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Living Image 3.1

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G. Planar Spectral Imaging<br />

Figure G.1 Optical Properties of Mouse Tissue and Firefly Luciferase Spectra<br />

The bioluminescent signal from firefly luciferase (right) is emitted from wavelengths of 500-700 nm, which spans a region of<br />

the spectrum where there are major contrasts in the optical properties of mouse tissue (left). The firefly spectrum was<br />

measured at 37°C using PC3M cells.<br />

Diffusion Model of<br />

Light Propagation<br />

Through Tissue<br />

226<br />

Light propagating through tissue undergoes scattering and absorption. The diffusion<br />

model assumes that scattering is the predominant phenomenon and the reduced scattering<br />

coefficient µ' s >> absorption coefficient µ a. This is valid mostly for wavelengths in the red<br />

and near infrared part of the spectrum. The model also assumes that the light is produced<br />

by a single point source and that the tissues are optically homogeneous.<br />

Under these conditions, if we model the animal surface as flat and infinite in extent and<br />

integrate the light that is collected over the animal surface, the total integrated intensity<br />

I(λ) is reduced to a relatively simple expression:<br />

I(λ) = SK(λ) exp(-μ eff d) (1)<br />

where S is the absolute total photon flux emitted by the bioluminescent source and d is the<br />

source depth.<br />

The term µ eff is the effective attenuation coefficient. It is determined by the tissue<br />

coefficient of absorption (µ a ) and reduced scattering (µ' s ) that quantify the two main<br />

phenomena light undergoes in tissue.<br />

The function K(λ) is a more complex expression that is derived from the model and<br />

includes terms that describe the effect of the tissue-air boundary on the light propagation.<br />

Both µ eff and the function K are dependent on the wavelength, λ.<br />

Equation 1 shows that if the total integrated intensity (ROI measurement) is measured at<br />

several wavelengths, it is proportional to an exponential function of the product of the<br />

depth and the optical property, µ eff . Therefore, the steps to planar spectral image analysis<br />

include:<br />

• Acquire two or more images at different wavelengths.<br />

• Measure the total integrated intensity on each image.<br />

• Fit the measured values to the exponential function of Equation 1.

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