collection of data on the distribution of a green fluorophor throughout the exposed area of a human lens sectioned along the visual axis. The area (approximately 6.5 X 9.5 mm) covering the lens section was scanned automatically by the microprobe programmed to measure the fluorescence intensity at 1200 data points. The spectrometer output was accumulated in a microcomputer and displayed as a three-dimensional perspective view showing the fluorescence intensity at each point on the grid. The method permits the precise and detailed mapping at high resolution of the spatial distribution of a fluorophor or Raman-emissive constituent in a plane of the frozen lens to give results not obtainable by any other feasible procedure. The green fluorophor (441.6 nm, excitation wavelength; 520 nm, peak emission wavelength) has a distribution indicating a metabolic rather than a photochemical mode of production. Moreover, the lower level of fluorophor in the anterior segment suggests the existence of mechanisms in the anterior cortex (including the epithelium) that reduce significantly the accumulation of fluorophor. Such distribution studies are invaluable in clarifying metabolic interrelationships among the different zones of the lens, including especially photochemical reactions postulated to involve the effect of daylight on the lens in human subjects.

Original languageEnglish
Pages (from-to)103-106
Number of pages4
JournalProceedings of the National Academy of Sciences of the United States of America
Volume85
Issue number1
DOIs
Publication statusPublished - Jan 1988
Externally publishedYes

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