Relevant bibliographies by topics / Contact imaging

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Contact imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Contact imaging"

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Smith, D. P. E., G. Binnig, and C. F. Quate. "Atomic point‐contact imaging." Applied Physics Letters 49, no. 18 (November 3, 1986): 1166–68. http://dx.doi.org/10.1063/1.97403.

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Sokolov, I. Yu, G. S. Henderson, and F. J. Wicks. "Pseudo-non-contact AFM imaging?" Applied Surface Science 140, no. 3-4 (February 1999): 362–65. http://dx.doi.org/10.1016/s0169-4332(98)00555-8.

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Ji, Honghao, David Sander, Alfred Haas, and Pamela A. Abshire. "Contact Imaging: Simulation and Experiment." IEEE Transactions on Circuits and Systems I: Regular Papers 54, no. 8 (August 2007): 1698–710. http://dx.doi.org/10.1109/tcsi.2007.902409.

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Morita, Seizo, Satoru Fujisawa, Eigo Kishi, Masahiro Ohta, Hitoshi Ueyama, and Yasuhiro Sugawara. "Contact and non-contact mode imaging by atomic force microscopy." Thin Solid Films 273, no. 1-2 (February 1996): 138–42. http://dx.doi.org/10.1016/0040-6090(95)06806-6.

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Dieterich, James H., and Brian D. Kilgore. "Imaging surface contacts: power law contact distributions and contact stresses in quartz, calcite, glass and acrylic plastic." Tectonophysics 256, no. 1-4 (May 1996): 219–39. http://dx.doi.org/10.1016/0040-1951(95)00165-4.

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Hosseinaee, Zohreh, Martin Le, Kevan Bell, and Parsin Haji Reza. "Towards non-contact photoacoustic imaging [review]." Photoacoustics 20 (December 2020): 100207. http://dx.doi.org/10.1016/j.pacs.2020.100207.

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Feder, R., and V. Mayne-Banton. "X-Ray Contact Imaging: the Technique." Proceedings, annual meeting, Electron Microscopy Society of America 43 (August 1985): 596–99. http://dx.doi.org/10.1017/s0424820100119764.

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Until recently, instruments used to image small biological objects directly have involved the use of light microscopy or electron microscopy. Presently, the use of x-rays has emerged as another probe to investigate details in biological specimens. X-rays can be used either by using an x-ray “lens”, which will be discussed by others at this symposium or by a direct contact “print” of the object on a special emulsion. This latter method is what will be discussed in this paper.The object to be ‘photographed’ is prepared on a substrate and then placed in contact with a resist such as poly- methyl-methacrylate (PMMA). This polymer has the property that when it is exposed to x-rays and then placed in a solution of methyl isobutyl ketone (MIBK) it will 'develop’ depending on the number of x-ray photons absorbed in the PMMA. This three dimensional relief structure is actually a photon density map of the specimen.
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Morris, Jonathan C. "Imaging microstructural contact damage in silicon." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 1144–45. http://dx.doi.org/10.1017/s0424820100151556.

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The indentation of single crystal silicon has been shown to produce a metal to semiconducting structural phase transformation. This phase transformation dominates the effect of contact damage from both indentation and scratching at low loads and hence affects the results of related mechanical tests. We are examining the microstructure of contact damage in silicon in order to understand better the mechanisms which control its low-load mechanical and tribological behavior. Extensive transmission electron microscopy (TEM) as well as scanning electron microscopy (SEM) have been used to characterize both morphological and structural changes brought about by contact damage.The plan-view bright field image in Figure 1 exhibits strong crystallographic contrast outside of the indented area. The indented area as well as the extrusions emanating from it are amorphous as evidenced by their lack of crystallographic contrast regardless of tilt as well as their diffuse illumination in dark field. Small bits of fragmented polycrystalline silicon are visible at the indentation borders as well as at the tip of one extrusion.
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Panthi, Shyam, and Jason J. Nichols. "Imaging Approaches for Contact Lens Deposition." Eye & Contact Lens: Science & Clinical Practice 43, no. 4 (July 2017): 205–12. http://dx.doi.org/10.1097/icl.0000000000000302.

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Amran, Azura, Nor Kamilah Saat, Nizam Tamchek, and Lee Mon Ting. "Photothermal Imaging using Non-Contact Photopyroelectric Method." Sains Malaysiana 49, no. 5 (May 31, 2020): 1129–36. http://dx.doi.org/10.17576/jsm-2020-4905-18.

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Dissertations / Theses on the topic "Contact imaging"

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Daivasagaya, Daisy. "CMOS contact and phase imaging of biochemical sensor microarray." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=117067.

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In this Thesis, we present two systems for gaseous oxygen (O2) sensing. First, we describe a compact luminescent sensor microsystem that is based on the direct integration of sensor elements with a polymeric optical filter and placed on a low power Complementary Metal-Oxide Semiconductor (CMOS) imager Integrated Circuit (IC). The second system is a hand-held scale phase fluorometric system. This system is based on a new single-chip integrated circuit that can perform the activities of sinusoidal signal generation using Direct Digital Synthesis and phase angle extraction of the detection luminescence signal from the sensor films using Discrete Fourier Transform. For O2 sensing, the sensors operate on the measurement of excited-state emission intensity of O2-sensitive luminophores tris(4,7-diphenyl-1,10- phenanthroline) ruthenium(II) ([Ru(dpp)3]2+) encapsulated in sol-gel derived xerogel thin-films. For the compact luminescent sensor microsystem, we incorporate a polymeric optical filter that is made with polydimethylsiloxane (PDMS) that is mixed with color die Sudan-II. The surface of the PDMS filter is molded to incorporate arrays of pyramidal microstructures that serve to focus the optical sensor signals on to the photodetectors. The xerogel sensor arrays are contact printed on top of the PDMS pyramidal lens-like microstructures. The CMOS imager uses a 32x32 (1024 elements) array of active pixel sensors and each pixel includes a high-gain phototransistor to convert the detected optical signals into electrical currents. Correlated double sampling circuit, pixel address, digital control and signal integration circuits are also implemented on-chip. The CMOS imager data is read out as a serial coded signal. The developed CMOS sensor microsystems provide a useful platform for the development of miniaturized, analytically reliable, and accurate optical chemical gaseous and aqueous sensors.
Dans cette thèse, nous présentons deux systèmes pour détecter l'oxygène gazeux (O2). Tout d'abord, nous décrivons un microsystème compact à senseur luminescent qui est basée sur l'intégration directe d'éléments de senseur avec un filtre optique polymère qui est placé sur un imageur circuits intégrés (CI) à faible énergie de type Complementary metal oxide semi-conductor (CMOS). Le second système est un système portatif qui permet de détecter la différence de phase fluorométrique. Ce système est basé sur un circuit intégré à puce unique qui permet de générer des signaux sinusoïdal en utilisant la synthèse directe de signaux digitaux et l'extraction de l'angle de phase du signal luminescent, provenant des films du senseur, en utilisant des transformées de Fourier discrète sur ce signal. Pour la détection du dioxygène, les senseurs mesure l'intensité d'émission des luminophores tris (4,7-diphényl-1, 10 - phénanthroline) ruthénium (II) ([Ru(dpp)3]2+) à l'état excité encapsulés dans des sol-gel provenant de micro film xérogel. Le microsystème compact à senseur luminescent comprend un filtre optique polymère à base de polydiméthylsiloxane (PDMS), qui est mélangée avec le colorant Soudan-II. La surface du filtre PDMS est moulée pour ainsi incorporer les réseaux de microstructures pyramidales qui servent à concentrer les signaux des senseurs optiques sur les photodétecteurs. Les réseaux de senseur à base de xérogel sont imprimés par contact sur le dessus des microstructures PDMS pyramidales qui agissant comme des lentilles. L'imageur CMOS utilise une matrice de 32x32 (1024 éléments) servant de pixels actifs et chaque un de ces pixels comporte un phototransistor à gain élevé pour convertir les signaux détectés optiques en courants électriques. La corrélation de circuit d'échantillonnage double, l'adresse de pixel, et les circuits de commande numérique d'intégration de signaux sont également résolue par la puce. Les données sont lues par l'imageur en tant que signaux codé en série. Les capteurs CMOS fournissent une plateforme utile pour le développement des systèmes miniaturisés pour l'analyse fiable et précis des composantes chimiques gazeuse et aqueuse par des moyens optiques.
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Ji, Honghao. "Integrated CMOS optical sensors for fluorescence detection and contact imaging." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3890.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.
Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Simon, Kim. "Otherwise than seeing, negotiating distance and contact for an ethical imaging." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ28661.pdf.

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Gan, Tat Hean. "New approaches to ultrasonic imaging using air-coupled and contact techniques." Thesis, University of Warwick, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273503.

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Galan, Cherrez Andres Moroni. "Design and Evaluation of a CMOS Contact-Imaging System for Microfluidics." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/7219.

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A CMOS contact-imaging system for microfluidics is presented. The microsystem integrates a five-layer PDMS microfluidic network and a CMOS image sensor fabricated in a standard 0.18 µ­m technology. The CMOS image sensor consists of two 10×1-pixel array, an amplifier, and a control logic. The imager is able to achieve a low dark signal of 1.67 mV/s, a maximum integration time of 514 s, and a high dynamic range of 75.2 dB at 1 s integration time. The microfluidic device integrates several actuated valve to achieve a fully automated lab-on-a-chip. This work also presents a quantitative comparison of the photomultiplier tube (PMT) and the CMOS contact-imaging system. The CMOS-microfluidic device is validated using an on-chip chemiluminescent analyte.
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Weisenfeld, Neil Ira 1969. "A non-contact, active stereo imaging system for intraoperative surface measurements." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87276.

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Petrack, Alec M. "Single-Pixel Camera Based Spatial Frequency Domain Imaging for Non-Contact Tissue Characterization." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1596066982589817.

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Al-Khalidi, Farah Qais. "Development and evaluation of thermal imaging techniques for non-contact respiration monitoring." Thesis, Sheffield Hallam University, 2011. http://shura.shu.ac.uk/20616/.

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Respiration rate is one of the main indicators of an individual's health and therefore it requires accurate quantification. Its value can be used to predict life threatening conditions such as the child death syndrome and heart attacks. The current respiration rate monitoring methods are contact based, i.e. a sensing device needs to be attached to the person's body. Physically constraining infants and young children by a sensing device can be stressful to the individuals which in turn affects their respiration rate. Therefore, measuring respiration rate in a non-contact manner (i.e. without attaching the sensing device to the subject) has distinct benefits. Currently there is not any non-contact respiration rate monitoring available for use in medical field. The aim of this study was to investigate thermal imaging as a means for non-contact respiration rate monitoring. Thermal imaging is safe and easy to deploy. Twenty children were enrolled for the study at Sheffield Children Hospital; the children were from 6 month to 17 years old. They slept comfortably in a bed during the recordings. A high resolution high sensitivity (0.08 degree Kelvin) thermal camera (Flir A40) was used for the recordings. The image capture rate was 50 frames per second and its recording duration per subject was two minutes (i.e. 6000 image frames)A median digital lowpass filter was used to remove unwanted frequency spectrum of the images. An important issue was to localize and track the area centered on the tip of the nose (i.e. respiration region of interest, ROI). A number of approaches were developed for this purpose. The most effective approach was to identify use the warmest facial point (i.e. the point where the bridge of the nose meets the corner of one of the eyes). A novel method to analyse the selected ROI was devised. This involved segmenting the ROI into eight equal segments centred on the tip of nose. A respiration signal was produced for each segment across the 6000 recorded images from each subject. The study demonstrated that the process of dividing the ROI into eight segments improves determination of respiration rate. The respiration signals were processed both in the time and frequency domains to determine respiration rates for the 20 subjects included in the study. The respiration values obtained from the two domains were close. During each recording respiration rate was monitored using conventional contact methods (e.g. nostril thermistor, abdomen and chest movement sensor etc). There was a close correlation (correlation value 0.99) between respiration values obtained by thermal imaging and those obtained using conventional contact method. The novel aspects of the study relate to the development of techniques that facilitated thermal imaging as an effective non-contact respiration rate monitoring in both normal and patient subject groups.
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Wu, Wan-Chen (Wan-Chen Shane) 1974. "Tactile sensing of shape : biomechanics of contact investigated using imaging and modeling." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35623.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (leaves 123-131).
The overall goal of this research effort is to improve the understanding of the biomechanics of skin as it pertains to human tactile sense. During touch, mechanoreceptors beneath the skin surface are mechanically loaded due to physical contact of the skin with an object and respond with a series of neural impulses. This neural population response is decoded by the central nervous system to result in tactile perception of properties such as the shape, surface texture and softness of the object. The particular approach taken in this research is to develop a realistic model of the human fingertip based on empirical measurements of in vivo geometric and material properties of skin layers, so that the mechanical response of the fingertip skin to different shapes of objects in contact can be investigated, to help identify the relevant mechanism that triggers the mechanoreceptors in tactile encoding of object shape. To obtain geometric data on the ridged skin surface and the layers underneath together with their deformation patterns, optical coherence tomography (OCT) was used to image human fingertips in vivo, free of load as well as when loaded with rigid indenters of different shapes.
(cont.) The images of undeformed and deformed finger pads were obtained, processed, and used for biomechanically validating the fingertip model. To obtain material properties of skin layers, axial strain imaging using high frequency ultrasound backscatter microscopy (UBM) was utilized in experiments on human fingertips in vivo to estimate the ratio of stiffnesses of the epidermis and dermis. By utilizing the data from OCT and UBM experiments, a multilayered three dimensional finite element model of the human fingertip composed of the ridged fingerpad skin surface as well as the papillary interface between the epidermis and dermis was developed. The model was used to simulate static indentation of the fingertip by rigid objects of different shapes and to compute stress and strain measures, such as strain energy density (SED), and maximum compressive or tensile strain (MCS, MTS), which have been previously proposed as the relevant stimuli that trigger mechanoreceptor response.
(cont.) The results showed that the intricate geometry of skin layers and inhomogeneous material properties around the locations of the SA-I and RA mechanoreceptors caused significant differences in the spatial distribution of candidate relevant stimuli, compared with other locations at the same depths or the predictions from previous homogeneous models of the fingertip. The distribution of the SED at the locations of SA-I mechanoreceptors and the distribution of MCS/MTS at the locations of RA mechanoreceptors under indentation of different object shapes were obtained to serve as predictions to be tested in future biomechanical and neurophysiological experiments.
by Wan-Chen Wu.
Ph.D.
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Hall, Lee. "Use of imaging technology to better understand soft contact lens fit dynamics." Thesis, Aston University, 2014. http://publications.aston.ac.uk/24468/.

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The principal theme of this thesis is the identification of additional factors affecting, and consequently to better allow, the prediction of soft contact lens fit. Various models have been put forward in an attempt to predict the parameters that influence soft contact lens fit dynamics; however, the factors that influence variation in soft lens fit are still not fully understood. The investigations in this body of work involved the use of a variety of different imaging techniques to both quantify the anterior ocular topography and assess lens fit. The use of Anterior-Segment Optical Coherence Tomography (AS-OCT) allowed for a more complete characterisation of the cornea and corneoscleral profile (CSP) than either conventional keratometry or videokeratoscopy alone, and for the collection of normative data relating to the CSP for a substantial sample size. The scleral face was identified as being rotationally asymmetric, the mean corneoscleral junction (CSJ) angle being sharpest nasally and becoming progressively flatter at the temporal, inferior and superior limbal junctions. Additionally, 77% of all CSJ angles were within ±50 of 1800, demonstrating an almost tangential extension of the cornea to form the paralimbal sclera. Use of AS-OCT allowed for a more robust determination of corneal diameter than that of white-to-white (WTW) measurement, which is highly variable and dependent on changes in peripheral corneal transparency. Significant differences in ocular topography were found between different ethnicities and sexes, most notably for corneal diameter and corneal sagittal height variables. Lens tightness was found to be significantly correlated with the difference between horizontal CSJ angles (r =+0.40, P =0.0086). Modelling of the CSP data gained allowed for prediction of up to 24% of the variance in contact lens fit; however, it was likely that stronger associations and an increase in the modelled prediction of variance in fit may have occurred had an objective method of lens fit assessment have been made. A subsequent investigation to determine the validity and repeatability of objective contact lens fit assessment using digital video capture showed no significant benefit over subjective evaluation. The technique, however, was employed in the ensuing investigation to show significant changes in lens fit between 8 hours (the longest duration of wear previously examined) and 16 hours, demonstrating that wearing time is an additional factor driving lens fit dynamics. The modelling of data from enhanced videokeratoscopy composite maps alone allowed for up to 77% of the variance in soft contact lens fit, and up to almost 90% to be predicted when used in conjunction with OCT. The investigations provided further insight into the ocular topography and factors affecting soft contact lens fit.
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Books on the topic "Contact imaging"

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Strömberg, Niklas. Imaging optodes. Göteborg: Dept. of Chemistry, Analytical Chemistry, Göteborg University, 2006.

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DeFigueiredo, Rui J. P. A contribution to laser range imaging technology: NASA contract final report. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1991.

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Association, American Pharmacists, ed. Diagnostic imaging for pharmacists. Washington, DC: American Pharmacists Association, 2011.

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Heismann, Björn J. Spectral CT imaging. Bellingham, Wash: SPIE Press, 2012.

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Hoff, Lars. Acoustic characterization of contrast agents for medical ultrasound imaging. Dordrecht: Kluwer Academic Publishers, 2001.

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Kanal, Emanuel. Safety manual on magnetic resonance imaging contrast agents. Cedar Knolls, N.J: Lippincott-Raven Healthcare, 1995.

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Slater, P. Semi-annual EOS contract report: Report #66 : period: January 1 - June 30, 1997; contract number: NAS5-31717. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Hernandez, John B. Evaluating a multi-hospital quality improvement strategy to implement clinical guidelines for radiographic contrast agents. Santa Monica, CA: Rand, 1998.

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Hernandez, John B. Evaluating a multi-hospital quality improvement strategy to implement clinical guidelines for radiographic contrast agents. Santa Monica, CA: Rand, 1998.

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Hernandez, John B. Evaluating a multi-hospital quality improvement strategy to implement clinical guidelines for radiographic contrast agents. Santa Monica, CA: Rand, 1998.

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Book chapters on the topic "Contact imaging"

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Payne, Steve. "Contact Lithotripters." In Imaging and Technology in Urology, 205–8. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2422-1_46.

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Cretin, Bernard, and Daniel Hauden. "Transmission Thermoacoustic Imaging Without Contact." In Acoustical Imaging, 653–55. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2523-9_65.

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Pei, J., M. I. Yousuf, F. L. Degertekin, B. V. Honein, and B. T. Khuri-Yakub. "Plate Tomography with Dry Contact Lamb Wave Transducers." In Acoustical Imaging, 725–30. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_118.

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Namboodiri, Narayanan, Anthony G. Brooks, and Prashanthan Sanders. "Contact and Noncontact Electroanatomical Mapping." In Cardiac Imaging in Electrophysiology, 161–79. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-486-7_11.

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Lee, Hee Hyun, John Rogers, and Graciela Blanchet. "Thermal Imaging and Micro-contact Printing." In Organic Electronics, 233–70. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527608753.ch10.

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Jones, J. P., D. Lee, M. Bhardwaj, V. Vanderkam, and B. Achauer. "Non-Contact Ultrasonic Imaging for the Evaluation of Burn-Depth and other Biomedical Applications." In Acoustical Imaging, 89–93. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8588-0_14.

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Tan, K. H., P. C. Cheng, and D. M. Shinozaki. "Soft X-ray Contact Imaging at CSRF." In X-ray Microscopy, 185–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72881-5_12.

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Egan, Gillian, Elizabeth Keavey, and Niall Phelan. "Comparison of Contact Spot Imaging on a Scanning Mammography System to Conventional Geometric Magnification Imaging." In Breast Imaging, 165–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31271-7_22.

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Cheng, P. C., D. M. Shinozaki, and K. H. Tan. "Recent Advances in Contact Imaging of Biological Materials." In X-ray Microscopy, 65–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72881-5_6.

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Lorente, Nicolas, and Mads Brandbyge. "Theory of Elastic and Inelastic Transport from Tunneling to Contact." In Scanning Probe Microscopies Beyond Imaging, 469–507. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527608516.ch15.

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Conference papers on the topic "Contact imaging"

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Zhao, Haiyu, and Christopher D. Rahn. "Repetitive Contact Imaging." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35586.

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Repetitive contact imaging uses a flexible whisker attached to a two axis robot to measure the shape of contacted objects. Assuming small deformations and rotations, the pitch axis decouples from yaw. The yaw axis, under PD control, sweeps periodically back and forth across the object while the pitch axis, under repetitive learning (RL) control, maintains a uniform contact force using load cell and encoder feedback. Once the RL controller converges, the 3D contact points can be determined using an elastica algorithm. The RL controller is proven stable based on a distributed parameter beam model and experimentally shown to provide stable performance with improved moment regulation when compared to PD control.
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Sitnik, Robert, Jerzy Sładek, Magdalena Kupiec, Paweł Błaszczyk, and Wojciech Załuski. "Hybrid, contact, and no contact measurement system for industry." In Electronic Imaging 2008, edited by Brian D. Corner, Masaaki Mochimaru, and Robert Sitnik. SPIE, 2008. http://dx.doi.org/10.1117/12.765910.

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Brahmbhatt, Samarth, Cusuh Ham, Charles C. Kemp, and James Hays. "ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00891.

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White, L. K. "Contact Hole Imaging In Stepper Lithography." In Microlithography Conference, edited by Harry L. Stover. SPIE, 1987. http://dx.doi.org/10.1117/12.967056.

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Wang, Xiong, Yexian Qin, Russell S. Witte, and Hao Xin. "Modeling of non-contact thermoacoustic imaging." In 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2015. http://dx.doi.org/10.1109/usnc-ursi.2015.7303598.

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Koch, Martin, Alexander Brost, Atilla Kiraly, Norbert Strobel, and Joachim Hornegger. "Post-procedural evaluation of catheter contact force characteristics." In SPIE Medical Imaging, edited by Bram van Ginneken and Carol L. Novak. SPIE, 2012. http://dx.doi.org/10.1117/12.912315.

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Choi, Hyun Young, Woojin Ahn, and Doo Yong Lee. "Multi-contact model for FEM-based surgical simulation." In SPIE Medical Imaging. SPIE, 2010. http://dx.doi.org/10.1117/12.844153.

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Johnsen, S. F., Z. A. Taylor, M. Clarkson, S. Thompson, M. Hu, K. Gurusamy, B. Davidson, D. J. Hawkes, and S. Ourselin. "Explicit contact modeling for surgical computer guidance and simulation." In SPIE Medical Imaging, edited by David R. Holmes III and Kenneth H. Wong. SPIE, 2012. http://dx.doi.org/10.1117/12.911787.

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Fitzpatrick, Aidan, Ajay Singhvi, and Amin Arbabian. "Spatial Reconstruction of Soil Moisture Content using Non-Contact Thermoacoustic Imaging." In 2020 IEEE SENSORS. IEEE, 2020. http://dx.doi.org/10.1109/sensors47125.2020.9278654.

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Nakayama, Chieko. "Non-contact water content measurement of soil based on thermal imaging." In 2008 International Conference on Control, Automation and Systems (ICCAS). IEEE, 2008. http://dx.doi.org/10.1109/iccas.2008.4694229.

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Reports on the topic "Contact imaging"

1

Abshire, Pamela, Elisabeth Smela, and Benjamin Shapiro. On-Chip Hardware for Cell Monitoring: Contact Imaging and Notch Filtering. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada435748.

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Forsberg, Flemming. Multi-Pulse Ultrasound Contract Imaging for Improved Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada411301.

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Forsberg, Flemming. Ultrasound Activated Contrast Imaging for Prostate Cancer Detection. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada439248.

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Forsberg, Flemming. Ultrasound Activated Contrast Imaging for Prostate Cancer Detection. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada472860.

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Diebold, Gerald J. High Resolution X-ray Phase Contrast Imaging with Acoustic Tissue-Selective Contrast Enhancement. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada488612.

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Diebold, Gerald J. High Resolution X-Ray Phase Contrast Imaging with Acoustic Tissue-Selective Contrast Enhancement. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada472126.

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Diebold, Gerald J. High Resolution X-Ray Phase Contrast Imaging With Acoustic Tissue-Selective Contrast Enhancement. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada457700.

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Forsberg, Flemming. Contrast Enhanced 3D Color Amplitude Imaging of the Breasts. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada382383.

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Palmer, Matthew R. Bisphosphonate-Based Contrast Agents for Radiological Imaging of Microcalcifications. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada431695.

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Palmer, Matthew R. Bisphosphonate-Based Contrast Agents for Radiological Imaging of Microcalcifications. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada468525.

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