Artykuły w czasopismach na temat „High-Content automated microscopy”
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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 źródłaMata, Gadea, Miroslav Radojević, Carlos Fernandez-Lozano, Ihor Smal, Niels Werij, Miguel Morales, Erik Meijering i Julio Rubio. "Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning". Neuroinformatics 17, nr 2 (13.09.2018): 253–69. http://dx.doi.org/10.1007/s12021-018-9399-4.
Pełny tekst źródłaGasparri, Fabio, Paolo Cappella i Arturo Galvani. "Multiparametric Cell Cycle Analysis by Automated Microscopy". Journal of Biomolecular Screening 11, nr 6 (7.06.2006): 586–98. http://dx.doi.org/10.1177/1087057106289406.
Pełny tekst źródłaThomas, Nick. "Review Article: High-Content Screening: A Decade of Evolution". Journal of Biomolecular Screening 15, nr 1 (11.12.2009): 1–9. http://dx.doi.org/10.1177/1087057109353790.
Pełny tekst źródłaIbáñez, Glorymar, Paul A. Calder, Constantin Radu, Bhavneet Bhinder, David Shum, Christophe Antczak i Hakim Djaballah. "Evaluation of Compound Optical Interference in High-Content Screening". SLAS DISCOVERY: Advancing the Science of Drug Discovery 23, nr 4 (3.05.2017): 321–29. http://dx.doi.org/10.1177/2472555217707725.
Pełny tekst źródłaMenduti, Giovanna, i Marina Boido. "Recent Advances in High-Content Imaging and Analysis in iPSC-Based Modelling of Neurodegenerative Diseases". International Journal of Molecular Sciences 24, nr 19 (28.09.2023): 14689. http://dx.doi.org/10.3390/ijms241914689.
Pełny tekst źródłaSimonen, Marjo, Yvonne Ibig-Rehm, Gabriele Hofmann, Johann Zimmermann, Genevieve Albrecht, Maxime Magnier, Valerie Heidinger i Daniela Gabriel. "High-Content Assay to Study Protein Prenylation". Journal of Biomolecular Screening 13, nr 6 (lipiec 2008): 456–67. http://dx.doi.org/10.1177/1087057108318757.
Pełny tekst źródłaGe, Y., D. Zhang, X. Zhou i Z. Zhang. "High-content Analysis in Monastrol Suppressor Screens". Methods of Information in Medicine 50, nr 03 (2011): 265–72. http://dx.doi.org/10.3414/me09-01-0030.
Pełny tekst źródłaLi, Zhuyin, Yongping Yan, Elaine A. Powers, Xiaoyou Ying, Khurram Janjua, Tina Garyantes i Bruce Baron. "Identification of Gap Junction Blockers Using Automated Fluorescence Microscopy Imaging". Journal of Biomolecular Screening 8, nr 5 (październik 2003): 489–99. http://dx.doi.org/10.1177/1087057103257309.
Pełny tekst źródłaFrölich, Sonja, Rebecca Robker i Darryl Russell. "Development of Automated Microscopy‐Assisted High‐Content Multiparametric Assays for Cell Cycle Staging and Foci Quantitation". Cytometry Part A 97, nr 4 (21.02.2020): 378–93. http://dx.doi.org/10.1002/cyto.a.23988.
Pełny tekst źródłaKrausz, Eberhard, Ronald de Hoogt, Emmanuel Gustin, Frans Cornelissen, Thierry Grand-Perret, Lut Janssen, Nele Vloemans i in. "Translation of a Tumor Microenvironment Mimicking 3D Tumor Growth Co-culture Assay Platform to High-Content Screening". Journal of Biomolecular Screening 18, nr 1 (24.08.2012): 54–66. http://dx.doi.org/10.1177/1087057112456874.
Pełny tekst źródłaMartinent, Rémi, Javier López-Andarias, Dimitri Moreau, Yangyang Cheng, Naomi Sakai i Stefan Matile. "Automated high-content imaging for cellular uptake, from the Schmuck cation to the latest cyclic oligochalcogenides". Beilstein Journal of Organic Chemistry 16 (14.08.2020): 2007–16. http://dx.doi.org/10.3762/bjoc.16.167.
Pełny tekst źródłaLi, Tong, Hadrien Mary, Marie Grosjean, Jonathan Fouchard, Simon Cabello, Céline Reyes, Sylvie Tournier i Yannick Gachet. "MAARS: a novel high-content acquisition software for the analysis of mitotic defects in fission yeast". Molecular Biology of the Cell 28, nr 12 (15.06.2017): 1601–11. http://dx.doi.org/10.1091/mbc.e16-10-0723.
Pełny tekst źródłaFetz, V., H. Prochnow, M. Brönstrup i F. Sasse. "Target identification by image analysis". Natural Product Reports 33, nr 5 (2016): 655–67. http://dx.doi.org/10.1039/c5np00113g.
Pełny tekst źródłaHaasen, Dorothea, Susanne Merk, Peter Seither, Domnic Martyres, Silke Hobbie i Ralf Heilker. "Pharmacological Profiling of Chemokine Receptor–Directed Compounds Using High-Content Screening". Journal of Biomolecular Screening 13, nr 1 (26.11.2007): 40–53. http://dx.doi.org/10.1177/1087057107312128.
Pełny tekst źródłaAlworth, Samuel V., Hirotada Watanabe i James S. J. Lee. "Teachable, High-Content Analytics for Live-Cell, Phase Contrast Movies". Journal of Biomolecular Screening 15, nr 8 (16.07.2010): 968–77. http://dx.doi.org/10.1177/1087057110373546.
Pełny tekst źródłaWhittaker, Ross, Patricia A. Loy, Eugene Sisman, Eigo Suyama, Pedro Aza-Blanc, Randall S. Ingermanson, Jeffrey H. Price i Patrick M. MCdonough. "Identification of MicroRNAs That Control Lipid Droplet Formation and Growth in Hepatocytes via High-Content Screening". Journal of Biomolecular Screening 15, nr 7 (16.07.2010): 798–805. http://dx.doi.org/10.1177/1087057110374991.
Pełny tekst źródłaMcDonough, Patrick M., Ramses M. Agustin, Randall S. Ingermanson, Patricia A. Loy, Benjamin M. Buehrer, James B. Nicoll, Natalie L. Prigozhina, Ivana Mikic i Jeffrey H. Price. "Quantification of Lipid Droplets and Associated Proteins in Cellular Models of Obesity via High-Content/High-Throughput Microscopy and Automated Image Analysis". ASSAY and Drug Development Technologies 7, nr 5 (październik 2009): 440–60. http://dx.doi.org/10.1089/adt.2009.0196.
Pełny tekst źródłaSchneidereit, Dominik, Larissa Kraus, Jochen C. Meier, Oliver Friedrich i Daniel F. Gilbert. "Step-by-step guide to building an inexpensive 3D printed motorized positioning stage for automated high-content screening microscopy". Biosensors and Bioelectronics 92 (czerwiec 2017): 472–81. http://dx.doi.org/10.1016/j.bios.2016.10.078.
Pełny tekst źródłaAzegrouz, Hind, Gopal Karemore, Alberto Torres, Carlos M. Alaíz, Ana M. Gonzalez, Pedro Nevado, Alvaro Salmerón i in. "Cell-Based Fuzzy Metrics Enhance High-Content Screening (HCS) Assay Robustness". Journal of Biomolecular Screening 18, nr 10 (17.09.2013): 1270–83. http://dx.doi.org/10.1177/1087057113501554.
Pełny tekst źródłaRameseder, Jonathan, Konstantin Krismer, Yogesh Dayma, Tobias Ehrenberger, Mun Kyung Hwang, Edoardo M. Airoldi, Scott R. Floyd i Michael B. Yaffe. "A Multivariate Computational Method to Analyze High-Content RNAi Screening Data". Journal of Biomolecular Screening 20, nr 8 (27.04.2015): 985–97. http://dx.doi.org/10.1177/1087057115583037.
Pełny tekst źródłaGarner, Kathryn L. "High content imaging for monitoring signalling dynamics in single cells". Journal of Molecular Endocrinology 65, nr 4 (listopad 2020): R91—R100. http://dx.doi.org/10.1530/jme-20-0169.
Pełny tekst źródłaOkolo, Chidinma A., Thomas M. Fish, Kamal L. Nahas, Archana C. Jadhav, Nina Vyas, Adam Taylor i Maria Harkiolaki. "A combination of soft X-ray and laser light sources offer 3D high content information on the native state of the cellular environment". Journal of Physics: Conference Series 2380, nr 1 (1.12.2022): 012042. http://dx.doi.org/10.1088/1742-6596/2380/1/012042.
Pełny tekst źródłaIsherwood, Beverley J., Rebecca E. Walls, Mark E. Roberts, Thomas M. Houslay, Sandra R. Brave, Simon T. Barry i Neil O. Carragher. "High-Content Analysis to Leverage a Robust Phenotypic Profiling Approach to Vascular Modulation". Journal of Biomolecular Screening 18, nr 10 (9.10.2013): 1246–59. http://dx.doi.org/10.1177/1087057113499775.
Pełny tekst źródłaVianello, Caterina, Federica Dal Bello, Sang Hun Shin, Sara Schiavon, Camilla Bean, Ana Paula Magalhães Rebelo, Tomáš Knedlík i in. "High-Throughput Microscopy Analysis of Mitochondrial Membrane Potential in 2D and 3D Models". Cells 12, nr 7 (5.04.2023): 1089. http://dx.doi.org/10.3390/cells12071089.
Pełny tekst źródłaMoreno-Andrés, Daniel, Anuk Bhattacharyya, Anja Scheufen i Johannes Stegmaier. "LiveCellMiner: A new tool to analyze mitotic progression". PLOS ONE 17, nr 7 (7.07.2022): e0270923. http://dx.doi.org/10.1371/journal.pone.0270923.
Pełny tekst źródłaNardou, Katya, Michael Nicolas, Fabien Kuttler, Katarina Cisarova, Elifnaz Celik, Mathieu Quinodoz, Nicolo Riggi i in. "Identification of New Vulnerabilities in Conjunctival Melanoma Using Image-Based High Content Drug Screening". Cancers 14, nr 6 (19.03.2022): 1575. http://dx.doi.org/10.3390/cancers14061575.
Pełny tekst źródłaLaan, Sebastiaan N. J., Richard J. Dirven, Petra E. Bürgisser, Jeroen Eikenboom i Ruben Bierings. "Automated segmentation and quantitative analysis of organelle morphology, localization and content using CellProfiler". PLOS ONE 18, nr 6 (14.06.2023): e0278009. http://dx.doi.org/10.1371/journal.pone.0278009.
Pełny tekst źródłaLempereur, Sylvain, Arnim Jenett, Elodie Machado, Ignacio Arganda-Carreras, Matthieu Simion, Pierre Affaticati, Jean-Stéphane Joly i Hugues Talbot. "Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains". Mathematical Morphology - Theory and Applications 4, nr 1 (27.07.2020): 31–45. http://dx.doi.org/10.1515/mathm-2020-0100.
Pełny tekst źródłaFerron, P. J., S. Huet, K. Hogeveen, V. Fessard i L. Le Hegarat Anses. "Effects of food chemical contaminants in human HepaRG and Caco-2 cells using an automated microscopy and high content analysis based approach". Toxicology Letters 238, nr 2 (październik 2015): S86—S87. http://dx.doi.org/10.1016/j.toxlet.2015.08.290.
Pełny tekst źródłaYip, Kenneth W., Michael Cuddy, Clemencia Pinilla, Marc Giulanotti, Susanne Heynen-Genel, Shu-Ichi Matsuzawa i John C. Reed. "A High-Content Screening (HCS) Assay for the Identification of Chemical Inducers of PML Oncogenic Domains (PODs)". Journal of Biomolecular Screening 16, nr 2 (13.01.2011): 251–58. http://dx.doi.org/10.1177/1087057110394181.
Pełny tekst źródłaGeorge, Thaddeus, Anne Spurkland, Vibeke Sundvold-Gjerstadt, Brandon Burbach, Yoji Shimizu, Brian Hall i Sherree Friend. "Quantitative analysis of immune synapse formation using imaging flow cytometry. (130.18)". Journal of Immunology 184, nr 1_Supplement (1.04.2010): 130.18. http://dx.doi.org/10.4049/jimmunol.184.supp.130.18.
Pełny tekst źródłaAggarwal, Sonam, Sheifali Gupta, Deepali Gupta, Yonis Gulzar, Sapna Juneja, Ali A. Alwan i Ali Nauman. "An Artificial Intelligence-Based Stacked Ensemble Approach for Prediction of Protein Subcellular Localization in Confocal Microscopy Images". Sustainability 15, nr 2 (16.01.2023): 1695. http://dx.doi.org/10.3390/su15021695.
Pełny tekst źródłaRamm, Susanne, Robert Vary, Twishi Gulati, Jennii Luu, Karla J. Cowley, Michael S. Janes, Nicholas Radio i Kaylene J. Simpson. "High-Throughput Live and Fixed Cell Imaging Method to Screen Matrigel-Embedded Organoids". Organoids 2, nr 1 (24.12.2022): 1–19. http://dx.doi.org/10.3390/organoids2010001.
Pełny tekst źródłaPandey, Gunjan, Jens Westhoff, Franz Schaefer i Jochen Gehrig. "A Smart Imaging Workflow for Organ-Specific Screening in a Cystic Kidney Zebrafish Disease Model". International Journal of Molecular Sciences 20, nr 6 (14.03.2019): 1290. http://dx.doi.org/10.3390/ijms20061290.
Pełny tekst źródłaPelicci, Simone, Laura Furia, Pier Giuseppe Pelicci i Mario Faretta. "From Cell Populations to Molecular Complexes: Multiplexed Multimodal Microscopy to Explore p53-53BP1 Molecular Interaction". International Journal of Molecular Sciences 25, nr 9 (25.04.2024): 4672. http://dx.doi.org/10.3390/ijms25094672.
Pełny tekst źródłaFuria, Laura, Simone Pelicci, Mirco Scanarini, Pier Giuseppe Pelicci i Mario Faretta. "From Double-Strand Break Recognition to Cell-Cycle Checkpoint Activation: High Content and Resolution Image Cytometry Unmasks 53BP1 Multiple Roles in DNA Damage Response and p53 Action". International Journal of Molecular Sciences 23, nr 17 (5.09.2022): 10193. http://dx.doi.org/10.3390/ijms231710193.
Pełny tekst źródłaJayamani, Elamparithi, Rajmohan Rajamuthiah, Jonah Larkins-Ford, Beth Burgwyn Fuchs, Annie L. Conery, Andreas Vilcinskas, Frederick M. Ausubel i Eleftherios Mylonakis. "Insect-Derived Cecropins Display Activity against Acinetobacter baumannii in a Whole-Animal High-Throughput Caenorhabditis elegans Model". Antimicrobial Agents and Chemotherapy 59, nr 3 (12.01.2015): 1728–37. http://dx.doi.org/10.1128/aac.04198-14.
Pełny tekst źródłaJorge-Oliva, Marta, Jan R. T. van Weering i Wiep Scheper. "Structurally and Morphologically Distinct Pathological Tau Assemblies Differentially Affect GVB Accumulation". International Journal of Molecular Sciences 24, nr 13 (29.06.2023): 10865. http://dx.doi.org/10.3390/ijms241310865.
Pełny tekst źródłaMergenthaler, Philipp, Santosh Hariharan, James M. Pemberton, Corey Lourenco, Linda Z. Penn i David W. Andrews. "Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning". PLOS Computational Biology 17, nr 2 (22.02.2021): e1008630. http://dx.doi.org/10.1371/journal.pcbi.1008630.
Pełny tekst źródłaKraus, Annalena, Victoria Rose, René Krüger, George Sarau, Lasse Kling, Mario Schiffer, Silke Christiansen i Janina Müller-Deile. "Characterizing Intraindividual Podocyte Morphology In Vitro with Different Innovative Microscopic and Spectroscopic Techniques". Cells 12, nr 9 (25.04.2023): 1245. http://dx.doi.org/10.3390/cells12091245.
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