Paper
4 January 1999 Can tumor cell suspension serve as an optical model of tumor tissue in situ?
Anna N. Yaroslavsky, Anja Vervoorts, Alexander V. Priezzhev, Ilya V. Yaroslavsky, Joerg G. Moser, Hans-Joachim Schwarzmaier M.D.
Author Affiliations +
Abstract
We determined and compared to the optical properties of five samples obtained from xenotransplanted chick embryos chorio- allantoic membrane tumors, five samples obtained from xenotransplanted chick embryos yolk sac membrane tumors, and five samples of concentrated tumor cells suspension (small cell lung carcinoma OAT 75). The absorption coefficient (mu) a, the scattering coefficient (mu) s, the anisotropy factor g, and the reduced scattering coefficient (mu) s' were evaluated in the spectral range from 600 nm to 900 nm with a step width of 10 nm from double integrating sphere measurements using an inverse Monte Carlo technique. The results have shown that the optical properties of the concentrated tumor cell suspension are similar to those of the chorio-allantoic membrane tumor, but are essentially different from the optical properties of the yolk sac membrane tumor. Cell vitality tests have shown that the cells were alive during and after the experiments. Therefore, the tumor cell suspension can serve as an optical model of the chorio-allantoic membrane tumor in situ for testing and developing novel diagnostic and therapeutic techniques.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anna N. Yaroslavsky, Anja Vervoorts, Alexander V. Priezzhev, Ilya V. Yaroslavsky, Joerg G. Moser, and Hans-Joachim Schwarzmaier M.D. "Can tumor cell suspension serve as an optical model of tumor tissue in situ?", Proc. SPIE 3565, Thermal Therapy, Laser Welding, and Tissue Interaction, (4 January 1999); https://doi.org/10.1117/12.335799
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Cited by 3 scholarly publications.
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KEYWORDS
Tumors

Tumor growth modeling

Optical properties

Scattering

Tissue optics

Integrating spheres

Monte Carlo methods

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