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 

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

The article discusses the use of modern imaging polarimetry from the visible range of the spectrum to the far infrared. The paper presents the analyzes the potential for imaging polarimetry in the far infrared for remote sensing applications. In article a description of measurement stand is presented for examination of polarization state in LWIR. The stand consists of: infrared detector array with electronic circuitry, polarizer plate and software enabling detection method. The article also describes first results of measurements in presented test bed. Based on these measurements it was possible to calculate some of the Stokes parameters of radiation from the scene. The analysis of the measurement results show that the measurement of polarization state can be used to detect certain types of objects. Measuring the degree of polarization may allow for the detection of objects on an infrared image, which are not detectable by other techniques, and in other spectral ranges. In order to at least partially characterize the polarization state of the scene it is required to measure radiation intensity in different configurations of the polarizing filter. Due to additional filtering elements in optical path of the camera, the NETD parameter of the camera with polarizer in proposed measurement stand was equal to about 240mK. In order to visualize the polarization characteristics of objects in the infrared image, a method of imaging measurement results imposing them on the thermal image. Imaging of measurement results of radiation polarization is made by adding color and saturation to black and white thermal image where brightness corresponds to the intensity of infrared radiation.

Polarization state imaging in long-wave infrared for object detection

The principles of a novel neuromorphic spike event-based polarimetric Dynamic Vision Sensor (DVS), mimicking the biological retina, for dynamic imaging of a scene aimed at increased temporal contrast, are introduced. A novel dynamic segmentation of moving objects was performed using a neuromorphic camera paired with a linear polarizingfilter. High-temporal contrast images were acquired and their local spatial-temporal content was further analyzed using wavelet decomposition. The outcome of the proposed technique clearly indicates that neuromorphic imaging coupled with polarimetric principles can identify and discriminate structures of different origin.

Dynamic segmentation using a novel neuromorphic polarimetric imaging system

In this study, key-characteristics of different bioinspired vision systems are presented, and their importance in the design of autonomous navigation systems is highlighted. Two paradigms reflecting authors' research efforts in the design of vision systems, mimicking the human and animal retina, are presented. The first paradigm relates to the development of novel polymer nanostructures and nanoantennas aimed at integrating polarization principles with CMOS designs, mimicking bioinspired retina systems. The second paradigm relates to the development and testing of a novel neuromorphic spike event-based polarimetric Dynamic Vision Sensor (DVS), for dynamic imaging of a scene, with enhanced temporal contrast and high object discrimination. The outcome of this study indicates that integration of several bioinspired vision principles, such as polarization of light and neuromorphic detection, play an important role in the design of innovative bioinspired nanomaterials and neuromorphic vision architectures.

Integration of Bioinspired Vision Principles Towards the Design of Autonomous Guidance, Navigation, and Control Systems

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.

Infrared photon discrimination of lung cancer cells

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.

Polarimetric phenomenology of photons with lung cancer tissue

The objective of this study is to explore the phenomenology of near infrared (NIR) light interaction with healthy and early-lung cancer by combining efficient polarimetric backscattering detection techniques with Polarimetric Exploratory Data Analysis (pEDA). Preliminary results indicate that enhanced discrimination signatures can be obtained for certain types of lung cancers.

Near infrared light interaction with lung cancer cells

The unique functional characteristics of nanostructured material are stemming mainly from a large surface-to-volume-ratio and on quantum effects; can yield numerous potential space defense applications. The objective of this study is to explore the polarimetric characterization of polymer nanomaterials, using Mueller matrix and Stokes parameters analysis. Specifically, gold nanoparticles were dispersed within a matrix of two-different polymer domains and their polarimetric response to infrared light was studied.

Polymer nanostructure materials for space defense applications

In this study, backscattering optical measurements from this scattering media and biological tissue were performed using different polarimetric detection techniques. The outcome of this study may facilitate the early diagnosis, monitoring, and assessment of disease progress, with high sensitivity and specificity.

Backscattered polarimetric detection from biological tissue

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Polarimetric phenomenology of photons with lung cancer tissue

Near infrared light interaction with lung cancer cells

Polymer nanostructure materials for space defense applications

Backscattered polarimetric detection from biological tissue