Low-order statistical analysis of 1-D diffuse reflectance signals from cancer cells using 2-D scalogram images

The novelty of this study is seen in the efficient characterization of cancer cells through representation of 1-D backscattered signals from cancer cells using statistical analysis on 2-D scalogram images. The proposed approach allows one to obtain a rapid and accurate visualization of the frequency components associated with the backscattered signals; while enlightening the understanding and the physics of the diffuse reflectance light waves interactions with the lung cells, by performing texture characterization and pattern recognition analysis directly on the scalograms.