Characterization of natural fluorescence in mice

Salim Djeziri; Guobin Ma; Niculae Mincu; Anader Benyamin Seeyar; Mario Khayat

doi:10.1117/12.763263

20 February 2008 Characterization of natural fluorescence in mice

Salim Djeziri, Guobin Ma, Niculae Mincu, Anader Benyamin Seeyar, Mario Khayat

Proceedings Volume 6850, Multimodal Biomedical Imaging III; 685005 (2008) https://doi.org/10.1117/12.763263
Event: SPIE BiOS, 2008, San Jose, California, United States

Abstract

One important challenge for in-vivo imaging fluorescence in cancer research and related pharmaceutical studies is to discriminate the exogenous fluorescence signal of the specific tagged agents from the natural fluorescence. For mice, natural fluorescence is composed of endogenous fluorescence from organs like the skin, the bladder, etc. and from ingested food. The discrimination between the two kinds of fluorescence makes easy monitoring the targeted tissues. Generally, the amplitude of the fluorescence signal depends on the location and on the amount of injected fluorophore, which is limited in in-vivo experiments. This paper exposes some results of natural fluorescence analysis from in-vivo mice experiments using a time domain small animal fluorescence imaging system: eXplore Optix^TM. Fluorescence signals are expressed by a Time Point Spread Function (TPSF) at each scan point. The study uses measures of similarity applied purposely to the TPSF to evaluate the discrepancy and/or the homogeneity of scanned regions of a mouse. These measures allow a classification scheme to be performed on the TPSF's based on their temporal shapes. The work ends by showing how the exogenous fluorescence can be distinguished from natural fluorescence by using the TPSF temporal shape.

Citation Download Citation

Salim Djeziri, Guobin Ma, Niculae Mincu, Anader Benyamin Seeyar, and Mario Khayat "Characterization of natural fluorescence in mice", Proc. SPIE 6850, Multimodal Biomedical Imaging III, 685005 (20 February 2008); https://doi.org/10.1117/12.763263

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KEYWORDS

Luminescence

Data modeling

In vivo imaging

Error analysis

Image classification

Solids

Tantalum

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