Abstract: Methods for improved imaging of internal tissue structures, such as lesions in the peritoneum, are disclosed employing color-weighted Polarization Enhanced Light (mPEL) imaging. A target tissue can be Illuminated with light of defined polarization at a plurality of wavelengths or wavelength bands. Scattered light from the tissue is collected and its polarization states analyzed and detected either via a polarization sensitive camera or a combination or polarizing filters and a standard camera. Light detected at distinct polarization states and colors is weighted by a factor and combined to yield an image that results in optimized visualization of lesions and/or discrimination of malignant from benign lesions. The factors may be identified based on a combination of Monte Carlo simulations and regression analysis to yield enhanced sensitivity to the tissue scattering power. Alternatively, the factors may be identified through machine learning based optimization algorithms to optimize tissue classification.