Suman Shrestha

Polarimetric phenomenology of photons with lung cancer tissue

The objective of this study is to explore the polarimetric phenomenology of light interaction with healthy and early-stage lung cancer tissue samples by applying efficient polarimetric backscattering detection techniques combined with polarimetric exploratory data analysis. Preliminary results indicate that enhanced discrimination signatures can be obtained for certain types of early-stage lung cancers based on their depolarization, backscattered intensity and retardance characteristics.

Integrative paradigms bridging defense and bioscience

The objective of the study is to present integrative paradigms highlighting their applicability of polarimetry to multidisciplinary areas such as space defense and bioscience applications. Polarimetric sensing and imaging offer unique advantages for a wide range of detection and classification problems due to the intrinsic potential for high contrast in different polarization components of the backscattered light. Indeed, polarized imaging can yield high-specificity images under high-dynamic range and extreme condition scenarios, in scattering media, or cluttered environments, offering at the same instance information related to the object material composition and its surface characteristics. In this study, a new imaging approach based on polarimetric detection principles will be introduced and the Mueller matrix formalism will be defined, and will be applied for space applications, such as detection of unresolved objects, as well as for early cancer detection. The design principles of the liquid crystal polarimetric imaging system will be introduced and related to operating conditions and system performance metrics. The depolarization, diattenuation, and retardance of the materials will be estimated using Mueller matrix decomposition for different aspect angles.

Infrared photon discrimination of lung cancer cells

The objective of this study is to explore the polarimetric phenomenology of near infrared light interaction with healthy and lung cancer monolayer cells by using efficient polarimetric transmission detection techniques. Preliminary results indicate that enhanced discrimination between normal and different types of lung cancer cell stages can be achieved based on their transmitted intensities and depolarization properties of the cells. Specifically, the sizes of the nuclei of the cancer cells and the nucleus-to-cytoplasmic ratios appear to have potential impact on the detected polarimetric signatures leading to enhanced discrimination of lung cancer cells.

Electro-Optical Polarimetric Imaging System for Characterization of Resident Space Objects

The design, calibration, and testing of an automated polarimetric imaging system aimed at developing efficient and reliable optical polarimetric characterization techniques of resident space objects, with emphasis on satellite space materials, are introduced. The presented electrooptical imaging polarimeter system exhibits a high degree of accuracy and repeatability. The system’s accuracy is investigated using test materials of well-known optical properties. The outcome of this study indicates that the operational design principles of the optical polarimetric system may prove extremely useful in characterizing remote manmade materials commonly used in space.

Polarimetric wavelet fractal remote sensing principles for space materials

A new remote sensing approach based on polarimetric wavelet fractal detection principles is introduced and the Mueller matrix formalism is defined, aimed at enhancing the detection, identification, characterization, and discrimination of unresolved space objects at different aspect angles. The design principles of a multifunctional liquid crystal monostatic polarimetric ladar are introduced and related to operating conditions and system performance metrics. Backscattered polarimetric signal contributions from different space materials were detected using a laboratory ladar testbed, and then analyzed using techniques based on wavelets and fractals. The depolarization, diattenuation, and retardance of the materials were estimated using Mueller matrix decomposition for different aspect angles. The outcome of this study indicates that polarimetric fractal wavelet principles may enhance the capabilities of the ladar to provide characterization and discrimination of unresolved space objects.

Design, Calibration, and Testing of an Automated Near-Infrared Liquid-Crystal Polarimetric Imaging System for Discrimination of Lung Cancer Cells

A newly developed tissue diagnostic method, based on label-free near-infrared (NIR) polarimetric reflectance imaging for the classification of histopathological samples of lung cancer cells, is presented. The design, calibration, and testing of an automated NIR polarimetric imaging system, with emphasis on lung cancer detection, are put forward in detail. The described electro-optical imaging polarimeter system exhibits high degree of accuracy and repeatability. The outcome of this paper indicates that the operational design principles of the NIR polarimetric system may be proved extremely useful in discrimination of label-free normal and lung cancer cell samples as well as differentiation of different lung cancer cells and stages in vitro.

Integrated quantitative fractal polarimetric analysis of monolayer lung cancer cells

Digital diagnostic pathology has become one of the most valuable and convenient advancements in technology over the past years. It allows us to acquire, store and analyze pathological information from the images of histological and immunohistochemical glass slides which are scanned to create digital slides. In this study, efficient fractal, wavelet-based polarimetric techniques for histological analysis of monolayer lung cancer cells will be introduced and different monolayer cancer lines will be studied. The outcome of this study indicates that application of fractal, wavelet polarimetric principles towards the analysis of squamous carcinoma and adenocarcinoma cancer cell lines may be proved extremely useful in discriminating among healthy and lung cancer cells as well as differentiating among different lung cancer cells.

Statistical analysis on polarimetric study of lung cancer cells

The objective of this study is the discrimination and characterization of different lung cancer monoline cells using statistical analysis of polarimetric backscattered signals. The main aspect of this study is the use of the Welchs t-test and the p-value statistics as a representative metric for discriminating distributions based on their mean and standard deviation. The outcome of this study indicates that enhanced discrimination of lung cancer samples can be obtained based on their t-test values between different cancer samples for different geometries.

An automated ladar polarimetric system for remote characterization of space materials

The calibration, testing, and operational principles of an efficient multifunctional monostatic polarimetric ladar are introduced and related to the system performance metrics. The depolarization, diattenuation, and retardance of the materials were estimated using Mueller matrix (MM) decomposition for different aspect angles. The outcome of this study indicates that polarimetric principles may enhance the capabilities of the ladar to provide adequate characterization and discrimination of unresolved space objects.

Polarimetric Characterization of Unresolved Space Objects

This paper introduces a new remote sensing technique based on polarimetric detection principles, aimed at enhancing the identification, characterization, and discrimination of unresolved space objects like amorphous silicon, polysilicon, Mylar, and Kapton. Some of the polarimetric measurements performed at different angles of incidence (object angular rotations) such as diattenuation, depolarization and retardance matrices of these space objects are presented using backscattered polarimetric signals obtained with a polarimetric system (test bed). The depolarization index profile with changing angle of incidence for these samples is approximated by an inverted Gaussian function. Depolarization is minimum for specular reflection and increases asymptotically in a Gaussian fashion as the angles of incidence and scatter increase. Parameters of the Gaussian profiles fitted to the depolarization data are used to compare samples. The results show that the shape of depolarization profile for one object (Mylar) is ...