Early pre-cancerous conditions in tissue can be studied as mixture of cancerous and healthy cells. White light
spectroscopy is a promising technique for determining the size of scattering elements, which, in cells are the nuclei.
However, in a mixture of different sized scatterers, possibly between healthy and cancerous cells, the white light
spectroscopy spatial data is not easily analyzed, making it difficult to determine the individual components that comprise
the mixture. We have previously found by obtaining spatial limited data by using an optical filter and converting this
spatial data into the Fourier domain, we can determine characteristic signature frequencies for individual scatterers. In
this paper, we show analysis of phantom tissues representing esophagus tissue. We examine phantom tissue representing
pre-cancerous conditions, when some of the cell nuclei increase in size. We also experimentally show a relationship
between the particle concentration and the amplitude of the Fourier signature peak. In addition, we discuss the frequency
peak amplitude dependency based on the Tyndall Effect, which describes particles aggregating into clusters.