Relevant bibliographies by topics / Biomedical imaging

Academic literature on the topic 'Biomedical imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 23 February 2024

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Journal articles on the topic "Biomedical imaging"

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TAJIRI, Hisao. "Biomedical Imaging." JOURNAL OF JAPAN SOCIETY FOR LASER SURGERY AND MEDICINE 20, no. 1 (1999): 73–74. http://dx.doi.org/10.2530/jslsm1980.20.1_73.

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Pullan, A. J. "Biomedical Imaging." Yearbook of Medical Informatics 13, no. 01 (August 2004): 447–49. http://dx.doi.org/10.1055/s-0038-1638195.

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Capusten, Bernice. "Biomedical Imaging." Radiology 163, no. 3 (June 1987): 644. http://dx.doi.org/10.1148/radiology.163.3.644.

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Beard, Paul. "Biomedical photoacoustic imaging." Interface Focus 1, no. 4 (June 22, 2011): 602–31. http://dx.doi.org/10.1098/rsfs.2011.0028.

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Photoacoustic (PA) imaging, also called optoacoustic imaging, is a new biomedical imaging modality based on the use of laser-generated ultrasound that has emerged over the last decade. It is a hybrid modality, combining the high-contrast and spectroscopic-based specificity of optical imaging with the high spatial resolution of ultrasound imaging. In essence, a PA image can be regarded as an ultrasound image in which the contrast depends not on the mechanical and elastic properties of the tissue, but its optical properties, specifically optical absorption. As a consequence, it offers greater specificity than conventional ultrasound imaging with the ability to detect haemoglobin, lipids, water and other light-absorbing chomophores, but with greater penetration depth than purely optical imaging modalities that rely on ballistic photons. As well as visualizing anatomical structures such as the microvasculature, it can also provide functional information in the form of blood oxygenation, blood flow and temperature. All of this can be achieved over a wide range of length scales from micrometres to centimetres with scalable spatial resolution. These attributes lend PA imaging to a wide variety of applications in clinical medicine, preclinical research and basic biology for studying cancer, cardiovascular disease, abnormalities of the microcirculation and other conditions. With the emergence of a variety of truly compelling in vivo images obtained by a number of groups around the world in the last 2–3 years, the technique has come of age and the promise of PA imaging is now beginning to be realized. Recent highlights include the demonstration of whole-body small-animal imaging, the first demonstrations of molecular imaging, the introduction of new microscopy modes and the first steps towards clinical breast imaging being taken as well as a myriad of in vivo preclinical imaging studies. In this article, the underlying physical principles of the technique, its practical implementation, and a range of clinical and preclinical applications are reviewed.
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Fujimoto, James G., Daniel L. Farkas, and Barry R. Masters. "Biomedical Optical Imaging." Journal of Biomedical Optics 15, no. 5 (2010): 059902. http://dx.doi.org/10.1117/1.3490919.

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Weissleder, Ralph, and Matthias Nahrendorf. "Advancing biomedical imaging." Proceedings of the National Academy of Sciences 112, no. 47 (November 24, 2015): 14424–28. http://dx.doi.org/10.1073/pnas.1508524112.

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Imaging reveals complex structures and dynamic interactive processes, located deep inside the body, that are otherwise difficult to decipher. Numerous imaging modalities harness every last inch of the energy spectrum. Clinical modalities include magnetic resonance imaging (MRI), X-ray computed tomography (CT), ultrasound, and light-based methods [endoscopy and optical coherence tomography (OCT)]. Research modalities include various light microscopy techniques (confocal, multiphoton, total internal reflection, superresolution fluorescence microscopy), electron microscopy, mass spectrometry imaging, fluorescence tomography, bioluminescence, variations of OCT, and optoacoustic imaging, among a few others. Although clinical imaging and research microscopy are often isolated from one another, we argue that their combination and integration is not only informative but also essential to discovering new biology and interpreting clinical datasets in which signals invariably originate from hundreds to thousands of cells per voxel.
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Ji Yi, Ji Yi. "Visible light optical coherence tomography in biomedical imaging." Infrared and Laser Engineering 48, no. 9 (2019): 902001. http://dx.doi.org/10.3788/irla201948.0902001.

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Liu, Yen-Yiu, Be-Ming Chang, and Huan-Cheng Chang. "Nanodiamond-enabled biomedical imaging." Nanomedicine 15, no. 16 (July 2020): 1599–616. http://dx.doi.org/10.2217/nnm-2020-0091.

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Biomedical imaging allows in vivo studies of organisms, providing valuable information of biological processes at both cellular and tissue levels. Nanodiamonds have recently emerged as a new type of probe for fluorescence imaging and contrast agent for magnetic resonance and photoacoustic imaging. Composed of sp3-carbon atoms, diamond is chemically inert and inherently biocompatible. Uniquely, its matrix can host a variety of optically and magnetically active defects suited for bioimaging applications. Since the first production of fluorescent nanodiamonds in 2005, a large number of experiments have demonstrated that fluorescent nanodiamonds are useful as photostable markers and nanoscale sensors in living cells and organisms. In this review, we focus our discussion on the recent advancements of nanodiamond-enabled biomedical imaging for preclinical applications.
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Jiang, Ming, Alfred K. Louis, Didier Wolf, Hongkai Zhao, Christian Daul, Zhaotian Zhang, and Tie Zhou. "Mathematics in Biomedical Imaging." International Journal of Biomedical Imaging 2007 (2007): 1–2. http://dx.doi.org/10.1155/2007/64954.

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Gorocs, Z., and A. Ozcan. "On-Chip Biomedical Imaging." IEEE Reviews in Biomedical Engineering 6 (2013): 29–46. http://dx.doi.org/10.1109/rbme.2012.2215847.

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Dissertations / Theses on the topic "Biomedical imaging"

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Luo, Yuan. "Novel Biomedical Imaging Systems." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193907.

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The overall purpose of the dissertation is to design and develop novel optical imaging systems that require minimal or no mechanical scanning to reduce the acquisition time for extracting image data from biological tissue samples. Two imaging modalities have been focused upon: a parallel optical coherence tomography (POCT) system and a volume holographic imaging system (VHIS). Optical coherence tomography (OCT) is a coherent imaging technique, which shows great promise in biomedical applications. A POCT system is a novel technology that replaces mechanically transverse scanning in the lateral direction with electronic scanning. This will reduce the time required to acquire image data. In this system an array with multiple reduced diameter (15μm) single mode fibers (SMFs) is required to obtain an image in the transverse direction. Each fiber in the array is configured in an interferometer and is used to image one pixel in the transverse direction. A VHIS is based on volume holographic gratings acting as Bragg filters in conjunction with conventional optical imaging components to form a spatial-spectral imaging system. The high angular selectivity of the VHIS can be used to obtain two-dimensional image information from objects without the need for mechanical scanning. In addition, the high wavelength selectivity of the VHIS can provide spectral information of a specific area of the object that is being observed. Multiple sections of the object are projected using multiplexed holographic gratings in the same volume of the Phenanthrenquinone- (PQ-) doped Poly (methyl methacrylate) (PMMA) recording material.
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Cole, Mary Janet. "Fluorescence lifetime imaging for biomedical applications." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393718.

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Meah, Christopher James. "Developing plenoptic technology for biomedical imaging." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7697/.

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Plenoptic imaging is an exciting research field since, by introducing a microlens array into the optical train of a traditional camera, directional information about incoming light rays is stored on the sensor. Whereas traditional cameras discard this information, plenoptic imaging takes advantage of this increase in angular resolution to provide a method of snapshot 3D capture. With a plenoptic dataset, the ability to extend depth of field and refocus digitally, post-acquisition, is of key benefit to bioluminescence tomography. Due to low light imaging conditions, large apertures are required to capture enough signal from a bioluminescence imaging subject; this causes a shallow depth of field, and when mirrors are introduced into the system to increase subject coverage, managing the system focal planes can be hard. In order to investigate the best uses of plenoptic imaging for biomedical research, a simulation platform was created to allow efficient, flexible, cost effective exploration of system design and algorithm development. This simulation platform was utilised in designing a plenoptic multi-view system, which is applicable to bioluminescence tomography. A correction to the bioluminescence free space model is made which facilitates quantitative imaging. Finally, a plenoptic tomography system is created which allows snapshot, multi-view 3D capture.
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Percival, Sarah Jane. "Functionalised silica nanoparticles for biomedical imaging." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/44837.

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Magnetic resonance imaging is one of the most widely used diagnostic techniques in the clinic as it affords many of the attributes sought from a non-invasive imaging modality. The main limitation of MRI is its inherent insensitivity, and as a result only large-scale abnormalities can be detected from a scan. With an increasing demand for earlier cancer diagnosis there has been a move towards imaging the molecular biomarkers that are present from the beginning of the disease process. This thesis describes the development of highly fluorinated, silica nanoparticles to actively target cancer cells for imaging by 19F MRI. Silica nanoparticles were prepared, and their size optimised for the molecular imaging application. A method was developed to modify the nanoparticles with the highest possible number of surface amine groups. These amine groups were conjugated to fluorinated PEG chains, each containing six equivalent 19F nuclei, and the resulting particles had a high 19F content. To provide the particles with the properties required for a molecular imaging probe, a tenth of the surface bound 19F PEG chains were conjugated to targeting peptides and the remainder were coupled to stabilising ligands. Using quantitative characterisation techniques each modification step was optimised and the exact composition of the nanoparticles was determined. To complement 19F MRI, fluorophores were incorporated into the particles for optical detection as this modality offered an accessible, sensitive and inexpensive alternative. Several samples were prepared which incorporated fluorophores at different positions throughout the nanoparticle structure. Adding the fluorophores to the nanoparticle surface was found to produce the most sensitive optical probe. The final particles were used for in vitro targeting studies to assess their potential as molecular imaging probes. Preliminary in vitro assays demonstrated that these particles selectively targeted cancer cells in the M21 cell line when compared to a control.
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Steuwe, Christian. "Nonlinear photonics in biomedical imaging and plasmonics." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708016.

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Amor, Rumelo. "Nonlinear and interference techniques for biomedical imaging." Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24918.

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Optical microscopy has long been an established tool in the biomedical sciences, being the preferred choice in the study of single cells and tissue sections. The realisation of the confocal laser scanning microscope in the 1980s led to major advances in the way optical microscopy is implemented, paving the way for the use of interference techniques such as 4Pi microscopy to increase the optical resolution, and for nonlinear microscopy techniques such as two-photon microscopy, which allows deeper penetration and the imaging of live specimens as a consequence of reduced photo-bleaching, and coherent anti-Stokes Raman scattering (CARS) microscopy, which produces high-contrast images without the need for fluorescent staining. In this work, I discuss advances in nonlinear and interference techniques available for biomedical imaging. I present a simultaneous near-field and far-field viewer for use in aligning the input beams in a CARS microscope and in a sum-frequency-generation- based two-photon microscope. I show 3D optical sectioning of whole mouse embryos using the Mesolens, a giant microscope objective capable of subcellular resolution in a 5 mm field of view, and present theoretical calculations on its use for two-photon microscopy. I present fast recording of synaptic events in neurones, with reduced photo-bleaching, using widefield two-photon microscopy. Finally, I show multiple super-resolved sections are obtained using a laser scanning standing wave microscope, generating precise contour maps of the surface membrane of red blood cells and revealing 3D information from a single image.
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Fairbairn, Natasha. "Imaging of plasmonic nanoparticles for biomedical applications." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/353976/.

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Plasmonic nanoparticles show potential for numerous different biomedical applications, including diagnostic applications such as targeted labelling and therapeutic applications such as drug delivery and therapeutic hyperthermia. In order to support the development of these applications, imaging techniques are required for imaging and characterising nanoparticles both in isolation and in the cellular environment. The work presented in this thesis relates to the use and development of two different optical techniques for imaging and measuring the localised surface plasmon resonance of plasmonic nanoparticles, both for isolated particles and for particles in a cellular environment. The two techniques that have been used in this project are hyperspectral darkfield microscopy and spatial modulation microscopy. Hyperspectral darkfield microscopy is a darkfield technique in which a supercontinuum light source and an acousto-optic tuneable filter are used to collect darkfield images which include spectral information. This technique has been used to measure the spectra of single nanoparticles of different shapes and sizes, and nanoparticle clusters. The results of some of these measurements have also been correlated with finite element method simulations and transmission electron microscope images. The hyperspectral darkfield technique has also been used to image cells that have been incubated with nanoparticles, demonstrating that this technique may also be used to measure the spectra of nanoparticle clusters on a cellular background. Spatial modulation microscopy is based on fast modulation of the position of a nanoparticle in the focus of an optical beam. This modulation results in a variation in transmitted intensity, which can be detected with very high sensitivity using a lock-in amplifier. Since, for biological imaging applications it is desirable to be able to image, for example whole cells in real time, a fast scanning version of this technique has been implemented, which increases the applicability of the technique to imaging of nanoparticles in cells
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SARWAR, IMRAN. "Microwave Imaging Specialized Hardware for Biomedical Applications." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2734429.

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Cai, Hongmin. "Quality enhancement and segmentation for biomedical images." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39380130.

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Cai, Hongmin, and 蔡宏民. "Quality enhancement and segmentation for biomedical images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39380130.

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Books on the topic "Biomedical imaging"

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Braddock, Martin, ed. Biomedical Imaging. Cambridge: Royal Society of Chemistry, 2011. http://dx.doi.org/10.1039/9781849732918.

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1920-, Hayaishi Osamu, Torizuka Kanji 1926-, and Takeda Science Foundation Symposium on Bioscience (3rd : 1984 : Kyoto, Japan), eds. Biomedical imaging. Tokyo: Academic Press, 1986.

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Osamu, Hayaishi, and Torizuka Kanji 1926-, eds. Biomedical imaging. London: Academic, 1986.

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G, Fujimoto James, and Farkas Daniel L, eds. Biomedical optical imaging. Oxford: Oxford University Press, 2008.

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Bulte, Jeff W. M., and Michel M. J. Modo, eds. Nanoparticles in Biomedical Imaging. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-72027-2.

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Liang, Rongguang, ed. Biomedical Optical Imaging Technologies. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28391-8.

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Paragios, Nikos, James Duncan, and Nicholas Ayache, eds. Handbook of Biomedical Imaging. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-0-387-09749-7.

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A, Robb Richard, ed. Three-dimensional biomedical imaging. Boca Raton, Fla: CRC Press, 1985.

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A, Robb Richard, ed. Three-dimensional biomedical imaging. Boca Raton, Fla: CRC Press, 1985.

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Webb, Andrew R. Introduction to biomedical imaging. Hoboken, New Jersey: Wiley, 2003.

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Book chapters on the topic "Biomedical imaging"

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MacPherson, Emma. "Biomedical Imaging." In Terahertz Spectroscopy and Imaging, 415–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29564-5_16.

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Khosroshahi, Mohammad E. "Biomedical Imaging." In Applications of Biophotonics and Nanobiomaterials in Biomedical Engineering, 405–82. Boca Raton, FL : CRC Press, 2017. | "A Science Publishers book.": CRC Press, 2017. http://dx.doi.org/10.1201/9781315152202-13.

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Konopka, Christian J., Emily L. Konopka, and Lawrence W. Dobrucki. "Biomedical Imaging Molecular Imaging." In Engineering-Medicine, 219–39. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2018] | “A Science Publishers book.”: CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-20.

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Rubin, Daniel L., Hayit Greenspan, and James F. Brinkley. "Biomedical Imaging Informatics." In Biomedical Informatics, 285–327. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_9.

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Rubin, Daniel L., Hayit Greenspan, and Assaf Hoogi. "Biomedical Imaging Informatics." In Biomedical Informatics, 299–362. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58721-5_10.

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Chan, Lawrence S. "Emerging Biomedical Imaging." In Engineering-Medicine, 267–79. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2018] | “A Science Publishers book.”: CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-22.

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Zhou, Xiaohong Joe. "Biomedical Imaging Magnetic Resonance Imaging." In Engineering-Medicine, 219–39. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2018] | “A Science Publishers book.”: CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-19.

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Aoki, Toru, Katsuyuki Takagi, Hiroki Kase, and Akifumi Koike. "X-Ray Semiconductor Imaging Device Technology and Medical-Imaging Application." In Biomedical Engineering, 279–96. New York: Jenny Stanford Publishing, 2021. http://dx.doi.org/10.1201/9781003141945-14.

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Erickson, Bradley, and Robert A. Greenes. "Imaging Systems in Radiology." In Biomedical Informatics, 593–611. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_20.

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Erickson, Bradley J. "Imaging Systems in Radiology." In Biomedical Informatics, 733–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58721-5_22.

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Conference papers on the topic "Biomedical imaging"

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"Biomedical imaging." In 2014 Cairo International Biomedical Engineering Conference (CIBEC). IEEE, 2014. http://dx.doi.org/10.1109/cibec.2014.7020921.

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Schnabel, Julia A. "Biomedical Cancer Imaging Analysis." In 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2012. http://dx.doi.org/10.1109/cbms.2012.6266293.

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Liang, Zhi-pei. "Introduction to biomedical imaging." In 2008 5th International Summer School and Symposium on Medical Devices and Biosensors. IEEE, 2008. http://dx.doi.org/10.1109/issmdbs.2008.4574999.

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Jaeger, M., K. G. Held, H. G. Akarcay, and M. Frenz. "Multimodal biomedical optoacoustic imaging." In CLEO: Applications and Technology. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/cleo_at.2016.ath3n.1.

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Rolland, Jannick P., Alexei A. Goon, Eric Clarkson, and Liyun Yu. "Synthesis of biomedical tissue." In Medical Imaging '98, edited by Harold L. Kundel. SPIE, 1998. http://dx.doi.org/10.1117/12.306179.

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Gilmore, C., and J. LoVetri. "On Fourier imaging techniques for biomedical imaging." In 2006 IEEE Antennas and Propagation Society International Symposium. IEEE, 2006. http://dx.doi.org/10.1109/aps.2006.1710510.

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Lin, Yuting, David A. Thayer, Alex T. Luk, and Gultekin Gulsen. "Photo-Magnetic Imaging: Optical Imaging at MRI resolution." In Biomedical Optics. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/biomed.2012.btu3a.43.

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Hong, Sung-In, Hee-Seung Kim, Kyeong-Min Jeong, and Jae-Hyeung Park. "Three-dimensional blood vessel imaging using integral imaging." In Biomedical Optics. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/biomed.2012.jm3a.60.

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Zhang, Guo-Qiang, Jacek Szymanski, and David Wilson. "Data management integration for biomedical core facilities." In Medical Imaging, edited by Steven C. Horii and Katherine P. Andriole. SPIE, 2007. http://dx.doi.org/10.1117/12.709429.

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Weber, Jessie R., Mike Hsu, Alexander Lin, Darrin Lee, Christopher Owen, Devin K. Binder, David J. Cuccia, et al. "Noncontact imaging of seizures using multispectral spatial frequency domain imaging." In Biomedical Optics. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/biomed.2010.bsud110p.

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Reports on the topic "Biomedical imaging"

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Bernstein, Dr Ira. University of Vermont Center for Biomedical Imaging. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1089300.

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Radparvar, M. Imaging systems for biomedical applications. Final report. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/192410.

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Lin, Weili, and Michael A. Fiddy. Collaborative Initiative in Biomedical Imaging to Study Complex Diseases. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1083312.

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Gilroy, Kyle. High-Speed Imaging in Biomedical Microfluidic Applications: Principles & Overview. Photonics Online, May 2018. http://dx.doi.org/10.31825/wp0001.

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Duncan, Donald D., Jeffrey O. Hollinger, and Steven L. Jacques. Laser-Tissue Interaction XI: Photochemical, Photothermal, and Photomechanical. Progress in Biomedical Optics and Imaging, Volume 1, No. 8. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada383180.

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