Diagnostic value of nonlinear optical signals from collagen matrix in the detection of epithelial precancer.

Title Diagnostic value of nonlinear optical signals from collagen matrix in the detection of epithelial precancer

Multimodal nonlinear optical microscopy improves the accuracy of early diagnosis of squamous intraepithelial neoplasia.

We explore diagnostic utility of a multicolor excitation multimodal nonlinear optical (NLO) microscopy for noninvasive detection of squamous epithelial precancer in vivo. The 7,12-dimenthylbenz(a)anthracene treated hamster cheek pouch was used as an animal model of carcinogenesis. The NLO microscope system employed was equipped with the ability to collect multiple tissue endogenous NLO signals ...

A Novel Method for Detection of Epilepsy in Short and Noisy EEG Signals Using Ordinal Pattern Analysis

Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. Epilepsy is considered as a dynamical change in nonlinear and complex brain system. The ability of the proposed measure for characterizing the normal and epileptic EEG signals when the signal is short or is...

Light scattering from collagen fiber networks: micro-optical properties of normal and neoplastic stroma.

Development of epithelial precancer and cancer leads to well-documented molecular and structural changes in the epithelium. Recently, it has been recognized that stromal biology is also altered significantly with preinvasive disease. We used the finite-difference time-domain method, a popular technique in computational electromagnetics, to model light scattering from heterogeneous collagen fibe...

Design of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems

In this study, a novel fault detection scheme is developed for a class of nonlinear system in the presence of sensor noise. A nonlinear Takagi-Sugeno fuzzy model is implemented to create multiple models. While the T-S fuzzy model is used for only the nonlinear distribution matrix of the fault and measurement signals, a larger category of nonlinear systems is considered. Next, a mapping to decou...