Добірка наукової літератури з теми "Blood cell imaging"
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Статті в журналах з теми "Blood cell imaging"
GUZE, BARRY H., RANDALL A. HAWKINS, and CAROL S. MARCUS. "Technetium-99m White Blood Cell Imaging." Clinical Nuclear Medicine 14, no. 2 (February 1989): 104–6. http://dx.doi.org/10.1097/00003072-198902000-00007.
Повний текст джерелаTishko, Tatyana V., Dimitrij Tishko, and Vladimir Titar. "Holographic Method for Blood Cell Imaging." Imaging & Microscopy 11, no. 3 (August 2009): 46–48. http://dx.doi.org/10.1002/imic.200990063.
Повний текст джерелаKURTULDU, Hüseyin, Aynur Didem OKTAN, Hatice CANDAN, and Beste Sahra CİHANGİROĞLU. "Red Blood Cell Analysis by Hyperspectral Imaging." Natural and Applied Sciences Journal 1, no. 2 (December 29, 2018): 1–7. http://dx.doi.org/10.38061/idunas.442490.
Повний текст джерелаMittelbrunn, María, Gloria Martínez del Hoyo, María López-Bravo, Noa B. Martín-Cofreces, Alix Scholer, Stéphanie Hugues, Luc Fetler, Sebastián Amigorena, Carlos Ardavín, and Francisco Sánchez-Madrid. "Imaging of plasmacytoid dendritic cell interactions with T cells." Blood 113, no. 1 (January 1, 2009): 75–84. http://dx.doi.org/10.1182/blood-2008-02-139865.
Повний текст джерелаLoeffler, Dirk, and Timm Schroeder. "Understanding cell fate control by continuous single-cell quantification." Blood 133, no. 13 (March 28, 2019): 1406–14. http://dx.doi.org/10.1182/blood-2018-09-835397.
Повний текст джерелаZhang, Yi-Yi, Jia-Chen Wu, Ran Hao, Shang-Zhong Jin, and Liang-Cai Cao. "Digital holographic microscopy for red blood cell imaging." Acta Physica Sinica 69, no. 16 (2020): 164201. http://dx.doi.org/10.7498/aps.69.20200357.
Повний текст джерелаHanssen, E., C. Knoechel, P. Carlton, J. Sedat, C. Larabell, and L. Tilley. "Whole Cell Imaging of Plasmodium Falciparum Blood Stages." Microscopy and Microanalysis 15, S2 (July 2009): 866–67. http://dx.doi.org/10.1017/s143192760909268x.
Повний текст джерелаDebatin, J�rg F., and Erol M. Beytas. "Indium 111 white blood cell imaging of epididymitis." European Journal of Nuclear Medicine 17, no. 5 (1990): 286–89. http://dx.doi.org/10.1007/bf00812372.
Повний текст джерелаAl-Janabi, M. A., P. J. Maltby, M. Critchley, and K. E. Britton. "5. Radiolabelled white blood cell imaging. Is it a blood pool effect?" Nuclear Medicine Communications 11, no. 12 (December 1990): 890. http://dx.doi.org/10.1097/00006231-199012000-00011.
Повний текст джерелаVynckier, Jan, Jelle Demeestere, and Julie Lambert. "Black-blood Magnetic Resonance Imaging in Giant Cell Arteritis." Journal of Rheumatology 48, no. 2 (February 2021): 301–2. http://dx.doi.org/10.3899/jrheum.190286.
Повний текст джерелаДисертації з теми "Blood cell imaging"
Eilken, Hanna. "Blood Generation from Hemogenic Endothelium Proven by Continuous Single Cell Imaging." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-98438.
Повний текст джерелаLim, Brian. "Modeling ultrasound imaging of red blood cell aggregation in shear flow." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/NQ41213.pdf.
Повний текст джерелаNunez, Munoz Juan Antonio. "Utilising high resolution imaging to interrogate blood vessel and bone cell interactions." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/422899/.
Повний текст джерелаMiller, Brandon Lee. "Quantitative, Multiparameter Analysis of Fluorescently Stained, Negatively Enriched, Peripheral Blood from Cancer Patients." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1386005404.
Повний текст джерелаChen, Miao. "Endothelial Cell-Specific Knockout of Meis1 Protects Ischemic Hindlimb Through Vascular Remodeling." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/96188.
Повний текст джерелаPHD
PILLAI, Vinoshene. "Intravital two photon clcium imaging of glioblastoma mouse models." Doctoral thesis, Scuola Normale Superiore, 2021. http://hdl.handle.net/11384/109211.
Повний текст джерелаChinchilla, Lenin. "Quantitative ultrasound techniques to characterize soft tissue anisotropy." Thesis, Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0154.
Повний текст джерелаQuantitative ultrasound techniques based on the parameterization of the backscatter coefficient (BSC) generally assume that the tissue under investigation is homogeneous and isotropic. However, some tissues such as flowing red blood cell (RBC) aggregates, myocardium or bicep muscles exhibit angle-dependent acoustic properties (BSC and/or attenuation coefficient). The objective of this thesis was to incorporate anisotropy in tissue backscatter analysis. First, an ultrasonic backscattering model is proposed and evaluated numerically to characterize the anisotropic structures of RBC aggregates. Then, an experimental procedure was evaluated to measure BSC anisotropy in tissue-mimicking phantoms. More specifically, a performance comparison is carried out between a capacitive micromachined ultrasonic transducer probe and a commercial piezoelectric probe to measure backscatter anisotropy by using the focused beam steering imaging strategy
Nazerzadeh-Yazdi, Arvin. "Lensless imaging of red blood cells using coherent soft x-ray scattering." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/32151.
Повний текст джерелаScience, Faculty of
Physics and Astronomy, Department of
Graduate
Dhaya, Ibtihel. "Study of the blood-brain interface and glial cells during sepsis-associated encephalopathy : from imaging to histology." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0966/document.
Повний текст джерелаSepsis-associated encephalopathy (SAE) refers to central nervous system dysfunction during the systemic inflammatory response to infection. In septic patients with encephalopathy MRI has indicated both gray and white matter abnormalities that were associated with worse cognitive outcome including delirium. To improve our understanding of sepsis-associated hemodynamic, metabolic, and structural changes, different MRI sequences were performed in rats that either underwent an i.p injection of saline or bacterial lipopolysaccharide (LPS) 2.5h earlier or cecal ligation and puncture (CLP) 24h earlier. After ip LPS, phase contrast MRI was performed to study anterior and middle cerebral arteries flow and Arterial Spin Labeling (ASL) to study perfusion of white and grey matter brain structures. Diffusion Weighted Imaging (DWI) sequences was used to assess structural changes. After CLP surgery, ASL was used to study microcirculation changes. T2-Weighted Imaging, Diffusion Tensor Imaging (DTI) and tract-based spatial statistics (TBSS) were performed to characterize structural events in different brain structures. After imaging, animals were sacrificed and their brains processed for histology to detect the vasoactive prostaglandin-synthesizing enzyme cyclooxygenase-2 (COX-2) and the astrocytic aquaporin-4 water channel (AQP4) the expression of which can be upregulated during inflammation, to assess the presence of perivascular immunoglobulins (Ig) indicating blood-brain barrier (BBB) leakage and to study glia cell morphology as both microglia and astrocytes are known to change their morphology in inflammatory conditions. Magnetic resonance rat brain imaging indicated no hemodynamic changes in the grey matter after ip LPS administration while an increased CBF was shown in corpus callosum white matter as indicated by ASL. DTI indicated increased water diffusion parallel to fibers of the corpus callosum white matter. These changes were accompanied by BBB breakdown in the white matter and adjacent cortical and striatal grey matter as indicated by the perivascular presence of IgG, but no major changes in vascular COX-2 or white matter glia cell morphology. CLP induced sepsis-associated CNS dysfunction resulted in higher T2-weighted contrast intensities in the cortex, striatum and base of the brain, decreased blood perfusion distribution to the cortex and increased water diffusion in the corpus callosum and ventral striatum compared to sham surgery. These changes were associated in the white matter with modifications in glia cells morphology and in the grey matter with lower expression of constitutive COX-2 expression and AQP4 in the cerebral cortex. The comparison between CLP that underwent or not MRI under isoflurane anesthesia indicated reduced inflammatory response as indicated by COX-2 expression, reduced glia activation and reduced BBB damage in CLP that underwent MRI under isoflurane anesthesia. Collectively, our results suggest that hemodynamic changes may occur in the absence of altered flow in forebrain irrigating arteries. Then, altered white matter structure is an early step in SAE pathogenesis that may result either from BBB breakdown or glial cells activation. This study underlies the deleterious effects of a single exposure to isoflurane anesthesia that may be mitigated by a second exposure in sham-operated rats and the effects of CLP-induced systemic inflammation on glial cells that can be attenuated by imaging under isoflurane anesthesia
Mauricio, Claudio Roberto Marquetto. "Contador de células vermelhas baseado em imagens para múltiplas espécies de animais silvestres e domésticos." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2314.
Повний текст джерелаA RBC count plays an important role in the diagnostic of wild and domestic animals. Despite the many technologies available in different automated hematology analyzers, when it comes to blood of wild animals it is still difficult to find an easy and affordable solution for multiple species. This study aims to develop an automatic red blood cell counter. Blood samples (1 ocelot - Leopardus pardalis, 1 monkey - Cebus apella, 1 coati - Nasua nasua, 62 dogs - Canis familiaris and 5 horses - Equus caballus) were analyzed using three methods: 1-manual count, 2automatic count by image and 3-semi-automatic count by image; blood from dogs and horses were also analyzed by a fourth method: 4-automatic count by impedance. The counts of methods 2 and 3 were produced by the proposed red blood cell counter. Results were compared using Pearson’s correlation and plots with different methods as the criterion standard. RBC counts of methods 1, 2 and 3 correlated very well with those on the method 4 (r ≥ 0.94). RBC counts produced by method 2 were highly correlated with method 3 (r = 0.998). The results indicate that the proposed method can be used as an automatic or semi-automatic counting method in clinics that are currently using the manual method for RBC assessment.
Книги з теми "Blood cell imaging"
International Symposium on Radiolabelled Cellular Blood Elements (5th 1989 Vienna, Austria). Radiolabelled cellular blood elements: Proceeding of the 5th International Symposium on Radiolabelled Cellular Blood Elements, held in Vienna, September 10-14, 1989. Edited by Sinzinger H and Thakur M. L. New York: Wiley-Liss, 1990.
Знайти повний текст джерелаH, Sinzinger, and Thakus M. L, eds. R adiolabelled cellular blood elements: Proceedings of the 5th International Symposium on Radiolabelled Cellular Blood Elements, held in Vienna, September 10-14, 1989. New York: Wiley-Liss, 1990.
Знайти повний текст джерелаNATO Advanced Study Institute on Radiolabeled Cellular Blood Elements (1983 Maratea, Italy). Radiolabeled cellular blood elements ; pathophysiology, techniques, and scintigraphic applications. Edited by Thakur M. L, Ezikowitz M. D, Hardeman Max R, and North Atlantic Treaty Organization. Scientific Affairs Division. New York: Plenum, 1985.
Знайти повний текст джерелаJ, Martin-Comin, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Radiolabeled Blood Elements: Recent Advances in Techniques and Applications (1992 : Barcelona, Spain), eds. Radiolabeled blood elements: Recent advances in techniques and applications. New York: Plenum Press, 1994.
Знайти повний текст джерелаRadiolabelled Cell Bld Elem. Plenum Press, 1985.
Знайти повний текст джерелаLim, Brian. Modeling ultrasound imaging of red blood cell aggregation in shear flow. 1999.
Знайти повний текст джерелаvan Hinsbergh, Victor W. M. Physiology of blood vessels. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755777.003.0002.
Повний текст джерелаWilson, John W., and Lynn L. Estes. Osteomyelitis. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199797783.003.0107.
Повний текст джерелаPetzold, Axel. Tissue Biomarkers and Neuroprotection. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0004.
Повний текст джерела(Editor), J. Martin-Comin, M. L. Thakur (Editor), C. Piera (Editor), M. Roca (Editor), and F. Lomena (Editor), eds. Radiolabeled Blood Elements:: Recent Advances in Techniques and Applications (Nato Science Series: A:). Springer, 1994.
Знайти повний текст джерелаЧастини книг з теми "Blood cell imaging"
Hoefnagel, Cornelis A. "Red Blood Cell Imaging with SPECT-CT." In Atlas of SPECT-CT, 187–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15726-4_10.
Повний текст джерелаStewen, Jonas, and Maria Gabriele Bixel. "Intravital Imaging of Blood Flow and HSPC Homing in Bone Marrow Microvessels." In Stem Cell Mobilization, 109–21. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9574-5_9.
Повний текст джерелаPalestro, Christopher J. "Nuclear Medicine Imaging of Osteomyelitis: White Blood Cell, Monoclonal Antibody, or Bacterial Imaging?" In Diagnostic Imaging of Infections and Inflammatory Diseases, 168–86. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118484388.ch10.
Повний текст джерелаZhang, HuaLei, and Rong Zhou. "Noninvasive Imaging of Myocardial Blood Flow Recovery in Response to Stem Cell Intervention." In Imaging and Tracking Stem Cells, 89–99. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/7651_2013_26.
Повний текст джерелаDas, Bhargab, Swati Bansal, Girish C. Mohanta, Sanjit K. Debnath, and Prateek Bhatia. "Fluorescence Imaging-Based System for Performing White Blood Cell Counts." In Springer Proceedings in Physics, 617–20. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9259-1_142.
Повний текст джерелаShi, Jun, and Yin Cai. "Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image." In Machine Learning in Medical Imaging, 235–42. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02267-3_30.
Повний текст джерелаBradbury, Joshua J., Holly E. Lovegrove, Marta Giralt-Pujol, and Shane P. Herbert. "Analysis of mRNA Subcellular Distribution in Collective Cell Migration." In Cell Migration in Three Dimensions, 389–407. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2887-4_22.
Повний текст джерелаZhang, Hongbo, Libo Zeng, Hengyu Ke, Hong Zheng, and Qiongshui Wu. "A Novel Multispectral Imaging Analysis Method for White Blood Cell Detection." In Lecture Notes in Computer Science, 210–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539117_32.
Повний текст джерелаWillis, Colin L. "Imaging In Vivo Astrocyte/Endothelial Cell Interactions at the Blood–Brain Barrier." In Methods in Molecular Biology, 515–29. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-452-0_34.
Повний текст джерелаEke, A. "Imaging of Red Blood Cell and Plasma Dispersion in the Brain Cortex." In Oxygen Transport to Tissue IX, 21–27. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-7433-6_3.
Повний текст джерелаТези доповідей конференцій з теми "Blood cell imaging"
Won, Chee Sun, Jae Yeal Nam, and Yoonsik Choe. "Extraction of leukocyte in a cell image with touching red blood cells." In Electronic Imaging 2005, edited by Edward R. Dougherty, Jaakko T. Astola, and Karen O. Egiazarian. SPIE, 2005. http://dx.doi.org/10.1117/12.593335.
Повний текст джерелаBerge, Heidi, Dale Taylor, Sriram Krishnan, and Tania S. Douglas. "Improved red blood cell counting in thin blood smears." In 2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011). IEEE, 2011. http://dx.doi.org/10.1109/isbi.2011.5872388.
Повний текст джерелаRan, Qiong, Lan Chang, Wei Li, and Xiaofeng Xu. "Spatial-spectral blood cell classification with microscopic hyperspectral imagery." In Optical Spectroscopy and Imaging, edited by Tsutomu Shimura, Mengxia Xie, Bing Zhao, Jin Yu, Zhe Wang, Wei Hang, and Xiandeng Hou. SPIE, 2017. http://dx.doi.org/10.1117/12.2281268.
Повний текст джерелаSheeba, Feminna, Robinson Thamburaj, Joy J. Mammen, Hannah M. Thomas Thevarthundiyil, and Atulya K. Nagar. "White Blood Cell Segmentation and Reversible Watermarking." In Imaging and Signal Processing in Healthcare and Technology. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.737-021.
Повний текст джерелаTheera-Umpon, Nipon, and Paul D. Gader. "Automated white blood cell counting via classification-free granulometric methods." In Electronic Imaging '99, edited by Edward R. Dougherty and Jaakko T. Astola. SPIE, 1999. http://dx.doi.org/10.1117/12.341092.
Повний текст джерелаSu, Ting-Wei, Sungkyu Seo, Anthony Erlinger, and Aydogan Ozcan. "High-Throughput Cell Imaging, Counting and Characterization on a Chip." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-193255.
Повний текст джерелаHoelen, Christoph G., Richard Pongers, G. Hamhuis, Frits F. M. de Mul, and Jan Greve. "Photoacoustic blood cell detection and imaging of blood vessels in phantom tissue." In BiOS Europe '97, edited by Hans-Jochen Foth, Renato Marchesini, Halina Podbielska, and Abraham Katzir. SPIE, 1998. http://dx.doi.org/10.1117/12.297931.
Повний текст джерелаQi, Xin, Rebekah H. Gensure, David J. Foran, and Lin Yang. "Content-based white blood cell retrieval on bright-field pathology images." In SPIE Medical Imaging, edited by Metin N. Gurcan and Anant Madabhushi. SPIE, 2013. http://dx.doi.org/10.1117/12.2006439.
Повний текст джерелаBaghli, Ismahan, Amir Nakib, Elie Sellam, Mourtada Benazzouz, Amine Chikh, and Eric Petit. "Hybrid framework based on evidence theory for blood cell image segmentation." In SPIE Medical Imaging, edited by Robert C. Molthen and John B. Weaver. SPIE, 2014. http://dx.doi.org/10.1117/12.2042142.
Повний текст джерелаDavies, Heather S., Natalia S. Baranova, Nouha El Amri, Liliane Coche-Guérente, Claude Verdier, Lionel Bureau, Ralf P. Richter, and Delphine Débarre. "Blood cell - vessel wall interactions probed by reflection interference contrast microscopy." In Advances in Microscopic Imaging, edited by Francesco S. Pavone, Emmanuel Beaurepaire, and Peter T. So. SPIE, 2019. http://dx.doi.org/10.1117/12.2527058.
Повний текст джерелаЗвіти організацій з теми "Blood cell imaging"
Deng, Chun, Zhenyu Zhang, Zhi Guo, Hengduo Qi, Yang Liu, Haimin Xiao, and Xiaojun Li. Assessment of intraoperative use of indocyanine green fluorescence imaging on the number of lymph node dissection during minimally invasive gastrectomy: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2021. http://dx.doi.org/10.37766/inplasy2021.11.0062.
Повний текст джерела