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Cancer is an epidemic worldwide. At present one in four persons has cancerand this statistic will change to one in a two person in the near future. It isnow known that war against cancer is the early, curable detection andtreatment. Affordable, quick and easy detection methods are, therefore,essential. Standard pathologist way of detecting cancer is looking at thestained biopsy tissue samples under microscope, brings lots of human error. Atissue is a spatial heterogeneous medium and it has fractal properties due toits self-similarity in mass distribution. It is now known that with theprogress of cancer the tissue heterogeneity changes due to more massaccumulations and rearrangement of intracellular macromolecules such as DNA andlipids etc. Furthermore, there are tissue micro array (TMA) samples availablethat provides array of hundred samples in one glass slides. In this study,using reflectance microscopy we have analyzed the fractal dimension of 5{\mu}mcolon TMA samples to correctly distinguish between normal, adjacent to cancer,benign, stage-1 and stage-2 colon cancers. This fractal property of the tissuesis also supported by entropy and spatial correlation calculations. Theapplication of this method for diagnostic applications is also discussed.

Detection of Cancer Stages via Fractal Dimension Analysis of Optical Transmission Imaging of Tissue Micro Arrays (TMA)