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Artykuły w czasopismach na temat "High-Content automated microscopy"
Conrad, Christian, i Daniel W. Gerlich. "Automated microscopy for high-content RNAi screening". Journal of Cell Biology 188, nr 4 (22.02.2010): 453–61. http://dx.doi.org/10.1083/jcb.200910105.
Pełny tekst źródłaWang, Jun, Xiaobo Zhou, Pamela L. Bradley, Shih-Fu Chang, Norbert Perrimon i Stephen T. C. Wong. "Cellular Phenotype Recognition for High-Content RNA Interference Genome-Wide Screening". Journal of Biomolecular Screening 13, nr 1 (26.11.2007): 29–39. http://dx.doi.org/10.1177/1087057107311223.
Pełny tekst źródłaKraus, Oren Z., Ben T. Grys, Jimmy Ba, Yolanda Chong, Brendan J. Frey, Charles Boone i Brenda J. Andrews. "Automated analysis of high‐content microscopy data with deep learning". Molecular Systems Biology 13, nr 4 (kwiecień 2017): 924. http://dx.doi.org/10.15252/msb.20177551.
Pełny tekst źródłaNghi, Do Huu, i Le Mai Huong. "APPLICATION OF IMAGE-BASED HIGH CONTENT ANALYSIS FOR THE SCREENING OF BIOACTIVE NATURAL PRODUCTS". Vietnam Journal of Science and Technology 56, nr 4A (19.10.2018): 1. http://dx.doi.org/10.15625/2525-2518/56/4a/13065.
Pełny tekst źródłaGilbert, Daniel F., Till Meinhof, Rainer Pepperkok i Heiko Runz. "DetecTiff©: A Novel Image Analysis Routine for High-Content Screening Microscopy". Journal of Biomolecular Screening 14, nr 8 (29.07.2009): 944–55. http://dx.doi.org/10.1177/1087057109339523.
Pełny tekst źródłaMoreau, Dimitri, i Jean Gruenberg. "Automated Microscopy and High Content Screens (Phenotypic Screens) in Academia Labs". CHIMIA International Journal for Chemistry 70, nr 12 (21.12.2016): 878–82. http://dx.doi.org/10.2533/chimia.2016.878.
Pełny tekst źródłaBray, Mark-Anthony, Adam N. Fraser, Thomas P. Hasaka i Anne E. Carpenter. "Workflow and Metrics for Image Quality Control in Large-Scale High-Content Screens". Journal of Biomolecular Screening 17, nr 2 (28.09.2011): 266–74. http://dx.doi.org/10.1177/1087057111420292.
Pełny tekst źródłaDorval, Thierry, Arnaud Ogier, Auguste Genovesio, Hye Kuyon Lim, Do Yoon Kwon, Joo-Hyun Lee, Howard J. Worman, William Dauer i Regis Grailhe. "Contextual Automated 3D Analysis of Subcellular Organelles Adapted to High-Content Screening". Journal of Biomolecular Screening 15, nr 7 (16.07.2010): 847–57. http://dx.doi.org/10.1177/1087057110374993.
Pełny tekst źródłaWen, Yuan, Kevin A. Murach, Ivan J. Vechetti, Christopher S. Fry, Chase Vickery, Charlotte A. Peterson, John J. McCarthy i Kenneth S. Campbell. "MyoVision: software for automated high-content analysis of skeletal muscle immunohistochemistry". Journal of Applied Physiology 124, nr 1 (1.01.2018): 40–51. http://dx.doi.org/10.1152/japplphysiol.00762.2017.
Pełny tekst źródłaPreston, K. "High-resolution image analysis." Journal of Histochemistry & Cytochemistry 34, nr 1 (styczeń 1986): 67–74. http://dx.doi.org/10.1177/34.1.3941268.
Pełny tekst źródłaRozprawy doktorskie na temat "High-Content automated microscopy"
Bourguignon, Tom. "Polymeric nanoparticles for the treatment of lung infectious diseases". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASF096.
Pełny tekst źródłaInfectious diseases have always been a threat to mankind, as reminded by the recent COVID-19 (COronaVIrus Disease 2019) pandemic. However, the latter has also highlighted the potential of nanotechnologies for the development of innovative therapies, thanks to vaccines containing nanoparticles (NPs) for messenger RNA protection and vectorization. This work explores the potential of PLGA (poly(lactic-co-glycolic acid)) NPs for the treatment of two lung diseases: tuberculosis (TB), a millennia-old ailment as well as the deadliest infectious disease worldwide, and COVID-19, the second pandemic of this century.To begin with, we take interest in the physiopathology and treatment of Mycobacterium tuberculosis (Mtb), but most of all, in the evolution of NPs over the last thirty years for the optimization of TB therapy. This literature review, published in Pharmaceutics in 2023, highlights the most studied NPs and antibiotics to this end, and offers perspectives for the future of advanced and tailored treatments.For the study of the prepared PLGA NPs, a characterization technique, NTA (nanoparticle tracking analysis), is diverted from its original use to explore cell-NP interactions. NPs are incubated with cell cultures before the supernatants are analyzed by NTA, thus enabling to quantify NP internalization over time. Such a use, detailed in an article published in the International Journal of Pharmaceutics in 2021, had never been described in the literature before.The NP potential for the targeting of Mtb is then explored. In vitro, it appears that NPs are preferentially internalized by infected cells as compared to non-infected ones. Furthermore, there is a positive correlation between the number of intracellular bacteria and the number of captured NPs. In vivo, in a mouse model, a single intranasal NP injection allows for the targeting of the organ of interest (the lungs), the cell type of interest (alveolar macrophages, the site of Mtb infection), and infected cells rather than non-infected ones, the former capturing three times more NPs on average than the latter. These results are the subject of an article currently being reviewed.Finally, a study takes interest in the encapsulation and solubilization of an active molecule for the treatment of COVID-19. Optimization studies resulted in drug encapsulation of 98.3%, drug loading of 24.9%, and a concentration in water of 5 mg/mL for this hydrophobic molecule. Its release mechanism was also unraveled. In a mouse and in a hamster model, it appears that a few intranasal injections reduce the lung viral load by 1.4 log10/mL, with very limited toxicity. In a mouse model, the encapsulated molecule is shown to prevent lung inflammation usually associated with COVID-19. This study, which will be submitted for publication shortly, lays the foundations for a post-infection therapy for the most vulnerable patients. Other results, non-included in the article, explore different NP formulations to influence and prolong drug release in vivo. A patent has been filed for this study in 2023.In conclusion, this work demonstrates the potential of PLGA NPs for the treatment of two of the deadliest infectious lung diseases currently, and offers prospects for future studies
Książki na temat "High-Content automated microscopy"
Sklar, Larry A., red. Flow Cytometry for Biotechnology. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195183146.001.0001.
Pełny tekst źródłaCzęści książek na temat "High-Content automated microscopy"
DeBernardi, Maria A., Stephen M. Hewitt i Andres Kriete. "Automated Confocal Imaging and High-Content Screening for Cytomics". W Handbook Of Biological Confocal Microscopy, 809–17. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-45524-2_46.
Pełny tekst źródłaQuaranta, Vito, Darren R. Tyson, Shawn P. Garbett, Brandy Weidow, Mark P. Harris i Walter Georgescu. "Trait Variability of Cancer Cells Quantified by High-Content Automated Microscopy of Single Cells". W Methods in Enzymology, 23–57. Elsevier, 2009. http://dx.doi.org/10.1016/s0076-6879(09)67002-6.
Pełny tekst źródłaJohnson, R. T., C. S. Downes i R. E. Meyn. "The Synchronization Of Mammalian Cells". W The Cell Cycle, 1–24. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780199633951.003.0001.
Pełny tekst źródłaStreszczenia konferencji na temat "High-Content automated microscopy"
Lightley, J., F. Görlitz, S. Kumar, R. Kalita, A. Kolbeinsson, E. Garcia, Y. Alexandrov i in. "ROBUST OPTICAL AUTOFOCUS SYSTEM UTILIZING NEURAL NETWORKS APPLIED TO AUTOMATED MULTIWELL PLATE STORM MICROSCOPY". W European Conference on Biomedical Optics. Washington, D.C.: Optica Publishing Group, 2021. http://dx.doi.org/10.1364/ecbo.2021.es1a.1.
Pełny tekst źródłaGörlitz, Frederik, Jonathan Lightley, Sunil Kumar, Edwin Garcia, Ming Yan, Riccardo Wysoczanski, Yuriy Alexandrov i in. "Automated multiwell plate STORM: towards open source super-resolved high content analysis". W Advances in Microscopic Imaging, redaktorzy Francesco S. Pavone, Emmanuel Beaurepaire i Peter T. So. SPIE, 2019. http://dx.doi.org/10.1117/12.2526940.
Pełny tekst źródłaTolstaya, E., A. Shakirov i M. Mezghani. "Lithology Prediction from Drill Cutting Images Using Convolutional Neural Networks and Automated Dataset Cleaning". W ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216418-ms.
Pełny tekst źródłaMata, Gadea, Miroslav Radojevic, Ihor Smal, Miguel Morales, Erik Meijering i Julio Rubio. "Automatic detection of neurons in high-content microscope images using machine learning approaches". W 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016). IEEE, 2016. http://dx.doi.org/10.1109/isbi.2016.7493276.
Pełny tekst źródłaSato, Motoyoshi, Ryo Shimamoto i Masanobu Mizoguchi. "3-D Image Measurement System for Small Machine Parts With Glossy Metal Surfaces". W ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7184.
Pełny tekst źródłaRaporty organizacyjne na temat "High-Content automated microscopy"
Ley, M., Zane Lloyd, Shinhyu Kang i Dan Cook. Concrete Pavement Mixtures with High Supplementary Cementitious Materials Content: Volume 3. Illinois Center for Transportation, wrzesień 2021. http://dx.doi.org/10.36501/0197-9191/21-032.
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