Relevant bibliographies by topics / PLM for biomedical imaging

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

Academic literature on the topic 'PLM for biomedical imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "PLM for biomedical imaging"

1

Pham, Cong Cuong, Alexandre Durupt, Nada Matta, and Benoit Eynaard. "Visual Ontology-Based Query Approach for Data Access in Heterogeneous Expertise Environment: Application in PLM Biomedical Imaging." Computer-Aided Design and Applications 17, no. 2 (2019): 226–48. http://dx.doi.org/10.14733/cadaps.2020.226-248.

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Avşar Aydın, Emine, and Ahmet Refah Torun. "3D printed PLA/copper bowtie antenna for biomedical imaging applications." Physical and Engineering Sciences in Medicine 43, no. 4 (2020): 1183–93. http://dx.doi.org/10.1007/s13246-020-00922-y.

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Nguyen, Thanh Phuoc, Van Tu Nguyen, Sudip Mondal, et al. "Improved Depth-of-Field Photoacoustic Microscopy with a Multifocal Point Transducer for Biomedical Imaging." Sensors 20, no. 7 (2020): 2020. http://dx.doi.org/10.3390/s20072020.

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In this study, a photoacoustic microscopy (PAM) system based on a multifocal point (MFP) transducer was fabricated to produce a large depth-of-field tissue image. The customized MFP transducer has seven focal points, distributed along with the transducer’s axis, fabricated by separate spherically-focused surfaces. These surfaces generate distinct focal zones that are overlapped to extend the depth-of-field. This design allows extending the focal zone of 10 mm for the 11 MHz MFP transducer, which is a great improvement over the 0.48 mm focal zone of the 11 MHz single focal point (SFP) transduce
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Seong, Daewoon, Sangyeob Han, Jaeyul Lee, et al. "Waterproof Galvanometer Scanner-Based Handheld Photoacoustic Microscopy Probe for Wide-Field Vasculature Imaging In Vivo." Photonics 8, no. 8 (2021): 305. http://dx.doi.org/10.3390/photonics8080305.

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Photoacoustic imaging (PAI) is a hybrid non-invasive imaging technique used to merge high optical contrast and high acoustic resolution in deep tissue. PAI has been extensively developed by utilizing its advantages that include deep imaging depth, high resolution, and label-free imaging. As a representative implementation of PAI, photoacoustic microscopy (PAM) has been used in preclinical and clinical studies for its micron-scale spatial resolution capability with high optical absorption contrast. Several handheld and portable PAM systems have been developed that improve its applicability to s
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Xu, Zhiqiang, Yiming Wang, Naidi Sun, Zhengying Li, Song Hu, and Quan Liu. "Parallel Computing for Quantitative Blood Flow Imaging in Photoacoustic Microscopy." Sensors 19, no. 18 (2019): 4000. http://dx.doi.org/10.3390/s19184000.

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Photoacoustic microscopy (PAM) is an emerging biomedical imaging technology capable of quantitative measurement of the microvascular blood flow by correlation analysis. However, the computational cost is high, limiting its applications. Here, we report a parallel computation design based on graphics processing unit (GPU) for high-speed quantification of blood flow in PAM. Two strategies were utilized to improve the computational efficiency. First, the correlation method in the algorithm was optimized to avoid redundant computation and a parallel computing structure was designed. Second, the pa
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Nguyen, Van Phuc, Yanxiu Li, Jessica Henry, Wei Zhang, Xueding Wang, and Yannis M. Paulus. "High Resolution Multimodal Photoacoustic Microscopy and Optical Coherence Tomography Visualization of Choroidal Vascular Occlusion." International Journal of Molecular Sciences 21, no. 18 (2020): 6508. http://dx.doi.org/10.3390/ijms21186508.

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Photoacoustic microscopy is a novel, non-ionizing, non-invasive imaging technology that evaluates tissue absorption of short-pulsed light through the sound waves emitted by the tissue and has numerous biomedical applications. In this study, a custom-built multimodal imaging system, including photoacoustic microscopy (PAM) and optical coherence tomography (OCT), has been developed to evaluate choroidal vascular occlusion (CVO). CVO was performed on three living rabbits using laser photocoagulation. Longitudinal imaging of CVO was obtained using multiple imaging tools such as color fundus photog
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WU, YONGBO, ZHILIE TANG, YAN CHI, and LIRU WU. "A SIMULTANEOUS MULTI-PROBE DETECTION LABEL-FREE OPTICAL-RESOLUTION PHOTOACOUSTIC MICROSCOPY TECHNIQUE BASED ON MICROCAVITY TRANSDUCER." Journal of Innovative Optical Health Sciences 06, no. 03 (2013): 1350027. http://dx.doi.org/10.1142/s1793545813500272.

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We demonstrate the feasibility of simultaneous multi-probe detection for an optical-resolution photoacoustic microscopy (OR-PAM) system. OR-PAM has elicited the attention of biomedical imaging researchers because of its optical absorption contrast and high spatial resolution with great imaging depth. OR-PAM allows label-free and noninvasive imaging by maximizing the optical absorption of endogenous biomolecules. However, given the inadequate absorption of some biomolecules, detection sensitivity at the same incident intensity requires improvement. In this study, a modulated continuous wave wit
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Lin, Liang, Jin, and Wang. "Dual-Polarized Fiber Laser Sensor for Photoacoustic Microscopy." Sensors 19, no. 21 (2019): 4632. http://dx.doi.org/10.3390/s19214632.

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Optical resolution photoacoustic microscopy (OR-PAM) provides high-resolution, label-free and non-invasive functional imaging for broad biomedical applications. Dual-polarized fiber laser sensors have high sensitivity, low noise, a miniature size, and excellent stability; thus, they have been used in acoustic detection in OR-PAM. Here, we review recent progress in fiber-laser-based ultrasound sensors for photoacoustic microscopy, especially the dual-polarized fiber laser sensor with high sensitivity. The principle, characterization and sensitivity optimization of this type of sensor are presen
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Awada, Hussein, Saad Sene, Danielle Laurencin, et al. "Long-term in vivo performances of polylactide/iron oxide nanoparticles core–shell fibrous nanocomposites as MRI-visible magneto-scaffolds." Biomaterials Science 9, no. 18 (2021): 6203–13. http://dx.doi.org/10.1039/d1bm00186h.

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Core–shell PLA@SPIONs nanocomposites with a monolayer of SPIONs anchored at the surface of PLA nanofibers are proposed as magneto-scaffolds. Their magnetic resonance imaging properties and tissue integration are studied over 6 months in a rat model.
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Mangat, Amarveer Singh, and Sunpreet Singh. "Characterization of natural fibre-embedded biodegradable porous structures prepared with fused deposition process." Journal of Thermoplastic Composite Materials 32, no. 6 (2018): 761–77. http://dx.doi.org/10.1177/0892705718780185.

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Additive manufacturing (AM), also known as three-dimensional printing, is an emerging technology that has revolutionized various sectors, including, manufacturing, construction and medical. Specifically in the medical sector, this technology has brought tremendous process as with its aid customized, porous and controlled geometries are easily producible through the integration of magnetic resonance imaging or computed tomography scan like imaging techniques. Till date, a wide variety of commercial and in-house developed biomaterials have been successfully used in biomedical and tissue engineer
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Dissertations / Theses on the topic "PLM for biomedical imaging"

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Liu, Xiaojing. "Optical Coherence Photoacoustic Microscopy (OC-PAM) for Multimodal Imaging." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3189.

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Optical coherence tomography (OCT) and Photoacoustic microscopy (PAM) are two noninvasive, high-resolution, three-dimensional, biomedical imaging modalities based on different contrast mechanisms. OCT detects the light backscattered from a biological sample either in the time or spectral domain using an interferometer to form an image. PAM is sensitive to optical absorption by detecting the light-induced acoustic waves to form an image. Due to their complementary contrast mechanisms, OCT and PAM are suitable for being combined to achieve multimodal imaging. In this dissertation, an optical coh
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Pham, Cong Cuong. "Multi-utilisation de données complexes et hétérogènes : application au domaine du PLM pour l’imagerie biomédicale." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2365/document.

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L’émergence des technologies de l’information et de la communication (TIC) au début des années 1990, notamment internet, a permis de produire facilement des données et de les diffuser au reste du monde. L’essor des bases de données, le développement des outils applicatifs et la réduction des coûts de stockage ont conduit à l’augmentation quasi exponentielle des quantités de données au sein de l’entreprise. Plus les données sont volumineuses, plus la quantité d’interrelations entre données augmente. Le grand nombre de corrélations (visibles ou cachées) entre données rend les données plus entrel
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Huo, Donglai. "Quantitative Image Quality Evaluation of Fast Magnetic Resonance Imaging." Case Western Reserve University School of Graduate Studies / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=case1155913518.

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Miao, Jun. "Optimization of Fast MR Imaging Technologies using the Case-PDM to Quantitatively Assess Image Quality." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1346966179.

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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
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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
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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 cell
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Huang, Jiwei. "Multispectral Imaging of Skin Oxygenation." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1356637098.

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McPheeters, Matthew Thomas. "Imaging Corneal Nerve Activity." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1626615737894263.

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Books on the topic "PLM for biomedical imaging"

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

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

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Webb, Andrew R. Introduction to biomedical imaging. Wiley, 2003.

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

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Bulte, Jeff W. M., and Michel M. J. Modo, eds. Nanoparticles in Biomedical Imaging. 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. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28391-8.

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Biomedical imaging, visualization, and analysis. Wiley-Liss, 2000.

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Salzer, Reiner. Biomedical imaging: Principles and applications. John Wiley & Sons, 2012.

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Suzuki, Kenji, ed. Computational Intelligence in Biomedical Imaging. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7245-2.

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Yin, Xiaoxia, Brian W. H. Ng, and Derek Abbott. Terahertz Imaging for Biomedical Applications. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1821-4.

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Book chapters on the topic "PLM for biomedical imaging"

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MacPherson, Emma. "Biomedical Imaging." In Terahertz Spectroscopy and Imaging. 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. 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. 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. 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. 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. 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. CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-19.

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Erickson, Bradley, and Robert A. Greenes. "Imaging Systems in Radiology." In Biomedical Informatics. 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. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58721-5_22.

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Rehman, Shakil, and Colin J. R. Sheppard. "Multiphoton Imaging." In Biomedical Optical Imaging Technologies. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28391-8_7.

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Conference papers on the topic "PLM for biomedical imaging"

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Xia, Yang. "Imaging the Depth-Dependent Anisotropies in Articular Cartilage by Multidisciplinary Microscopies (μMRI, PLM, FTIRI)." In 2007 1st International Conference on Bioinformatics and Biomedical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icbbe.2007.195.

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Sen, Rajannya, Alexander Zhdanov, Liisa M. Hirvonen, et al. "A new macro-imager based on Tpx3Cam optical camera for PLIM applications." In Biomedical Spectroscopy, Microscopy, and Imaging, edited by Jürgen Popp and Csilla Gergely. SPIE, 2020. http://dx.doi.org/10.1117/12.2555387.

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Talat, Didar, and Albert Guvenis. "Artificial neural network based positioning algorithm for PEM imaging." In 2009 14th National Biomedical Engineering Meeting. IEEE, 2009. http://dx.doi.org/10.1109/biyomut.2009.5130273.

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Bi, Renzhe, Ghayathri Balasundaram, Dinish U.S., et al. "Functional vascular imaging by Photoacoustic Microscopy (PAM) and its biomedical application." In Optical Biopsy XVII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Stavros G. Demos, and Angela B. Seddon. SPIE, 2019. http://dx.doi.org/10.1117/12.2507355.

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Talat, Didar, and Albert Guvenis. "Comparison of event positioning algorithms for PEM imaging." In 2010 15th National Biomedical Engineering Meeting (BIYOMUT 2010). IEEE, 2010. http://dx.doi.org/10.1109/biyomut.2010.5479785.

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Teraphongphom, Nutte, Peter Chhour, John R. Eisenbrey, et al. "Multimodal imaging: Nanocrystal loaded PLA-shelled contrast agents." In 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC). IEEE, 2015. http://dx.doi.org/10.1109/nebec.2015.7117202.

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Heijblom, Michelle, Daniele Piras, Ellen Ten Tije, et al. "Breast imaging using the Twente Photoacoustic Mammoscope (PAM): new clinical measurements." In European Conference on Biomedical Optics. OSA, 2011. http://dx.doi.org/10.1364/ecbo.2011.80870n.

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Heijblom, Michelle, Daniele Piras, Ellen Ten Tije, et al. "Breast imaging using the Twente photoacoustic mammoscope (PAM): new clinical measurements." In European Conferences on Biomedical Optics, edited by Nirmala Ramanujam and Jürgen Popp. SPIE, 2011. http://dx.doi.org/10.1117/12.889664.

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Nuster, Robert, and Guenther Paltauf. "Fast photoacoustic imaging with a line scanning optical-acoustical resolution photoacoustic microscope (LS-OAR-PAM)." In European Conference on Biomedical Optics. OSA, 2015. http://dx.doi.org/10.1364/ecbo.2015.95390s.

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Nuster, Robert, and Guenther Paltauf. "Fast photoacoustic imaging with a line scanning optical-acoustical resolution photoacoustic microscope (LS-OAR-PAM)." In European Conferences on Biomedical Optics, edited by Vasilis Ntziachristos and Roger Zemp. SPIE, 2015. http://dx.doi.org/10.1117/12.2183743.

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Reports on the topic "PLM for biomedical imaging"

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Bernstein, Dr Ira. University of Vermont Center for Biomedical Imaging. Office of Scientific and Technical Information (OSTI), 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), 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), 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, 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. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383180.

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