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Dive into the research topics where Jeff Petermann is active.

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Featured researches published by Jeff Petermann.


Measurement Science and Technology | 2011

Polarimetric phenomenology of photons with lung cancer tissue

George C. Giakos; Stefanie Marotta; Chaya Narayan; Jeff Petermann; Suman Shrestha; J Baluch; D. Pingili; Daniel B. Sheffer; L. Zhang; M. Zervakis; George Livanos; M.G. Kounelakis

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.


Proceedings of SPIE | 2013

Integrative paradigms bridging defense and bioscience

Suman Shrestha; George C. Giakos; Aditi Deshpande; T. Quang; Chaya Narayan; Tannaz Farrahi; Y. Li; Jeff Petermann; A. Blinzler; Stefanie Marotta

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.


international conference on imaging systems and techniques | 2012

Infrared photon discrimination of lung cancer cells

George C. Giakos; Suman Shrestha; Jeff Petermann; Chaya Narayan; Stefanie Marotta; A. Despande; J. Syms; Tannaz Farrahi; A. Blinzler; Richard H. Picard; Willa Inbody; Phan D. Dao; Peter N. Crabtree; Patrick J. McNicholl; L. Zhang; A. Zhou; M. Zervakis; M.G. Kounelakis; E.S. Bei; George Livanos

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.


instrumentation and measurement technology conference | 2011

Near infrared light interaction with lung cancer cells

George C. Giakos; Stefanie Marotta; Chaya Narayan; Jeff Petermann; S. Sestra; D. Pingili; S. A. Tsokaktsidis; Daniel B. Sheffer; W. Xu; M. Zervakis; George Livanos; M.G. Kounelakis

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.


Journal of Spacecraft and Rockets | 2015

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

George C. Giakos; Suman Shrestha; Tannaz Farrahi; Jeff Petermann; Aditi Deshpande; Doug Godsoe; Evi Voudouri

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.


Proceedings of SPIE | 2012

Polarimetric wavelet fractal remote sensing principles for space materials

George C. Giakos; Richard H. Picard; Phan D. Dao; Peter N. Crabtree; Patrick J. McNicholl; Jeff Petermann; Suman Shrestha; Chaya Narayan; Stefanie Marotta

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.


IEEE Transactions on Instrumentation and Measurement | 2015

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

Suman Shrestha; Jeff Petermann; Tannaz Farrahi; Aditi Deshpande; George Giakos

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.


international conference on imaging systems and techniques | 2012

An automated ladar polarimetric system for remote characterization of space materials

George C. Giakos; Richard H. Picard; Willa Inbody; Phan D. Dao; Peter N. Crabtree; Patrick J. McNicholl; Jeff Petermann; Suman Shrestha; Chaya Narayan; Stefanie Marotta

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.


international conference on imaging systems and techniques | 2010

Backscattered polarimetric detection from biological tissue

George C. Giakos; Stefanie Marotta; K. Ambadipudi; K. Valluru; Jeff Petermann; Chaya Narayan; D. Natarajamani; D. Pingili; Daniel B. Sheffer; M.G. Kounelakis; George Livanos; M. Zervakis

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.


Archive | 2012

Design of a Fully Automated Polarimetric Imaging System for Remote Characterization of Space Materials

Jeff Petermann

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Patrick J. McNicholl

Air Force Research Laboratory

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Peter N. Crabtree

Air Force Research Laboratory

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Phan D. Dao

Air Force Research Laboratory

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Richard H. Picard

Air Force Research Laboratory

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George Livanos

Technical University of Crete

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