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Conference on Practical Holography XXIX - Materials and Applications

作者： Ozcan, Meric Sabanci Univ Elect Engn TR-34956 Istanbul Turkey

ISBN: (纸本)9781628414769

Here we consider a derivative based method for phase recovery and demonstrate a numerical method that can be described as differentiate and cross multiply operation to obtain the phase gradient. This method uses quadrature phase data that is in sine and cosine form, which is a natural outcome many interferometric measurements including that of digital holographic reconstruction. Since the differentiation is performed on trigonometric functions which are discrete, it is shown that the method of differentiation and the sampling rate are important considerations especially for the noise corrupt signals. The method is initially developed for ID phase signals, and then later extended to 2D. Noise performance of the method is also investigated, and it is shown that for extremely noisy signals the method can be adapted to an iteration routine which recovers the phase successfully. We present simulations and the experimental results which show the validity of the approach.

关键词： Interference (communication) Signal processing Digital holography Holography algorithm development Holograms Holographic interferometry Microscopes Error analysis Phase measurement

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Pi of the Sky preparations for LSC-Virgo's Electromagnetic Follow-up project

Pi of the Sky preparations for LSC-Virgo's Electromagnetic F...

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Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments

作者： Zadrozny, Adam Sokolowski, Marcin Majcher, Ariel Opiela, Rafal Obara, Lukasz Natl Ctr Nucl Res Otwock Poland Curtin Univ Int Ctr Radio Astron Res Perth WA 6845 Australia ARC Ctr Excellence All Sky Astrophys CAASTRO Canberra ACT Australia Polish Acad Sci Ctr Theoret Phys Warsaw Poland Univ Warsaw Fac Phys Warsaw Poland

ISBN: (纸本)9781628418804

The presentation focuses on plans of the Pi of the Sky collaboration to participate in the future LSC*-Virgo's Electromagnetic (EM) Follow-up campaigns. Pi of the Sky telescope participated in the first "EM Follow-up project", called Looc-Up,(1-3) 2009-2010 organized by LSC-Virgo collaboration. Pi of the Sky brought to the project an instrument with the biggest field of view and with a very high time resolution. Recently Pi of the Sky has signed an Memorandum of Understanding (MOU) with LSC-Virgo for EM Follow-up observations in the Advanced Detector Era (ADE). Plans of the Pi of the Sky telescope for joint observations with advanced LIGO and Virgo detectors will be also outlined.

关键词： Sensors Telescopes LIGO Electromagnetism Astronomy Galactic astronomy algorithm development Observatories Physics Satellites

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Improved VIIRS offset correction during lunar intrusion into space view 20

Improved VIIRS offset correction during lunar intrusion into...

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Conference on Earth Observing Systems XX

作者： Isaacson, Peter J. DeLuccia, Frank J. Moy, Gabriel Vandermierden, Nicholas R. Aerosp Corp El Segundo CA 90245 USA

ISBN: (纸本)9781628417739

The VIIRS radiometric calibration approach relies on views of space above the earth limb to estimate a "zero offset" which is subtracted from the other instrument views (earth, solar diffuser, on board black body). This zero offset estimation is compromised when the Moon lies within the space view. The current calibration approach has a conservative method to determine when the space view is contaminated or potentially contaminated by the Moon. We outline a new approach to detecting lunar contamination, and for estimating the zero offset for contaminated scans. Our approach offers the potential to greatly reduce the number of scans classified as lunar contaminated and thus of lower quality due to the alternate calibration process used in the current operational approach. Thus, such an alternative approach could increase the number of nominal, high quality VIIRS scans available for science analyses.

关键词： VIIRS Calibration Radiometry algorithm development Background Radiance Dark Current SUOMI NPP

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Structure Preserving Color Deconvolution for Immunohistochemistry Images

Structure Preserving Color Deconvolution for Immunohistochem...

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Conference on Medical Imaging - Digital Pathology

作者： Chen, Ting Srinivas, Chukka Ventana Med Syst Inc Mountain View CA 94043 USA

ISBN: (纸本)9781628415100

Immunohistochemistry (IHC) staining is an important technique for the detection of one or more biomarkers within a single tissue section. In digital pathology applications, the correct unmixing of the tissue image into its individual constituent dyes for each biomarker is a prerequisite for accurate detection and identification of the underlying cellular structures. A popular technique thus far is the color deconvolution method1 proposed by Ruifrok et al. However, Ruifrok's method independently estimates the individual dye contributions at each pixel which potentially leads to holes and cracks in the cells in the unmixed images. This is clearly inadequate since strong spatial dependencies exist in the tissue images which contain rich cellular structures. In this paper, we formulate the unmixing algorithm into a least-square framework of image patches, and propose a novel color deconvolution method which explicitly incorporates the spatial smoothness and structure continuity constraint into a neighborhood graph regularizer. An analytical closed-form solution to the cost function is derived for this algorithm for fast implementation. The algorithm is evaluated on a clinical data set containing a number of 3,3-Diaminobenzidine (DAB) and hematoxylin (HTX) stained IHC slides and demonstrates better unmixing results than the existing strategy.

关键词： Deconvolution Tissues Absorbance RGB color model Pathology algorithm development Astronomical imaging Evolutionary algorithms Cancer Medical imaging

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An algorithm for Segmenting Polarimetric SAR Imagery 19

An Algorithm for Segmenting Polarimetric SAR Imagery

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Conference on Radar Sensor Technology XIX;and Active and Passive Signatures VI

作者： Geaga, Jorge V. Consultant (United States)

ISBN: (纸本)9781628415773

We have developed an algorithm for segmenting fully polarimetric single look TerraSAR-X, multilook SIR-C and 7 band Landsat 5 imagery using neural nets. The algorithm uses a feedforward neural net with one hidden layer to segment different surface classes. The weights are refined through an iterative filtering process characteristic of a relaxation process. Features selected from studies of fully polarimetric complex single look TerraSAR-X data and multilook SIR-C data are used as input to the net. The seven bands from Landsat 5 data are used as input for the Landsat neural net. The Cloude-Pottier incoherent decomposition is used to investigate the physical basis of the polarimetric SAR data segmentation. The segmentation of a SIR-C ocean surface scene into four classes is presented. This segmentation algorithm could be a very useful tool for investigating complex polarimetric SAR phenomena.

关键词： Image segmentation Polarimetry L band Neural networks Scattering Synthetic aperture radar Earth observing sensors Landsat algorithm development Polarization

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Multispectral imaging burn wound tissue classification system: a comparison of test accuracies between several common machine learning algorithms

Multispectral imaging burn wound tissue classification syste...

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Conference on Medical Imaging - Computer-Aided Diagnosis

作者： Squiers, John J. Li, Weizhi King, Darlene R. Mo, Weirong Zhang, Xu Lu, Yang Sellke, Eric W. Fan, Wensheng DiMaio, J. Michael Thatcher, Jeffery E. Spectral MD Inc 2515 McKinney Ave Suite 1000 Dallas TX 75201 USA Baylor Scott & White Hlth Syst Baylor Res Inst Dallas TX USA

ISBN: (纸本)9781510600201

The clinical judgment of expert burn surgeons is currently the standard on which diagnostic and therapeutic decision-making regarding burn injuries is based. Multispectral imaging (MSI) has the potential to increase the accuracy of burn depth assessment and the intraoperative identification of viable wound bed during surgical debridement of burn injuries. A highly accurate classification model must be developed using machine-learning techniques in order to translate MSI data into clinically-relevant information. An animal burn model was developed to build an MSI training database and to study the burn tissue classification ability of several models trained via common machine-learning algorithms. The algorithms tested, from least to most complex, were: K-nearest neighbors (KNN), decision tree (DT), linear discriminant analysis (LDA), weighted linear discriminant analysis (W-LDA), quadratic discriminant analysis (QDA), ensemble linear discriminant analysis (EN-LDA), ensemble K-nearest neighbors (EN-KNN), and ensemble decision tree (EN-DT). After the ground-truth database of six tissue types (healthy skin, wound bed, blood, hyperemia, partial injury, full injury) was generated by histopathological analysis, we used 10-fold cross validation to compare the algorithms' performances based on their accuracies in classifying data against the ground truth, and each algorithm was tested 100 times. The mean test accuracy of the algorithms were KNN 68.3%, DT 61.5%, LDA 70.5%, W-LDA 68.1%, QDA 68.9%, EN-LDA 56.8%, EN-KNN 49.7%, and EN-DT 36.5%. LDA had the highest test accuracy, reflecting the bias-variance tradeoff over the range of complexities inherent to the algorithms tested. Several algorithms were able to match the current standard in burn tissue classification, the clinical judgment of expert burn surgeons. These results will guide further development of an MSI burn tissue classification system. Given that there are few surgeons and facilities specializing in burn care, t

关键词： machine learning multispectral imaging algorithm development burns tissue classification

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Non-contact Quantitative Diffuse Reflectance Spectroscopy 5

Non-contact Quantitative Diffuse Reflectance Spectroscopy

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Conference on Diffuse Optical Imaging V

作者： Sorgato, Veronica Berger, Michel Emain, Charlotte Koenig, Anne Roig, Blandine Vever-Bizet, Christine Dinten, Jean-Marc Bourg-Heckly, Genevieve Planat-Chretien, Anne CEA LETI F-38054 Grenoble 9 France Univ Paris 06 Lab Jean Perrin UMR8237 F-75005 Paris France CNRS UMR8237 Lab Jean Perrin F-75005 Paris France

ISBN: (纸本)9781628417036

We validate a non-contact Diffuse Reflectance Spectroscopy (DRS) system as a first stage to approach quantitative multi-spectral imaging technique. The non-contact DRS system with separated illumination and detection paths was developed with different progressive set-ups which were all compared to a well-founded contact DRS system. While quantitation of the absorption coefficient is well achieved with the existing method, the calculation of the scattering coefficient is deteriorated by the non-contact architecture measurements. We have therefore developed an adaptive reference-based algorithm to compensate for this effect.

关键词： Optical properties algorithm development Monte Carlo methods Imaging systems Signal detection Optical transfer functions Absorption Electroluminescent displays Scattering Spectroscopy

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development of a Quasi 2-D Modeling of Tubular Solid-Oxide Fuel Cell for Real-Time Control

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IEEE TRANSACTIONS ON ENERGY CONVERSION 2014年第1期29卷 9-19页

作者： Gao, Fei Simoes, Marcelo Godoy Blunier, Benjamin Miraoui, Abdellatif Univ Technol Belfort Montbeliard F-90010 Belfort France Colorado Sch Mines Golden CO 80401 USA

This paper presents the modeling approach for a quasi-2-D tubular anode-supported solid-oxide fuel cell (SOFC) for real-time control implementation. The proposed system considers a multidomain electrochemical, fluidic, and thermal dynamic modeling and it is experimentally validated against a SOFC real world implementation. Implicit iterative algebraic equations have been introduced and implemented in C language in order to have fast real-time execution. The methodology for implementing such an iterative solver is discussed in details and the results demonstrate practical feasibilities in advancing real-time control of SOFC

关键词： algorithm development control modeling real-time solid-oxide fuel cell (SOFC)

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An algorithm to predict the connectome of neural microcircuits

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FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2015年第OCT期9卷 120页

作者： Reimann, Michael W. King, James G. Muller, Eilif B. Ramaswamy, Srikanth Markram, Henry Ecole Polytech Fed Lausanne Blue Brain Project CH-1202 Geneva Switzerland

Experimentally mapping synaptic connections, in terms of the numbers and locations of their synapses and estimating connection probabilities, is still not a tractable task, even for small volumes of tissue. In fact, the six layers of the neocortex contain thousands of unique types of synaptic connections between the many different types of neurons, of which only a handful have been characterized experimentally. Here we present a theoretical framework and a data-driven algorithmic strategy to digitally reconstruct the complete synaptic connectivity between the different types of neurons in a small well-defined volume of tissue the micro scale connectome of a neural microcircuit. By enforcing a set of established principles of synaptic connectivity, and leveraging interdependencies between fundamental properties of neural microcircuits to constrain the reconstructed connectivity, the algorithm yields three parameters per connection type that predict the anatomy of all types of biologically viable synaptic connections. The predictions reproduce a spectrum of experimental data on synaptic connectivity not used by the algorithm. We conclude that an algorithmic approach to the connectome can serve as a tool to accelerate experimental mapping, indicating the minimal dataset required to make useful predictions, identifying the datasets required to improve their accuracy, testing the feasibility of experimental measurements, and making it possible to test hypotheses of synaptic connectivity.

关键词： neocortex algorithm development connectome mapping synaptic transmission in silico somatosensory cortex cortical circuits

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An algorithm based on sea-level pressure fluctuations to identify major Baltic inflow events

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Tellus A: Dynamic Meteorology and Oceanography 2016年第S2期68卷 Article: 23452页

Major Baltic inflows are an important process to sustain the sensitive steady state of the Baltic Sea. We introduce an algorithm to identify atmospheric variability favourable for major Baltic inflows. The algorithm is based on sea-level pressure (SLP) fields as the only parameter. Characteristic SLP pattern fluctuations include a precursory phase of 30 days and 10 days of inflow period. The algorithm identifies successfully the majority of observed major Baltic inflows between 1961 and 2010. In addition, the algorithm finds some occurrences which cannot be related to observed inflows. In these cases with favourable atmospheric conditions, inflows were precluded by contemporaneously existing saline water masses or strong freshwater supply. Moreover, the algorithm clearly identifies the stagnation periods as a lack of SLP variability favourable for MBIs. This indicates that the lack of inflows is mainly a consequence of missing atmospheric forcing during this period. The only striking inflow which is not identified by the algorithm is the event in January 2003. We demonstrate that this is due to the special evolution of SLP fields which are not comparable with any other event. Finally, the algorithm is applied to an ensemble of scenario simulations. The result indicates that the number of atmospheric events favourable for major Baltic inflows increases slightly in all scenarios.

关键词： major Baltic inflows algorithm development SLP variability Baltic Sea climate modeling

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