Measurements of the optical coefficients of the protoporphyrin IX endogenously producing yeast-based model in the visible and NIR

• Published in: Journal of biomedical optics Vol. 23; no. 7; p. 075001
• Main Authors: Joniová, Jaroslava, Kažiková, Veronika, Gerelli, Emmanuel, Bánó, Gregor, Wagnières, Georges
• Format: Journal Article
• Language: English
• Published: United States Society of Photo-Optical Instrumentation Engineers 01.07.2018
• Subjects: Aminolevulinic Acid - metabolism; Models, Biological; Monte Carlo Method; Phantoms, Imaging; Protoporphyrins - chemistry; Protoporphyrins - metabolism; Spectroscopy, Near-Infrared - methods; Yeasts - chemistry; Yeasts - metabolism; optical phantom; protoporphyrin IX; endogenous production; optical coefficients; 5-aminolevulinic acid; yeast
• ISSN: 1083-3668; 1560-2281
• DOI: 10.1117/1.JBO.23.7.075001

Models mimicking the endogenous production of protoporphyrin IX (PpIX), as well as its fluorescence, are of high interest for applied and fundamental studies in the fields of cancer detection by fluorescence imaging, photodynamic therapy (PDT), and photobiomodulation (PBM). Here, we present and describe optical properties of the yeast-based models able to produce PpIX endogenously after the administration of 5-aminolevulinic acid (ALA) and/or 2,2'-bipyridyl. As their optical properties have an important impact on the spatial distribution of the fluence rate in these liquid models, their absorption and reduced scattering coefficients were determined to be between 400 and 808 nm for two yeast solutions previously described by our group. These coefficients were derived from measurements of the total reflectance and light penetration depth using a dedicated Monte Carlo simulation. We observed that absorption and scattering coefficients were smaller than those of soft tissues at all wavelengths. This work will enable the production of a low-cost optical phantom loaded with appropriate amounts of light-absorbing and -scattering particles to mimic tumors containing PpIX, offering a useful tool to optimize the spectral and radiometric design of certain cancer photodetection setups.