Three Steps to Quantitative Data

STEP 1: FMT Data Generation

			Raster scan laser light to measure absorption profiles
			Raster scan laser light to measure corresponding fluorescence profiles
			Generate paired absorption and fluorescence data maps from 10,000 -100,000 source-detector projections

STEP 2: FMT Normalization

			Process all paired Absorption and Fluorescence acquisition data to generate normalized fluorescence measurements
			Feed normalized data into FMT algorithmic models of photon transport in tissue

About algorithmic models

Living tissue is heterogeneous and does not exhibit uniform optical properties - a solid tumor, an air-filled lung or a heart all have different absorption and scattering properties. Unlike conventional planar imaging systems, FMT 2500 minimizes the distorting effects of tissue heterogeneity, taking into account surface boundaries, tissue spectral characteristics and wave-guiding effects, to correct and normalize each fluorescent measurement.

STEP 3: FMT Reconstruction

			Generate fluorescence quantification at each point in the subject
			Calculate fluorescence measurements throughout Regions of Interest
			Feed data into readily compatible universal formats for analysis, data base building, and decision-making

Generate accurate, quantitative data

Mouse asthma model
Fluorescence agent: ProSense (cathepsin B activity)

			Quantify disease levels and therapeutic response
			Use reflectance mode for baseline comparison
			Use Quantitative Tomography mode for 3D image and quantification