Relevant bibliographies by topics / High Content Imaging Analysis

Academic literature on the topic 'High Content Imaging Analysis'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "High Content Imaging Analysis"

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McGee, J. "High-Content Screening: Imaging, Analysis, and Application." Journal of Biomolecular Screening 16, no. 5 (June 2011): 557–59. http://dx.doi.org/10.1177/1087057111409683.

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Hart, Charles. "High-Content Screening, Imaging, Analysis, and Application." Journal of Biomolecular Screening 17, no. 7 (July 11, 2012): 999–1001. http://dx.doi.org/10.1177/1087057112451013.

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Mattheakis, Larry. "High-Content Screening: Imaging, Analysis, and Applications." Journal of Biomolecular Screening 18, no. 7 (July 23, 2013): 845–47. http://dx.doi.org/10.1177/1087057113491048.

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Hart, Charles. "High-Content Screening, Imaging, Analysis, and Applications." Journal of Biomolecular Screening 19, no. 2 (January 16, 2014): 331–32. http://dx.doi.org/10.1177/1087057113514939.

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Jiang, Xiaoqi, Steven Wink, Bob van de Water, and Annette Kopp-Schneider. "Functional analysis of high-content high-throughput imaging data." Journal of Applied Statistics 44, no. 11 (September 30, 2016): 1903–19. http://dx.doi.org/10.1080/02664763.2016.1238048.

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Truong, Thai V., and Willy Supatto. "Toward high-content/high-throughput imaging and analysis of embryonic morphogenesis." genesis 49, no. 7 (June 24, 2011): 555–69. http://dx.doi.org/10.1002/dvg.20760.

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Shariff, Aabid, Joshua Kangas, Luis Pedro Coelho, Shannon Quinn, and Robert F. Murphy. "Automated Image Analysis for High-Content Screening and Analysis." Journal of Biomolecular Screening 15, no. 7 (May 20, 2010): 726–34. http://dx.doi.org/10.1177/1087057110370894.

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The field of high-content screening and analysis consists of a set of methodologies for automated discovery in cell biology and drug development using large amounts of image data. In most cases, imaging is carried out by automated microscopes, often assisted by automated liquid handling and cell culture. Image processing, computer vision, and machine learning are used to automatically process high-dimensional image data into meaningful cell biological results. The key is creating automated analysis pipelines typically consisting of 4 basic steps: (1) image processing (normalization, segmentation, tracing, tracking), (2) spatial transformation to bring images to a common reference frame (registration), (3) computation of image features, and (4) machine learning for modeling and interpretation of data. An overview of these image analysis tools is presented here, along with brief descriptions of a few applications.
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Huang, Shuguang. "Statistical Issues in Subpopulation Analysis of High Content Imaging Data." Journal of Computational Biology 17, no. 7 (July 2010): 879–94. http://dx.doi.org/10.1089/cmb.2009.0071.

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Micalessi, Maria Isabel, Gaëlle Boulet, Isabel Pintelon, Peter Verstraelen, Frans Nauwelaers, Martin Ryser, and Johannes Bogers. "High-Content Imaging in Cervical Cancer Screening." Journal of Biomolecular Screening 18, no. 1 (September 12, 2012): 135–42. http://dx.doi.org/10.1177/1087057112459748.

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A shift from conventional cytology to a molecular approach could improve cervical cancer screening. This proof-of-concept study aims to develop a high-content imaging platform for the simultaneous detection of multiple biomarkers for cervical disease. Liquid-based cytology (LBC) samples were used to optimize a dual ProExC/Ki-67 immunofluorescence staining protocol for SurePath-fixed cells. The simultaneous and automated detection of these biomarkers was performed using the BD Pathway 435 system. The ability of high-content imaging to detect dysplastic cervical cells was assessed using keratinocytes spiked with immunopositive SiHa cells and a high-grade squamous intraepithelial lesion (HSIL) LBC sample. The percentages of Ki-67- and ProExC-immunopositive objects correlated significantly with the percentages of spiked SiHa cells. The dysplastic cells of the HSIL sample could be detected using high-content cell analysis. In conclusion, high-content imaging allows the simultaneous and automated detection of Ki-67- and ProExC-immunopositive dysplastic cells in LBC specimens.
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Harris, Georgina, Taina Palosaari, Zuzana Magdolenova, Milena Mennecozzi, Jean Michel Gineste, Luis Saavedra, Anne Milcamps, et al. "Iron oxide nanoparticle toxicity testing using high-throughput analysis and high-content imaging." Nanotoxicology 9, sup1 (July 17, 2013): 87–94. http://dx.doi.org/10.3109/17435390.2013.816797.

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Dissertations / Theses on the topic "High Content Imaging Analysis"

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Alibhai, Dominic. "Fluorescence lifetime imaging applied to multiwell plate FRET assays for high content analysis." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/40284.

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The work reported in this thesis aims to develop and apply new assays for high content analysis (HCA) based on novel automated fluorescence lifetime imaging microscopy (FLIM) technology adapted for multiwell plate readers and evaluate their potential for drug discovery. Two such FLIM multiwell plate readers were investigated, one based on a custom-modified commercially available plate reader (GE Healthcare In Cell 1000) and the other based on an Olympus IX-81 wide-field microscope adapted for use as an automated multiwell plate imaging system. To evaluate the potential for drug discovery, an exemplar assay of HIV-1 Gag protein aggregation was developed and used to evaluate the performance of the multiwell plate readers. HIV-1 Gag is the major structural protein within HIV-1 virions and is thought to interact with other viral proteins, the viral genome and with a large number of host cell factors to orchestrate the formation of new virions. HIV-1 Gag protein oligomerisation is a precursor to virion production at the plasma membrane of the target cell during the HIV virus life cycle and so represents a potential readout for testing the efficacy of anti HIV drugs. The expression of HIV-1 Gag alone within living cells leads to the formation of virus-like particles (VLPs), which provide a convenient and safe means to study this late stage of the HIV cycle. This exemplar assay is based on Förster Resonance Energy Transfer (FRET) between appropriately (fluorescently) labelled HIV-1 Gag proteins. By tagging HIV-1 Gag proteins with either a donor fluorophore or an acceptor fluorophore, a FRET signal can be utilised to indicate when the oligomerisation brings the donor and acceptor within close ( < ~ 10 nm) proximity and this can be read out and mapped using FLIM to observe the decrease in donor fluorescence lifetime that is a consequence of FRET. In the first instance the Gag proteins were stochastically labelled with either CFP or YFP and FRET was mapped by imaging the CFP lifetime. The assay could also be implemented by labelling the Gag protein with CFP only and detecting the small change in lifetime that occurs during homo-FRET of CFP. To evaluate and validate the assay, biological controls were developed using mutants of the Gag protein that lacked the ability to be myristoylated, a pre-requisite for the Gag protein to assemble at the cell plasma membrane where the VLP are formed. Comparisons were made using both myristoylated (WT) and non- myristoylated (mutated) HIV-1 Gag proteins to demonstrate each plate reader's ability to read out levels of HIV-1 Gag protein aggregation. To further characterise the performance of the assay and the plate readers, a dose response study was undertaken using an inhibitor of the enzyme responsible for myristoylation in eukaryotic cells and the assay was fully characterised following standard pharmaceutical industry guidelines. Accounting for experimental factors such as pipetting errors, plate edge effects, spatial uniformity and drift over time, these characterisations and dose response studies yielded Z' factors to reflect the practical quality of the assays and thereby provided a robust means to compare different approaches, including different labelling strategies (e.g. hetero-FRET v. homo-FRET), imaging strategies (e.g. wide-field v. optically sectioned) and data analysis strategies (e.g. fitting models, image segmentation). To my knowledge this represents the first such robust and systematic evaluation of FLIM assays, e.g. using Z' from dose response curves, and is therefore of value to the pharmaceutical industry and other potential users of FLIM HCA.
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Mclay, Colin Anthony. "A distributed imaging framework for the analysis and visualization of multi-dimensional bio-image datasets, in high content screening applications." Thesis, Kingston University, 2015. http://eprints.kingston.ac.uk/35863/.

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This research presents the DFrame, a modular and extensible distributed framework that simplifies and thus encourages the use of parallel processing, and that is especially targeted at the analysis and visualization of multi-dimensional bio-image datasets in high content screening applications. These applications typically apply pipelines of complex and time consuming algorithms to multiple bio-image dataset stream and it is highly desirable to use parallel resources to exploit the inherent concurrency, in order to achieve results in much reduced time scales. The DFrame allows pluggable extension and reuse of models implementing parallelizing patterns, and similarly provides for application extensibility. This facilitates the composition of novel parallelized 3D image processing application. A client server architecture is adopted to support both batch and long running interactive sessions. The DFrame client provides functions to author applications as workflows, and mediates interaction with the server. The DFrame server runs as multiple cooperating distributed instances, that together orchestrate to execture tasks according to a workflow's implied order. An inversion of control paradigm is used to drive the loading and running of the models that themselves then coordinate to load and parallelize the running of each task specified in a workflow. The design opens up the opportunity to incorporate advanced management features, including parallel pattern selection based on application context, dynamic 'in application' resource allocation, and adaptable partitioning and composition strategies. Generic partitioning and composition mechanisms for supporting both task and data parallelism are provided, with specific implementation support applicable to the domain of 3D image processing. Evaluations of the DFrame are conducted at the component levelm where specific parallelizing models are applied to discrete 3D image filtering and segmentation operators and to a ray tracing implementation. A complete integrated case study is then presented that composes component entities into multiple image processing pipeline to more fully demonstrate the power and utility of the DFrame, not only in terms of performance, but also to highlight the extensibility and adaptability that permeates through the design, and its applicability to the domain of multi-dimensional image processing. Results are discussed that evidence the utility of the approach, and avenues of future works are considered.
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Makovoz, Gennadiy. "Latent Semantic Analysis as a Method of Content-Based Image Retrieval in Medical Applications." NSUWorks, 2010. http://nsuworks.nova.edu/gscis_etd/227.

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The research investigated whether a Latent Semantic Analysis (LSA)-based approach to image retrieval can map pixel intensity into a smaller concept space with good accuracy and reasonable computational cost. From a large set of computed tomography (CT) images, a retrieval query found all images for a particular patient based on semantic similarity. The effectiveness of the LSA retrieval was evaluated based on precision, recall, and F-score. This work extended the application of LSA to high-resolution CT radiology images. The images were chosen for their unique characteristics and their importance in medicine. Because CT images are intensity-only, they carry less information than color images. They typically have greater noise, higher intensity, greater contrast, and fewer colors than a raw RGB image. The study targeted level of intensity for image features extraction. The focus of this work was a formal evaluation of the LSA method in the context of large number of high-resolution radiology images. The study reported on preprocessing and retrieval time and discussed how reduction of the feature set size affected the results. LSA is an information retrieval technique that is based on the vector-space model. It works by reducing the dimensionality of the vector space, bringing similar terms and documents closer together. Matlab software was used to report on retrieval and preprocessing time. In determining the minimum size of concept space, it was found that the best combination of precision, recall, and F-score was achieved with 250 concepts (k = 250). This research reported precision of 100% on 100% of the queries and recall close to 90% on 100% of the queries with k=250. Selecting a higher number of concepts did not improve recall and resulted in significantly increased computational cost.
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Datar, Akshata. "HIGH CONTENT IMAGING ASSAYS ON MICROARRAY CHIP BASED PLATFORM." Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1462795576.

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Goode, Ashley Harford. "High resolution ultrasonic imaging system." Thesis, University of Portsmouth, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329278.

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Jacques, Richard. "Statistical analysis of high content screening data." Thesis, University of Sheffield, 2009. http://etheses.whiterose.ac.uk/2220/.

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High throughput screening experiments are typically used within the pharmaceutical industry for the identification and evaluation of candidate drugs. Using a high throughput screen with automated imaging platform allows a large number of compounds to be tested in a biological assay in order to identify any activity inhibiting or activating a biological process. High throughput fluorescent images contain information that can be used to define fully the effects of a compound on cells. It is for this reason that florescent imaging assays have been termed high content screening (Clemons, 2004). The studies analysed in this thesis involve the use of an automated robotic system to administer compounds to cellular assays and take high content images. These images are then analysed and quantified using imaging algorithms to produce a set of variables. Each high content screen may extend to a million or more individual assays. Supervised classification methods have important applications in high content screening experiments where they are used to predict which compounds have the potential to be developed into new drugs. The use of supervised classification for high content screening data is investigated and a new classification method is proposed for batches of compounds where the rule is updated sequentially using information from the classification of previous batches. This methodology accounts for the possibility that the training data are not a representative sample of the test data and that the underlying group distributions may change as new compounds are analysed. Unsupervised classification methods are used in the analysis of high content screening experiments to evaluate potential new drugs. The study in this thesis considers clustering compounds based on their toxicological effect on the liver. Drug induced liver injury is the most common cause for non approval and withdrawal by the Food and Drug Administration (Ainscow, 2007a) and therefore this is an important stage in drug development.
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Chaipraparl, Pornpun. "Thai High School Compute Literacy: A Content Analysis." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc330995/.

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This study examined the extent to which each computer literacy objective domain, each specific mode of instruction, and each type of question were treated in Thai high school computer literacy text materials. Two textbooks and their accompanying teachers' manuals were examined using three analytical schemes as frameworks for the examinations. The Minnesota Educational Computing Consortium (MECC) computer literacy objectives were used to classify the content in the text materials in order to determine the degree of emphasis on each computer literacy objective domain. The Hawaii state Department of Education (HSDE) instructional modes were used to classify the content in the text materials in order to determine the degree of emphasis on each mode of instruction. Bloom's taxonomy of education, cognitive domain, was used to classify the review questions and exercises in the text materials in order to determine the degree of emphasis on each cognitive level. Detailed findings are given as numerals, percentages, and decimal values. Perspectives are offered on the need for textbooks which reflect the values and feelings objectives. Conclusions were that (a) text materials focus most on the programming/algorithms objectives and tend to exclude the values and feelings objectives; (b) text materials use only three modes of instruction, focusing first on the topic mode, second on the tutee mode, and last on the tool mode; (c) text material questions focus more on higher cognitive than on lower cognitive levels.
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Wang, Yalin. "Document analysis : table structure understanding and zone content classification /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6079.

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Wang, Peng. "High resolution imaging and analysis using aberration-corrected stem." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433775.

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Munoz, Antonio. "High performance platform independent content analysis for network processing." Thesis, Queen's University Belfast, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.602692.

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The Internet is the global infrastructure for communication, education, entertainment and commerce. As network systems increase in connection speeds and data volume, high performance network intrusion detection and prevention systems must evolve to protect users and businesses from organized and opportunistic crimes motivated by financial and political interests. A detailed study of several well-known network intrusion detection and prevention systems (e.g. Snort) revealed the platform dependency of security rules notation. This thesis describes the design and implementation of Snort2regex, an efficient and accurate tool for compiling Snort rules into regular expression syntax. The regular expression syntax provides a platform independent notation that ensures high levels of security in multiple environments. Several alternative parallel architectures are introduced to attempt to improve the performance of network intrusion detection and prevention systems. I~ order to show the benefits of the Snort2regex compiler, this work also presents SnortEX, a novel software based network intrusion detection and prevention system that benefits from the scalability of the parallel architectures previously introduced. The proposed architecture of SnortEX was evaluated. and several methods of optimization are studied [0 improve the performance and integration between the Snort2regex compiled rule set and SnortEX. Finally, the system is benchmarked and shows a 3 to 17x improvement in performance against a standard Snort implementation.
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Books on the topic "High Content Imaging Analysis"

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Razvi, Enal S. High-content screening (HCS): An industry analysis. Westborough, MA: D & MD Publications, 2006.

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Razvi, Enal S. High-content screening (HCS): An industry analysis. Westborough, MA: D & MD Publications, 2006.

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Freeman, Norman A. Design and analysis of a high frequency needle-based ultrasound imaging system. Ottawa: National Library of Canada, 2000.

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Grigorova, Nadejda G. Carbonitrides in nitrogen die and high speed steels: Chemical phase analysis. Sofia: [Intelsoft], 1995.

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Calif.) Ultrafast Imaging and Spectroscopy (Conference) (2013 San Diego. Ultrafast Imaging and Spectroscopy: 25-26 August 2013, San Diego, California, United States. Edited by Liu, Zhiwen (Professor of Electrical engineering) and SPIE (Society). Bellingham, Washington, USA: SPIE, 2013.

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Net words: Creating high-impact online copy. New York: McGraw-Hill, 2002.

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Imaging, multi-scale, and high-contrast partial differential equations: Seoul ICM 2014 Satellite Conference, August 7-9, 2014, Daejeon, Korea. Providence, Rhode Island: American Mathematical Society, 2016.

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Daydé, Michel. High Performance Computing for Computational Science - VECPAR 2012: 10th International Conference, Kope, Japan, July 17-20, 2012, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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ICONO '98 (1998 Moscow, Russia). ICONO '98: Quantum optics, interference phenomena in atomic systems, and high-precision measurements : 29 June-3 July 1998, Moscow, Russia. Edited by Andreev A. V, Scientific Council for Coherent and Nonlinear Optics (Rossiĭskai͡a akademii͡a nauk), and Russia (Federation). Ministerstvo nauki i tekhnologiĭ. Bellingham, Wash: SPIE--the International Society for Optical Engineering, 1999.

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Stanescu, Liana. Creating New Medical Ontologies for Image Annotation: A Case Study. New York, NY: Springer Science+Business Media, LLC, 2012.

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Book chapters on the topic "High Content Imaging Analysis"

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Gradl, 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.

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Földes, Gábor, and Maxime Mioulane. "High-Content Imaging and Analysis of Pluripotent Stem Cell-Derived Cardiomyocytes." In Imaging and Tracking Stem Cells, 29–39. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/7651_2013_25.

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Dolman, Nick J., Brent A. Samson, Kevin M. Chambers, Michael S. Janes, and Bhaskar S. Mandavilli. "Tools to Measure Autophagy Using High Content Imaging and Analysis." In Methods in Molecular Biology, 59–71. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7357-6_5.

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Chambers, Kevin M., Bhaskar S. Mandavilli, Nick J. Dolman, and Michael S. Janes. "General Staining and Segmentation Procedures for High Content Imaging and Analysis." In Methods in Molecular Biology, 21–31. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7357-6_2.

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Berecz, Tünde, Mária Husvéth-Tóth, Maxime Mioulane, Béla Merkely, Ágota Apáti, and Gábor Földes. "Generation and Analysis of Pluripotent Stem Cell-Derived Cardiomyocytes and Endothelial Cells for High Content Screening Purposes." In Imaging and Tracking Stem Cells, 57–77. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/7651_2019_222.

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Mandavilli, Bhaskar S., Robert J. Aggeler, and Kevin M. Chambers. "Tools to Measure Cell Health and Cytotoxicity Using High Content Imaging and Analysis." In Methods in Molecular Biology, 33–46. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7357-6_3.

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Cheung, Samuel, Catherine Greene, and Robin M. Yates. "Simultaneous Analysis of Multiple Lumenal Parameters of Individual Phagosomes Using High-Content Imaging." In Methods in Molecular Biology, 227–39. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6581-6_15.

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Kozak, K., B. Rinn, O. Leven, and M. Emmenlauer. "Strategies and Solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays." In Methods in Molecular Biology, 131–48. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7357-6_9.

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Yu, Sean, Pranav Joshi, Dong Woo Lee, and Moo-Yeal Lee. "High-Content Image Analysis." In Microarray Bioprinting Technology, 143–60. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46805-1_7.

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Zabulis, Xenophon, and Stelios C. Orphanoudakis. "Image Content Analysis and Description." In Computational Imaging and Vision, 1–19. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9664-0_1.

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Conference papers on the topic "High Content Imaging Analysis"

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Kelly, Douglas, Dominic Alibhai, Sean Warren, Sunil Kumar, Anca Margineanu, Franck Stuhmeier, Edward J. Murray, et al. "An Automated FLIM Multiwell Plate Reader for High Content Analysis." In Optical Molecular Probes, Imaging and Drug Delivery. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/omp.2013.mm4c.3.

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Görlitz, Frederik, Jonathan Lightley, Sunil Kumar, Edwin Garcia, Ming Yan, Riccardo Wysoczanski, Yuriy Alexandrov, et al. "Automated multiwell plate STORM: towards open source super-resolved high content analysis." In Advances in Microscopic Imaging, edited by Francesco S. Pavone, Emmanuel Beaurepaire, and Peter T. So. SPIE, 2019. http://dx.doi.org/10.1117/12.2526940.

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Black, Jr., John A., Mariano Phielipp, Greg Nielson, and Sethuraman Panchanathan. "Can the high-level content of natural images be indexed using local analysis?" In Electronic Imaging 2004, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2004. http://dx.doi.org/10.1117/12.527316.

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Ronneberger, Olaf. "Reusable modules for high-content 3D and 4D image analysis." In 2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011). IEEE, 2011. http://dx.doi.org/10.1109/isbi.2011.5872736.

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Holden, Elena, Judith Newmark, Connie Wong, Maxime François, Michael Fenech, Wayne Leifert, and Zbigniew Darzynkiewicz. "Abstract LB-336: High-content, high-throughput imaging cytometry for fully automated DNA damage analysis." In Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1538-7445.am2011-lb-336.

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Eremina, Olga E., Dmitry B. Eremin, Alexander Czaja, and Cristina Zavaleta. "DFT-Guided Development of Raman Nanoparticle-Based Contrast Agents for High-Content Imaging." In Microscopy Histopathology and Analytics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/microscopy.2022.mw1a.2.

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Sultan, Mohammad Muneeb. "Abstract IA-10: Machine learning enabled analysis of high content imaging datasets: Progress and prospects." In Abstracts: AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging; January 13-14, 2021. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1557-3265.adi21-ia-10.

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Zhou, Xiaobo, Jian Chen, Jinmin Zhu, Fuhai Li, Xudong Huang, and Stephen TC Wong. "Study of CuO Nanoparticle-induced Cell Death by High Content Cellular Fluorescence Imaging and Analysis." In 2007 IEEE International Symposium on Circuits and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iscas.2007.378773.

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Lin, Liang-I., Shih-Hui Chao, and Deirdre R. Meldrum. "Microscale Oil-Covered Cell Array (MOCCA): A Droplet Array for High-Content Single-Cell Analysis and Imaging." In ASME 2009 7th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2009. http://dx.doi.org/10.1115/icnmm2009-82283.

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A simple, low-cost technique for high throughput single-cell analysis, Microscale Oil-Covered Cell Array (MOCCA), is presented in this paper. Corresponding to recent research on single cell analysis, simple devices for isolated cell chambers are urgently needed and long sought-after. Instead of using microfabricated solid structures to capture cells, MOCCA isolates cells in discrete aqueous droplets that are separated by oil on the patterned hydrophilic areas on a relatively more hydrophobic flat substrate. In our pioneer study, we created an array of 700-picoliter droplets. The randomly seeded E. coli cell number in each discrete droplet approaches single-cell levels. The total time needed for MOCCA fabrication was no more than 10 minutes. Compared to traditional micro-fabrication techniques, MOCCA dramatically lowers the cost and enhances the efficiency for the fabrication procedure, while producing a microscale array as in those made using traditional methods.
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Johansson, Hans E., Arturo V. Orjalo, Sally R. Coassin, Jerry L. Ruth, Fabio Stossi, and Michael A. Mancini. "Abstract 1940: High-throughput imaging and high content analysis of disease relevant lncRNAs examined by RNA fluorescence in situ hybridization (RNA FISH)." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-1940.

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Reports on the topic "High Content Imaging Analysis"

1

Costianes, Peter J. An Analysis of an Ultra-High Speed Content-Addressable Database Retrieval System. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada400296.

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Paslavskyi, Ihor. Ukrainian television: problem-content analysis. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11397.

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The article highlights and analyzes the factors influencing the activities of television editorial teams in the period of new political, economic and security circumstances. It is noted that all-Ukrainian influential television channels, which have the highest popularity and high ratings, are oligarchic media with a high level of political involvement. Ukrainian television is widely practicing to narrow the thematic range of programs, reports and programs resulting in unjustified dominance in the television space of entertainment and humorous genres, «ravel journalism», excessive overweight of foreign programs and of obsolete quality film production. In the news programs, some TV companies, including 1 + 1, widely emphasize negative issues that are not typical of Ukrainian society, which often has a petty, urban and secondary status. Instead, a wide range of real, socially important, topical issues and problems remain out of the professional attention of journalists, analysts and experts. Guided only by the criterion of rating programs, programs, stories, topics and problems, TVs lose the most active segment among the audience – critical thinking, knowledgeable, erudite recipient, who, choosing an information resource, increasingly prefers the internet journalism.
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3

Cooke, E., M. Hayes, M. Romanchikova, A. Dexter, R. Steven, S. Thomas, M. Shaw, et al. Acquisition & management of high content screening, light-sheet microscopy and mass spectrometry imaging data at AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, September 2020. http://dx.doi.org/10.47120/npl.mn25.

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Cooke, E., M. Hayes, M. Romanchikova, A. Dexter, R. Steven, S. Thomas, M. Shaw, et al. Acquisition & management of high content screening, light-sheet microscopy and mass spectrometry imaging data at AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, September 2020. http://dx.doi.org/10.47120/npl.ms25.

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Brochu, F., E. Cooke, M. Romanchikova, J. Bunch, A. Dexter, R. Steven, S. Thomas, et al. Federation of imaging data for life sciences current status of metadata collection for high content screening, mass spectrometry imaging and light sheet microscopy of AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, September 2020. http://dx.doi.org/10.47120/npl.mn24.

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Brochu, F., E. Cooke, m. Romanchikova, J. Bunch, A. Dexter, R. Steven, S. Thomas, et al. Federation of imaging data for life sciences current status of metadata collection for high content screening, mass spectrometry imaging and light sheet microscopy of AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, September 2020. http://dx.doi.org/10.47120/npl.ms24.

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7

Perez, Kristy L. Incorporating Functional Imaging Information into rpFNA Analysis for Breast Cancer Detection in High Risk Women. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada505049.

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Perez, Kristy L. Incorporating Functional Imaging Information into rpFNA Analysis for Breast Cancer Detection in High Risk Women. Fort Belvoir, VA: Defense Technical Information Center, March 2010. http://dx.doi.org/10.21236/ada524522.

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9

Scanlan, 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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Several sedimentary exhalative (SEDEX) deposits have alkaline magmatism that is temporally and spatially associated to mineralization. This report outlines interim data from a study of potential linkages between magmatism and SEDEX mineralization in the Selwyn Basin, Yukon. This region is an ideal study site due to the close spatial and temporal relationships between SEDEX deposits and magmatism, particularly in the MacMillan Pass, where volcanic rocks have been drilled with mineralization at the Boundary deposit. Alkaline volcanic samples were analysed from the Anvil District, MacMillan Pass, Keno-Mayo and the Misty Creek Embayment in the Selwyn Basin to characterise volcanism and examine the relationship to mineralization. Textural and field relationships indicate a volatile-rich explosive eruptive volcanic system in the MacMillan Pass region in comparison to the Anvil District, which is typically effusive in nature. High proportions of calcite and ankerite in comparison to other minerals are present in the MacMillan system. Cathodoluminescence imaging reveals zoning and carbonate that displays different luminescent colours within the same sample, likely indicating multiple generations of carbonate precipitation. Barium contents are enriched in volcanic rocks throughout the Selwyn Basin, which is predominately hosted by hyalophane with rare barite and barytocalcite. Thallium is positively correlated with Ba, Rb, Cs, Mo, As, Sb and the calcite-chlorite-pyrite index and is negatively correlated with Cu. Anvil District samples display a trend towards depleted mid-ocean ridge mantle on a plot of Ce/Tl versus Th/Rb. Hydrothermal alteration has likely led to the removal of Tl from volcanic rocks in the region. Ongoing research involves: i) the analysis of Sr, Nd, Pb and Tl isotopes of volcanic samples; ii) differentiating magmatic from hydrothermal carbonate using O, C and Sr isotopes; iii) examining sources of Ba in the Selwyn Basin; iv) and constraining age relationships through U-Th-Pb geochronology.
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Stromatt, R. W., E. W. Hoppe, and M. J. Steele. Sample preparation for semivolatile organics analysis of Hanford single-shell tank waste with high nitrate/nitrite and water content. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10196090.

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