Tooth-caries early diagnosis and mapping by Fourier transform spectral imaging fluorescence

Michal Fisher, Liviu Feller, Israel Schechter*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


A new method for fast diagnosis and mapping of tooth caries is suggested. The method is based on autofluorescence and application of Fourier transform imaging microscopy. This device provides simultaneous fluorescence spectra at all pixels of the examined sample. A cooled CCD detector, directly connected to the spectrometer, collects the imaging interferograms and allows for spectral mapping. The feasibility of this method was evaluated by examining human teeth for caries detection. Images and the corresponding spectra were acquired at various tooth regions. It was found that a distinct spectral feature characterizes the carious regions. Spectral analysis allows for detection of even early stages of caries, while the associated mapping capability allows for morphological characterization. The spatial resolution depends on the specific optical setup used, and in our case it was ca. 1 μm. These findings suggest that this technique may be further developed and applied for clinical detection of initial and well established caries during oral examination and diagnosis.

Original languageEnglish
Pages (from-to)225-232
Number of pages8
JournalInstrumentation Science and Technology
Issue number2
StatePublished - May 2002
Externally publishedYes


Dive into the research topics of 'Tooth-caries early diagnosis and mapping by Fourier transform spectral imaging fluorescence'. Together they form a unique fingerprint.

Cite this