Academic literature on the topic 'High throughput imaging'
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Journal articles on the topic "High throughput imaging"
Knott, G., D. Wall, and B. Lich. "High-Throughput 3D Cellular Imaging." Microscopy and Microanalysis 15, S2 (July 2009): 934–35. http://dx.doi.org/10.1017/s1431927609097037.
Full textGolding, Stephen J. "High-throughput magnetic resonance imaging." Academic Radiology 3 (April 1996): S53. http://dx.doi.org/10.1016/s1076-6332(96)80483-1.
Full textEnderlein, Jörg. "Single-molecule imaging goes high throughput." Nature Nanotechnology 15, no. 6 (April 20, 2020): 419–20. http://dx.doi.org/10.1038/s41565-020-0676-7.
Full textSu, Justin, Liang Xu, Derek Tseng, and Aydogan Ozcan. "High-throughput 3D imaging of sperm." Molecular Reproduction and Development 80, no. 4 (March 13, 2013): 243. http://dx.doi.org/10.1002/mrd.22159.
Full textStavrakis, Stavros, Gregor Holzner, Jaebum Choo, and Andrew deMello. "High-throughput microfluidic imaging flow cytometry." Current Opinion in Biotechnology 55 (February 2019): 36–43. http://dx.doi.org/10.1016/j.copbio.2018.08.002.
Full textOgata, Koretsugu. "High Throughput MALDI MS Imaging Using Imaging Mass Microscope." Journal of the Mass Spectrometry Society of Japan 69, no. 5 (October 1, 2021): 145–46. http://dx.doi.org/10.5702/massspec.s21-28.
Full textMcDonnell, Liam A., Alexandra van Remoortere, René J. M. van Zeijl, Hans Dalebout, Marco R. Bladergroen, and André M. Deelder. "Automated imaging MS: Toward high throughput imaging mass spectrometry." Journal of Proteomics 73, no. 6 (April 2010): 1279–82. http://dx.doi.org/10.1016/j.jprot.2009.10.011.
Full textBrown, V. M. "High-Throughput Imaging of Brain Gene Expression." Genome Research 12, no. 2 (February 1, 2002): 244–54. http://dx.doi.org/10.1101/gr.204102.
Full textAhmed, Wamiq M., Arif Ghafoor, and J. Paul Robinson. "Knowledge Extraction for High-Throughput Biological Imaging." IEEE Multimedia 14, no. 4 (October 2007): 52–62. http://dx.doi.org/10.1109/mmul.2007.77.
Full textGibbs, Phillip R., Christian S. Uehara, Peter T. Nguyen, and Richard C. Willson. "Imaging Polarimetry for High Throughput Chiral Screening." Biotechnology Progress 19, no. 4 (September 5, 2008): 1329–34. http://dx.doi.org/10.1021/bp025729l.
Full textDissertations / Theses on the topic "High throughput imaging"
Velasco, J. Cabello. "High throughput digital autoradiography imaging." Thesis, University of Surrey, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510588.
Full textCabello, Velasco J. "High throughput digital beta autoradiography imaging." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/844626/.
Full textRock, Reza M. "An Imaging Ammeter for High Throughput Electrochemical Research." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/235.
Full textCao, Hongfei. "High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems." Thesis, University of Missouri - Columbia, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13877134.
Full textVisual knowledge plays an important role in many highly skilled applications, such as medical diagnosis, geospatial image analysis and pathology diagnosis. Medical practitioners are able to interpret and reason about diagnostic images based on not only primitive-level image features such as color, texture, and spatial distribution but also their experience and tacit knowledge which are seldom articulated explicitly. This reasoning process is dynamic and closely related to real-time human cognition. Due to a lack of visual knowledge management and sharing tools, it is difficult to capture and transfer such tacit and hard-won expertise to novices. Moreover, many mission-critical applications require the ability to process such tacit visual knowledge in real time. Precisely how to index this visual knowledge computationally and systematically still poses a challenge to the computing community.
My dissertation research results in novel computational approaches for highthroughput visual knowledge analysis and retrieval from large-scale databases using latest technologies in big data ecosystems. To provide a better understanding of visual reasoning, human gaze patterns are qualitatively measured spatially and temporally to model observers’ cognitive process. These gaze patterns are then indexed in a NoSQL distributed database as a visual knowledge repository, which is accessed using various unique retrieval methods developed through this dissertation work. To provide meaningful retrievals in real time, deep-learning methods for automatic annotation of visual activities and streaming similarity comparisons are developed under a gaze-streaming framework using Apache Spark.
This research has several potential applications that offer a broader impact among the scientific community and in the practical world. First, the proposed framework can be adapted for different domains, such as fine arts, life sciences, etc. with minimal effort to capture human reasoning processes. Second, with its real-time visual knowledge search function, this framework can be used for training novices in the interpretation of domain images, by helping them learn experts’ reasoning processes. Third, by helping researchers to understand human visual reasoning, it may shed light on human semantics modeling. Finally, integrating reasoning process with multimedia data, future retrieval of media could embed human perceptual reasoning for database search beyond traditional content-based media retrievals.
Enfield, Alexander. "Investigation of the high-throughput analytical performance of an FPA-FTIR imaging system." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95201.
Full textL'imagerie par spectroscopie IRTF dans la matrice plane focale (MPF) offre des niveaux de résolution spatiale sans précédent des informations chimique dans le domaine spatial pour une analyse des échantillons à l'échelle du micromètre. L'étude actuelle examine l'ensemble des applications de la spectroscopie IRTF (MPF) avec l'utilisation d'un système micro-fluidique multicanaux de transmission de cellules conçut sur mesure comme une approche potentielle d'une analyse quantitative des échantillons liquides à haut débit. Des descriptions statistiques sont fournies selon la répartition des réponses parmi ces éléments individuels du détecteur. La réponse des éléments individuels du détecteur dans la MPF a été démontrée comme étant reproductible dans des unités de milli absorbance et ainsi, la plus importante variabilité de réponse à travers l'ensemble est due aux problèmes de non conformité associés à la MPF. La moyenne des réponses des éléments du détecteur sur lesquels les résultats de chaque canal est imagées dans de bonne reproductibilité inter-canal et ainsi compense de manière satisfaisante la non-uniformité des pixels. Les expériences qui prouvent ce concept impliquant des mesures analytiques sur quatre échantillons visualisés simultanément avec la conception actuel des cellules sont présentées.
De, Meutter Joëlle. "Infrared imaging of protein microarrays for high throughput, label-free protein structure evaluation." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/326640/4/Thesis.pdf.
Full textDans le domaine de la recherche sur les protéines et de l'industrie pharmaceutique, il s’avère désormais nécessaire d'effectuer des mesures de la structure secondaire des protéines sur de nombreux échantillons simultanément, de cribler des molécules qui stabilisent les protéines, ou d'évaluer l'action de multiples conditions environnementales. Dans ce contexte, nous avons proposé une nouvelle approche pour évaluer la structure secondaire des protéines à très grande échelle (environ 2 000 à 4 000 échantillons / cm2), en associant l'imagerie infrarouge et l'impression 2D de damiers de protéines. Dans un premier temps, des méthodes d'automatisation de l'extraction des spectres d'intérêt à partir des images infrarouges des damiers et d'automatisation des spectres ont été développées. L'estimation de la structure secondaire à partir des spectres infrarouges étant basée sur la construction de modèles de prédiction à partir de méthodes chimiométriques, un ensemble pertinent de protéines pour l'étape de calibration était obligatoire. Une banque de protéines constituée de 92 protéines disponibles dans le commerce, dont la structure était bien caractérisée par cristallographie aux rayons X, a été constituée dans ce but. Après élaboration des modèles prédictifs de la structure secondaire et la validation de l'approche des damiers de protéines, nous avons tenté d'optimiser les modèles pour améliorer les prédictions de structure secondaire par différentes approches. D'autre part, traiter des protéines présentant une structure jamais rencontrée dans les structures natives de notre bibliothèque de protéines de référence constituait un défi. Nous avons saisi l'opportunité d'analyser les modifications structurales d'un sous-ensemble de notre bibliothèque de protéines, caractérisé par un contenu structurel secondaire très différent en le soumettant à des conditions de dénaturation modérées La méthode de résolution de courbes multivariées des moindres carrés alternés (MCR-ALS) a été utilisée pour modéliser une nouvelle composante spectrale apparaissant dans l'ensemble protéique soumis à des conditions dénaturantes, et a permis de révéler un marqueur spectroscopique potentiel d'agrégation protéique permettant une évaluation semi-quantitative de son contenu. Alors que l’évaluation de la structure secondaire a été bien établie dans la première partie de ce travail, la structure tertiaire et la stabilité sont également critiques. L'échange hydrogène / deutérium (HDX) est une approche potentielle pour l’étude de la structure et de la dynamique des protéines. Dans la dernière partie de ce travail, nous avons construit un dispositif qui a permis de suivre la cinétique d’échange HDX simultanément sur l'ensemble d’un damier. En conclusion, l'imagerie FTIR de damiers de protéines ouvre la porte à une analyse à haut débit de la structure secondaire des protéines et permettrait de mieux comprendre la structure et la dynamique tridimensionnelles grâce à l'enregistrement des courbes HDX.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Mathew, Mark. "High throughput imaging for anthelmintic discovery and Caenorhabditis elegans genetic tools for target elucidation." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/56407.
Full textPharmaceutical Sciences, Faculty of
Graduate
Wong, Tsz-wai Terence, and 黃子維. "Optical time-stretch microscopy: a new tool for ultrafast and high-throughput cell imaging." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B5066234X.
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Electrical and Electronic Engineering
Master
Master of Philosophy
Chung, Kwanghun. "Automated and integrated microsystems for highthroughput and high-resolution imaging, sorting, and laser ablation of C. elegans." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37163.
Full textRobertson, Stuart. "The characterisation of the high throughput imaging Echelle spectrograph and investigations of hydrogen Balmer β emission over Svalbard." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433955.
Full textBooks on the topic "High throughput imaging"
A, Ravishankar Rao, and Cecchi Guillermo A, eds. High-throughput image reconstruction and analysis. Norwood, MA: Artech House, 2009.
Find full textBhunia, Arun K., Moon S. Kim, and Chris R. Taitt. High Throughput Screening for Food Safety Assessment: Biosensor Technologies, Hyperspectral Imaging and Practical Applications. Elsevier Science & Technology, 2014.
Find full textBhunia, A. K., M. S. Kim, and C. R. Taitt. High Throughput Screening for Food Safety Assessment: Biosensor Technologies, Hyperspectral Imaging and Practical Applications. Elsevier Science & Technology, 2014.
Find full textBhunia, Arun K., Moon S. Kim, and Chris R. Taitt. High Throughput Screening for Food Safety Assessment: Biosensor Technologies, Hyperspectral Imaging and Practical Applications. Woodhead Publishing, 2016.
Find full textClebone, Anna, Joshua H. Finkle, Barbara K. Burian, Keith J. Ruskin, and Barbara K. Burian, eds. Ultrasound Guided Procedures and Radiologic Imaging for Pediatric Anesthesiologists. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190081416.001.0001.
Full textBergoffen, Debra. The Question of the Subject and the Matter of Violence. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190275594.003.0008.
Full textDickason, Kathryn. Ringleaders of Redemption. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197527276.001.0001.
Full textTorgerson,, Paul R., C. N. L. Macpherson, and D. A. Vuitton. Cystic echinococcosis. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198570028.003.0060.
Full textBook chapters on the topic "High throughput imaging"
Lasko, Steven S., Reed J. Hendershot, Yu Fu, Mark-Florian Fellmann, Gudbjorg Oskarsdottir, Christopher M. Snively, and Jochen Lauterbach. "Spectroscopic Imaging in the Mid-Infrared Applied to High-Throughput Studies of Supported Catalyst Libraries." In High-Throughput Analysis, 77–91. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8989-5_5.
Full textMontero Llopis, Paula, Ryan Stephansky, and Xindan Wang. "High-Throughput Imaging of Bacillus subtilis." In Methods in Molecular Biology, 277–92. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2221-6_19.
Full textPan, Liang. "Plasmonic Lenses for High-Throughput Nanolithography." In Plasmonics and Super-Resolution Imaging, 333–59. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.4324/9781315206530-11.
Full textJokela, Tiina A., Michael E. Todhunter, and Mark A. LaBarge. "High-Throughput Microenvironment Microarray (MEMA) High-Resolution Imaging." In Methods in Molecular Biology, 47–64. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1811-0_4.
Full textGradl, Gabriele, Chris Hinnah, Achim Kirsch, Jürgen Müller, Dana Nojima, and Julian Wölcke. "High-Throughput/High-Content Automated Image Acquisition and Analysis." In Imaging Cellular and Molecular Biological Functions, 385–405. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71331-9_14.
Full textIyer-Pascuzzi, Anjali S., Paul R. Zurek, and Philip N. Benfey. "High-Throughput, Noninvasive Imaging of Root Systems." In Methods in Molecular Biology, 177–87. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-221-6_11.
Full textBeck, Martina, Ji Zhou, Christine Faulkner, and Silke Robatzek. "High-Throughput Imaging of Plant Immune Responses." In Methods in Molecular Biology, 67–80. Totowa, NJ: Humana Press, 2014. http://dx.doi.org/10.1007/978-1-62703-986-4_5.
Full textZhou, Jing, Chin Nee Vong, and Jianfeng Zhou. "Imaging Technology for High-Throughput Plant Phenotyping." In Sensing, Data Managing, and Control Technologies for Agricultural Systems, 75–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03834-1_4.
Full textHerpers, Bram, and Bob van de Water. "High Content Imaging-Based Screening for Cellular Toxicity Pathways." In High-Throughput Screening Methods in Toxicity Testing, 143–57. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118538203.ch7.
Full textWilliams, Dominic, Matt Aitkenhead, Alison J. Karley, Julie Graham, and Hamlyn G. Jones. "Use of Imaging Technologies for High Throughput Phenotyping." In Raspberry, 145–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99031-6_9.
Full textConference papers on the topic "High throughput imaging"
Pisani, M., P. Bianco, and M. Zucco. "High throughput, compact imaging spectrometer." In International Conference on Space Optics 2010, edited by Naoto Kadowaki. SPIE, 2017. http://dx.doi.org/10.1117/12.2309244.
Full textChoi, Heejin, Jaehun Cho, Taeyun Ku, and Kwanghun Chung. "High Throughput Multiscale Brain Imaging." In Bio-Optics: Design and Application. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/boda.2017.jtu4a.12.
Full textWu, Jiahua, Junyu Dong, and Huiyu Zhou. "Image quantification of high-throughput tissue microarray." In Medical Imaging, edited by Armando Manduca and Amir A. Amini. SPIE, 2006. http://dx.doi.org/10.1117/12.653564.
Full textScarcelli, Giuliano. "Towards high-throughput Brillouin microscopy." In High-Speed Biomedical Imaging and Spectroscopy VII, edited by Keisuke Goda and Kevin K. Tsia. SPIE, 2022. http://dx.doi.org/10.1117/12.2610987.
Full textSo, Peter T. C. "High Throughput Tissue Imaging and Bioinformatics." In Biomedical Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/biomed.2008.btua1.
Full textTian, Lei. "Computational high-throughput microscopy using coded illumination." In Mathematics in Imaging. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/math.2017.mw3c.4.
Full textHaefner, David P., Stephen D. Burks, and Joshua M. Doe. "High throughput thermal camera characterization." In Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXII, edited by Gerald C. Holst and David P. Haefner. SPIE, 2021. http://dx.doi.org/10.1117/12.2586515.
Full textGeerts, Stan J. C., Dion Cornelissen, and Peter H. N. de With. "Embedded image enhancement for high-throughput cameras." In IS&T/SPIE Electronic Imaging, edited by Robert P. Loce and Eli Saber. SPIE, 2014. http://dx.doi.org/10.1117/12.2036966.
Full textSchonbrun, Ethan. "Diffractive Optics for High-throughput Screening." In Applied Industrial Optics: Spectroscopy, Imaging and Metrology. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/aio.2011.aituc3.
Full textMahjoubfar, A., C. Chen, K. R. Niazi, S. Rabizadeh, and B. Jalali. "Label-free high-throughput imaging flow cytometry." In SPIE LASE, edited by Alexander Heisterkamp, Peter R. Herman, Michel Meunier, and Stefan Nolte. SPIE, 2014. http://dx.doi.org/10.1117/12.2040881.
Full textReports on the topic "High throughput imaging"
Sharp, Zelton D. Quantifying ER Function Using High-Throughput Imaging in Breast and Other Cancer Cells. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada502583.
Full textScanlan, E. J., M. Leybourne, D. Layton-Matthews, A. Voinot, and N. van Wagoner. Alkaline magmatism in the Selwyn Basin, Yukon: relationship to SEDEX mineralization. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328994.
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