Application de la factorisation en matrices non-négatives à l'élimination de l'autofluorescence des tissus biologiques
Résumé
Fluorescent imaging in diffusive media is an emerging modality for medical applications. Here, we use spectrally resolved measurements in order to separate several fluorescence sources. As we want to examine deep (4 cm) fluorophores for human applications, a very weak optical signal is measured and any interference to it may limit the sensitivity of the system. It is thus useful to filter any parasite signal, such as the intrinsic biological tissues fluorescence, called autofluorescence, which mixes with the fluorophore-specific signal. A spectroscopic approach, based on the Non-negative Matrix Factorization (NMF) method, is explored to unmix overlapping spectra and thus isolate the specific fluorescence signals from the autofluorescence signal. This blind source separation method treats specific fluorescence and autofluorescence as different sources to separate; it only needs initial spectra, updated over iterations thanks to regularized multiplicative update rules. Fluorescence contributions of intrinsic fluorescence and specific fluorescence have been satisfactorily isolated on experimental data.
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