Academic literature on the topic 'Tissue imaging'

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Journal articles on the topic "Tissue imaging"

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Ostlere, S., and R. Graham. "Imaging of soft tissue masses." Imaging 17, no. 3 (December 2005): 268–84. http://dx.doi.org/10.1259/imaging/74338804.

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GRAHAM, R., and S. OSTLERE. "Imaging of soft-tissue masses." Imaging 22, no. 1 (May 2013): 79953227. http://dx.doi.org/10.1259/imaging/79953227.

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Chase, J. Geoffrey, Elijah Van Houten, Lawrence Ray, David Bates, Jean-Paul Henderson, Cameron Ewing, and Crispin Berg. "Digital Image-Based Elasto-Tomography for Soft Tissue Imaging(Imaging & Measurement)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 117–18. http://dx.doi.org/10.1299/jsmeapbio.2004.1.117.

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Souquet, Jacques, Jeff Powers, and Patrick Pesque. "Tissue harmonic imaging." European Journal of Ultrasound 7 (February 1998): S9. http://dx.doi.org/10.1016/s0929-8266(97)80134-6.

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Ortega, Dulia, Peter N. Burns, David Hope Simpson, and Stephanie R. Wilson. "Tissue Harmonic Imaging." American Journal of Roentgenology 176, no. 3 (March 2001): 653–59. http://dx.doi.org/10.2214/ajr.176.3.1760653.

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Whittingham, T. A. "Tissue harmonic imaging." European Radiology 9, S3 (November 23, 1999): S323—S326. http://dx.doi.org/10.1007/pl00014065.

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Prado, Carla M. M., and Steven B. Heymsfield. "Lean Tissue Imaging." Journal of Parenteral and Enteral Nutrition 38, no. 8 (September 19, 2014): 940–53. http://dx.doi.org/10.1177/0148607114550189.

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Uppal, Talat. "Tissue harmonic imaging." Australasian Journal of Ultrasound in Medicine 13, no. 2 (May 2010): 29–31. http://dx.doi.org/10.1002/j.2205-0140.2010.tb00155.x.

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Kim, Yong Jin. "Doppler Tissue Imaging." Journal of the Korean Society of Echocardiography 11, no. 2 (2003): 63. http://dx.doi.org/10.4250/jkse.2003.11.2.63.

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Hedrick, W. R., and Linda Metzger. "Tissue Harmonic Imaging." Journal of Diagnostic Medical Sonography 21, no. 3 (May 2005): 183–89. http://dx.doi.org/10.1177/8756479305276477.

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Dissertations / Theses on the topic "Tissue imaging"

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Killich, Markus. "Tissue Doppler Imaging." Diss., lmu, 2007. http://nbn-resolving.de/urn:nbn:de:bvb:19-67089.

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Einarsdóttir, Hildur. "Imaging of soft tissue tumors /." Stockholm, 2003. http://diss.kib.ki.se/2003/91-7349-647-2/.

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Sharma, Srikanta. "Microultrasound imaging of tissue dysplasia." Thesis, University of Dundee, 2015. https://discovery.dundee.ac.uk/en/studentTheses/ce30ac7f-8d18-464d-bbe5-5e9329ff5ff2.

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The second most common cause of cancer deaths in the developed world is bowel cancer. Improving the ability to detect and classify lesions as early as possible, allows treatment earlier. The work presented in this thesis is structured around the following detailed aims:Development of high frequency, broadband µUS (micro-ultrasound) imaging transducers through optimization of ultra-thinning processes for lithium niobate (LNO) and fabrication of novel ‘mass-spring’ matching layers using carefully controlled vacuum deposition is demonstrated. The effectiveness of this technique was quantified by applying multiple matching layers to 3 mm diameter 45 MHz LNO µUS transducers using carefully controlled vacuum deposition. The bandwidth of single mass-spring layer µUS transducer was measured to be 46% with an insertion loss of 21 dB. The bandwidth and insertion loss of a multiple matching layer µUS transducer was measured to be 59% and 18 dB respectively. The values were compared with an unmatched transducer which had a bandwidth and insertion loss of 28% and 34 dB respectively. All the experimentally measured values were in agreement with unidimensional acoustic model predictions. µUS tools that can detect and measure microscopic changes in precancerous tissue using a mouse small bowel model with an oncogenic mutation was developed. µUS transducer was used to test the hypothesis that the intestinal tissue morphology of WT (wild type) and ApcMin/+ (adenomatous polyposis coli) diverges with progressing age intervals (60, 90 and 120 days) of mice. A high frequency ultrasound scanning system was designed and the experiments were performed ex vivo using a focused 45 MHz, f-# = 2.85, µUS transducer. The data collected by scanning was used to compute the backscatter coefficients (BSC) and acoustic impedance (Z) of WT and ApcMin/+ mice. The 2D and 3D ultrasound images showed that µUS detects polyps < 500 µm in the scan plane. The measured values of BSC and Z showed differences between normal and precancerous tissue. The differences detected in precancerous murine intestine and human tissue using µUS were correlated with high resolution 3D optical imaging. This novel approach may provide a powerful adjunct to screening endoscopy for improved identification and monitoring, allowing earlier treatment of otherwise undetectable lesions.
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Lee, Peter. "Scalable multi-parametric imaging of excitable tissue : cardiac imaging." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:a2594103-894b-4e1c-bdbb-43886f0d7fe0.

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The field of cardiac electrophysiological imaging has advanced tremendously in the past three decades with developments in fluorescent dyes, photodetectors, optical filters, illumination sources, computers and electronics. This thesis describes several scalable multi-parametric imaging systems and their application to cardiac tissue preparations at various levels of complexity. Using off-the-shelf components, single-camera multi-parametric optical mapping systems are described for various fluorescent dye combinations and single-element photodiode-based fibre-optic detection systems are described for drug-testing applications. The instruments described take advantage of modern voltage-sensitive dyes, multi-band optical filters and powerful light-emitting-diodes, from the ultraviolet to the red. The two electrophysiological parameters focused on were transmembrane voltage and the intracellular calcium concentration. Several voltage and calcium dye combinations were established, which produce no signal cross-talk. Furthermore, second- and third-generation voltage dyes were characterized in cardiac tissue, in vitro and in vivo. The developed systems were then applied to isolated Langendorff-perfused whole-hearts, in vivo whole-hearts, thin ventricular tissue-slices and human induced pluripotent stem cell-derived cardiac tissue. The interventions applied include accurately-timed electrical and mechanical local stimulation of the whole-heart to generate ectopic beats, cardiotoxic drugs and flash-photolysis of caged-compounds. With the high-throughput demands of drug discovery and testing, further development of scalable optical electrophysiological systems may prove critical in reducing attrition and costs. And for in vivo optical mapping, development of minimally-invasive and clinically-relevant optical systems will be essential in validating existing theories based on in vitro experiments and exploring cardiac function and behaviour with the heart intact in the organism.
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Killich, Markus. "Tissue Doppler imaging Erstellung von Referenzwerten für tissue velocity imaging, strain und strain rate beim Hund /." [S.l.] : [s.n.], 2006. http://edoc.ub.uni-muenchen.de/archive/00006708.

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Poland, Simon. "Techniques in deep imaging within biological tissue." Thesis, University of Strathclyde, 2006. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21651.

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This thesis is concerned with the development of low-cost and practical biological optical imaging and diagnosis systems that will allow the user to image and resolve structure deep into biological tissue without the need for physical dissection. Research within this thesis can be divided into two main sections, namely (a) the development of optically sectioning microscopy systems incorporating adaptive optics to compensate for system and specimen induced aberrations, and (b) as an example of biological tissue and disease, the development of dental imaging devices to detect and diagnose dental disease (caries). Section (a) The ability of confocal and multiphoton microscopy techniques to image optical sections deep within biological samples is a major advantage in biology. Unfortunately, as one images deeper within a sample, image degradation increases due to aberrations and scattering. In this investigation, operating a confocal microscope in reflection, a deformable membrane mirror (DMM) was used to counteract for sample aberrations within a closed feedback loop. By selecting various image properties (e. g. brightness, contrast or resolution), various optimisation algorithms were used to improve this property by altering the shape of the DMM and compensate for aberrations. Taking axial and lateral point spread functions (PSFs), the improvement of the system was monitored. The ability of the adaptive optic system to optimise to a particular axial PSF (PSF engineering) was also examined. The use of various algorithms with an adaptive element in a confocal system has been demonstrated to show significant improvement in the axial resolution and signal intensity. While global optimisation algorithms such as the genetic algorithm are more likely to find the global maximum in solution space in comparison to hillclimbing, it usually takes longer to achieve an optimum solution. Particular fitness parameters have shown promise in increasing the effectiveness of the algorithmic search routines. Optimising certain axial PSF components appears to have a detrimental effect on the lateral PSF and resolution. In the situation where the best axial and lateral resolution is required, optimising for intensity appears to show the best all round result. By adapting the axial fitness parameter program, it has been shown that particular desired axial PSF shapes can be reproduced within an aberrated sample. This does appear to have some limitations due to the relative power of the mirror (stroke). Section (b) Using optical techniques, physiological changes associated with the onset of disease in biological tissue can be detected. Taking dental tissue as an example of a highly scattering biological media, a computer model based upon commercially available software was used to theoretically reproduce experimental results taken using a fibre optical confocal system on dental tissue. From simulations, it has been shown that such a system could microscopically measure the optical properties of a caries lesion within dental enamel non-invasively. A system based on the use of structured light to penetrate and quantify early stage dental caries was presented as a possible aid to dentistry. Although the system was able to optically section the carious surface as well as detect inhomogeneities greater than 60μm deep into the tooth sample, more studies must be carried out to assess the limitations of the system. On a macroscopic scale, a cost effective system known as near-infrared Lateral Illumination (L. I.) (which is based on transillumination techniques) was presented. In a preliminary study involving 15 ex-in vivo adult pre-molars and molars at various stages of dental decay, L. I. was shown to be the most effective occlusal caries diagnosis system when compared to some techniques currently available and in development.
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Lapp, Sarah Julia. "Bioluminescence Imaging Strategies for Tissue Engineering Applications." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32338.

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In vitro differentiation of stem cells in biocompatible scaffolds in a bioreactor is a promising method for creating functional engineered tissue replacements suitable for implantation. Basic studies have shown that mechanical, chemical, and pharmaceutical stimuli enhance biological functionality of the replacement as often defined by parameters such as cell viability, gene expression, and protein accumulation. Most of the assays to evaluate these parameters require damage or destruction of the cell-scaffold construct. Therefore, these methods are not suitable for monitoring the development of a functional tissue replacement in a spatial and temporal manner prior to implantation. Bioluminescence imaging is a technique that has been utilized to monitor cell viability and gene expression in various in vivo applications. However, it has never been applied in an in vitro setting for the specific purpose of evaluating a cell-scaffold construct. This research describes the design of flow perfusion bioreactor system suitable for bioluminescence imaging. In the first experimental chapter, the system was tested using MC3T3-E1 cells transfected with a constitutive bioluminescent reporter. It was found that bioluminescence imaging was possible with this system. In the second experimental chapter, MC3T3-E1 cells transfected with BMP-2 linked bioluminescence reporter were cultured by flow perfusion for a period of 11 days. Bioluminescence was detectable from the cells starting at day 4, while peaking in intensity between days 7 and 9. Further, it was also found that bioluminescence occurred in distinct regions within the scaffold. These results indicate that these strategies may yield information not available with current assays.
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Unnersjö-Jess, David. "High-resolution imaging of kidney tissue samples." Licentiate thesis, KTH, Cellulär biofysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207577.

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The kidney is one of the most important and complex organs in the human body, filtering hundreds of litres of blood daily. Kidney disease is one of the fastest growing causes of death in the modern world, and this motivates extensive research for better understanding the function of the kidney in health and disease. Some of the most important cellular structures for blood filtration in the kidney are of very small dimensions (on the sub-200 nm scale), and thus electron microscopy has been the only method of choice to visualize these minute structures. In one study, we show for the first time that by combining optical clearing with STED microscopy, protein localizations in the slit diaphragm of the kidney, a structure around 75 nanometers in width, can now be resolved using light microscopy. In a second study, a novel sample preparation method, expansion microscopy, is utilized to physically expand kidney tissue samples. Expansion improves the effective resolution by a factor of 5, making it possible to resolve podocyte foot processes and the slit diaphragm using confocal microscopy. We also show that by combining expansion microscopy and STED microscopy, the effective resolution can be improved further. In a third study, influences on the development of the kidney were studied. There is substantial knowledge regarding what genes (growth factors, receptors etc.) are important for the normal morphogenesis of the kidney. Less is known regarding the physiology behind how paracrine factors are secreted and delivered in the developing kidney. By depleting calcium transients in explanted rat kidneys, we show that calcium is important for the branching morphogenesis of the ureteric tree. Further, the study shows that the calcium-dependent initiator of exocytosis, synaptotagmin, is expressed in the metanephric mesenchyme of the developing kidney, indicating that it could have a role in the secretion of paracrine growth factors, such as GDNF, to drive the branching.

QC 20170523

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Erich, Katrin [Verfasser], and Carsten [Akademischer Betreuer] Hopf. "Investigation of Cancerous Tissues by MALDI Mass Spectrometry Imaging - Imaging of proteolytic activity in frozen tissue and standardised on-tissue digestion / Katrin Erich ; Betreuer: Carsten Hopf." Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/1193252393/34.

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Sikdar, Siddhartha. "Ultrasonic imaging of flow-induced vibrations in tissue /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6100.

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Books on the topic "Tissue imaging"

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D, Murphey Mark, ed. Imaging of soft tissue tumors. Philadelphia: W.B. Saunders Co., 1997.

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D, Murphey Mark, ed. Imaging of soft tissue tumors. 2nd ed. Philadelphia, PA: Lippincott Williams & Wilkins, 2006.

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Kang, Heung Sik, Sung Hwan Hong, Ja-Young Choi, and Hye Jin Yoo. Oncologic Imaging: Soft Tissue Tumors. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-287-718-5.

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De Schepper, Arthur M., Paul M. Parizel, Luc De Beuckeleer, and Filip Vanhoenacker, eds. Imaging of Soft Tissue Tumors. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-07856-3.

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De Schepper, Arthur M., Paul M. Parizel, Frank Ramon, Luc De Beuckeleer, and Jan E. Vandevenne, eds. Imaging of Soft Tissue Tumors. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-07859-4.

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Higer, H. Peter, and Gernot Bielke, eds. Tissue Characterization in MR Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74993-3.

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De Schepper, Arthur M., Filip Vanhoenacker, Jan Gielen, and Paul M. Parizel, eds. Imaging of Soft Tissue Tumors. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-30792-3.

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Vanhoenacker, Filip M., Paul M. Parizel, and Jan L. Gielen, eds. Imaging of Soft Tissue Tumors. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46679-8.

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Kotecha, Mrignayani, Richard L. Magin, and Jeremy J. Mao, eds. Magnetic Resonance Imaging in Tissue Engineering. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119193272.

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Marwick, Thomas H., Cheuk-Man Yu, and Jing Ping Sun, eds. Myocardial Imaging: Tissue Doppler and Speckle Tracking. Oxford, UK: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470692448.

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Book chapters on the topic "Tissue imaging"

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Avetisyan, Vardan, and Narine Sarvazyan. "Imaging, Staining, and Markers." In Tissue Engineering, 77–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39698-5_7.

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O'Doherty, Jim, Martin J. Leahy, and Gert E. Nilsson. "Tissue Viability Imaging." In Microcirculation Imaging, 165–95. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527651238.ch9.

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Sigal, Robert, D. Doyon, Ph Halimi, and H. Atlan. "Tissue Parameters." In Magnetic Resonance Imaging, 5–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73037-5_2.

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Nowicki, Andrzej, Jerzy Litniewski, Jacek Liwski, Wojciech Secomski, Paweł Karłowicz, and Marcin Lewandowski. "Superficial Tissue Microsonography." In Acoustical Imaging, 501–5. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_81.

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Smith, Andrew, Niccolò Mosele, Vincenzo L'Imperio, Fabio Pagni, and Fulvio Magni. "Tissue MALDI Imaging." In Integration of Omics Approaches and Systems Biology for Clinical Applications, 156–72. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119183952.ch9.

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Backman, Vadim, Adam Wax, and Hao F. Zhang. "Microscopic Tissue Imaging." In A Laboratory Manual in Biophotonics, 119–76. Boca Raton : Taylor & Francis, 2017.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315374857-4.

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Satrapa, Jaroslav D., and Ivan Zuna. "Differences of Ultrasound Propagation in Tissue and Tissue Mimicking Materials." In Acoustical Imaging, 27–36. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_5.

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Lizzi, Frederic L., Ernest J. Feleppa, and Mykola M. Yaremko. "Ultrasonic Tissue Characterization Imaging." In Acoustical Imaging, 505. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2523-9_48.

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Wattjes, Mike P., and Dirk Fischer. "Normal Aging Muscle Tissue." In Neuromuscular Imaging, 101–7. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6552-2_11.

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Hickeson, Marc P. "Soft Tissue Sarcomas." In Pediatric PET Imaging, 302–11. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-34641-4_16.

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Conference papers on the topic "Tissue imaging"

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Sato, T., Y. Yamakoshi, and T. Nakamura. "Nonlinear Tissue Imaging." In IEEE 1986 Ultrasonics Symposium. IEEE, 1986. http://dx.doi.org/10.1109/ultsym.1986.198864.

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Oraevsky, Alexander A., Rinat O. Esenaliev, Steven L. Jacques, and Frank K. Tittel. "Laser-based optoacoustic imaging in biological tissues." In Laser-Tissue Interaction V. SPIE, 1994. http://dx.doi.org/10.1117/12.182927.

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Kuzmina, Ilona, Vanesa Lukinsone, Uldis Rubins, Ilze Osina, Laura Dambite, Anna Maslobojeva, and Janis Spigulis. "Agar-based phantoms for skin diagnostic imaging." In Tissue Optics and Photonics, edited by Zeev Zalevsky, Valery V. Tuchin, and Walter C. Blondel. SPIE, 2020. http://dx.doi.org/10.1117/12.2555674.

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Doktor, Dominik, Zachary N. Coker, Vsevolod Cheburkanov, Joshua Lalonde, Sean O’Connor, and Vladislav V. Yakovlev. "Dynamic Brillouin microscopy imaging." In Optical Elastography and Tissue Biomechanics VII, edited by Kirill V. Larin and Giuliano Scarcelli. SPIE, 2020. http://dx.doi.org/10.1117/12.2550934.

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Bayat, Sharareh, Farhad Imani, Carlos D. Gerardo, Guy Nir, Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, et al. "Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing." In SPIE Medical Imaging, edited by Neb Duric and Brecht Heyde. SPIE, 2017. http://dx.doi.org/10.1117/12.2255540.

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Leeman, S., and L. A. Ferrari. "Tissue Characterization." In Pattern Recognition and Acoustical Imaging, edited by Leonard A. Ferrari. SPIE, 1987. http://dx.doi.org/10.1117/12.940245.

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Hashimoto, Emi, Masahiro Ishikawa, Kazuma Shinoda, Madoka Hasegawa, Hideki Komagata, Naoki Kobayashi, Naoki Mochidome, et al. "Tissue classification of liver pathological tissue specimens image using spectral features." In SPIE Medical Imaging, edited by Metin N. Gurcan and John E. Tomaszewski. SPIE, 2017. http://dx.doi.org/10.1117/12.2253818.

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Nguyen, Kien, Ting Chen, Joerg Bredno, Chukka Srinivas, Christophe Chefd'hotel, Solange Romagnoli, Astrid Heller, Oliver Grimm, and Fabien Gaire. "Adaptive whole slide tissue segmentation to handle inter-slide tissue variability." In SPIE Medical Imaging, edited by Metin N. Gurcan and Anant Madabhushi. SPIE, 2015. http://dx.doi.org/10.1117/12.2082343.

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Sung, Shijun, and Zachary D. Taylor. "Quasioptical imaging system design for THz medical imaging application (Conference Presentation)." In Optical Interactions with Tissue and Cells XXVII, edited by E. Duco Jansen. SPIE, 2016. http://dx.doi.org/10.1117/12.2218578.

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Dremin, Viktor V., Dmytro Anin, Oleksii Sieryi, Mariia A. Borovkova, Juha Näpänkangas, Igor V. Meglinski, and Alexander V. Bykov. "Imaging of early stage breast cancer with circularly polarized light." In Tissue Optics and Photonics, edited by Zeev Zalevsky, Valery V. Tuchin, and Walter C. Blondel. SPIE, 2020. http://dx.doi.org/10.1117/12.2554166.

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Reports on the topic "Tissue imaging"

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Diebold, Gerald J. Electroacoustic Tissue Imaging. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada415818.

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Diebold, Gerald J. Electroacoustic Tissue Imaging. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada456398.

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Diebold, Gerald J. Electroacoustic Tissue Imaging. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435025.

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Bao, Gang. Multifunctional Magnetic Nanoparticle Probes for Deep-Tissue Imaging. Fort Belvoir, VA: Defense Technical Information Center, June 2005. http://dx.doi.org/10.21236/ada434280.

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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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Peehl, Donna M. Discovery of Hyperpolarized Molecular Imaging Biomarkers in a Novel Prostate Tissue Slice Culture Model. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada580953.

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Kurhanewicz, John. Discovery of Hyperpolarized Molecular Imaging Biomarkers in a Novel Prostate Tissue Slice Culture Model. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada584506.

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Ronen, Sabrina. Discovery of Hyperpolarized Molecular Imaging Biomarkers in a Novel Prostate Tissue Slice Culture Model. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada585099.

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