Relevant bibliographies by topics / High-Content automated microscopy

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'High-Content automated microscopy'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "High-Content automated microscopy"

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Conrad, Christian, and Daniel W. Gerlich. "Automated microscopy for high-content RNAi screening." Journal of Cell Biology 188, no. 4 (2010): 453–61. http://dx.doi.org/10.1083/jcb.200910105.

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Fluorescence microscopy is one of the most powerful tools to investigate complex cellular processes such as cell division, cell motility, or intracellular trafficking. The availability of RNA interference (RNAi) technology and automated microscopy has opened the possibility to perform cellular imaging in functional genomics and other large-scale applications. Although imaging often dramatically increases the content of a screening assay, it poses new challenges to achieve accurate quantitative annotation and therefore needs to be carefully adjusted to the specific needs of individual screening
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Wang, Jun, Xiaobo Zhou, Pamela L. Bradley, Shih-Fu Chang, Norbert Perrimon, and Stephen T. C. Wong. "Cellular Phenotype Recognition for High-Content RNA Interference Genome-Wide Screening." Journal of Biomolecular Screening 13, no. 1 (2007): 29–39. http://dx.doi.org/10.1177/1087057107311223.

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Genome-wide, cell-based screens using high-content screening (HCS) techniques and automated fluorescence microscopy generate thousands of high-content images that contain an enormous wealth of cell biological information. Such screens are key to the analysis of basic cell biological principles, such as control of cell cycle and cell morphology. However, these screens will ultimately only shed light on human disease mechanisms and potential cures if the analysis can keep up with the generation of data. A fundamental step toward automated analysis of high-content screening is to construct a robu
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Kraus, Oren Z., Ben T. Grys, Jimmy Ba, et al. "Automated analysis of high‐content microscopy data with deep learning." Molecular Systems Biology 13, no. 4 (2017): 924. http://dx.doi.org/10.15252/msb.20177551.

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Nghi, Do Huu, and Le Mai Huong. "APPLICATION OF IMAGE-BASED HIGH CONTENT ANALYSIS FOR THE SCREENING OF BIOACTIVE NATURAL PRODUCTS." Vietnam Journal of Science and Technology 56, no. 4A (2018): 1. http://dx.doi.org/10.15625/2525-2518/56/4a/13065.

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Each bioactive compound induces phenotypic changes in target cells that can be made visible by labelling selected molecules of the cells with fluorescent dyes and/or directly observed under the high-throughput microscope. A comparison of the cellular phenotype induced by a compound of interest with known cellular targets allows predicting its mode of action. Over the past 15 years, high-throughput microscopy has been one of the fastest growing fields in cell biology. When combined with automated multiparametric image and data analysis, it is referred to as high-content screening (HCS). Whilst
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Gilbert, Daniel F., Till Meinhof, Rainer Pepperkok, and Heiko Runz. "DetecTiff©: A Novel Image Analysis Routine for High-Content Screening Microscopy." Journal of Biomolecular Screening 14, no. 8 (2009): 944–55. http://dx.doi.org/10.1177/1087057109339523.

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In this article, the authors describe the image analysis software DetecTiff©, which allows fully automated object recognition and quantification from digital images. The core module of the LabView©-based routine is an algorithm for structure recognition that employs intensity thresholding and size-dependent particle filtering from microscopic images in an iterative manner. Detected structures are converted into templates, which are used for quantitative image analysis. DetecTiff © enables processing of multiple detection channels and provides functions for template organization and fast interp
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Bray, Mark-Anthony, Adam N. Fraser, Thomas P. Hasaka, and Anne E. Carpenter. "Workflow and Metrics for Image Quality Control in Large-Scale High-Content Screens." Journal of Biomolecular Screening 17, no. 2 (2011): 266–74. http://dx.doi.org/10.1177/1087057111420292.

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Automated microscopes have enabled the unprecedented collection of images at a rate that precludes visual inspection. Automated image analysis is required to identify interesting samples and extract quantitative information for high-content screening (HCS). However, researchers are impeded by the lack of metrics and software tools to identify image-based aberrations that pollute data, limiting experiment quality. The authors have developed and validated approaches to identify those image acquisition artifacts that prevent optimal extraction of knowledge from high-content microscopy experiments
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Moreau, Dimitri, and Jean Gruenberg. "Automated Microscopy and High Content Screens (Phenotypic Screens) in Academia Labs." CHIMIA International Journal for Chemistry 70, no. 12 (2016): 878–82. http://dx.doi.org/10.2533/chimia.2016.878.

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Preston, K. "High-resolution image analysis." Journal of Histochemistry & Cytochemistry 34, no. 1 (1986): 67–74. http://dx.doi.org/10.1177/34.1.3941268.

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In many departments of cytology, cytogenetics, hematology, and pathology, research projects using high-resolution computerized microscopy are now being mounted for computation of morphometric measurements on various structural components, as well as for determination of cellular DNA content. The majority of these measurements are made in a partially automated, computer-assisted mode, wherein there is strong interaction between the user and the computerized microscope. At the same time, full automation has been accomplished for both sample preparation and sample examination for clinical determi
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Dorval, Thierry, Arnaud Ogier, Auguste Genovesio, et al. "Contextual Automated 3D Analysis of Subcellular Organelles Adapted to High-Content Screening." Journal of Biomolecular Screening 15, no. 7 (2010): 847–57. http://dx.doi.org/10.1177/1087057110374993.

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Advances in automated imaging microscopy allow fast acquisitions of multidimensional biological samples. Those microscopes open new possibilities for analyzing subcellular structures and spatial cellular arrangements. In this article, the authors describe a 3D image analysis framework adapted to medium-throughput screening. Upon adaptive and regularized segmentation, followed by precise 3D reconstruction, they achieve automatic quantification of numerous relevant 3D descriptors related to the shape, texture, and fluorescence intensity of multiple stained subcellular structures. A global analys
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Wen, Yuan, Kevin A. Murach, Ivan J. Vechetti, et al. "MyoVision: software for automated high-content analysis of skeletal muscle immunohistochemistry." Journal of Applied Physiology 124, no. 1 (2018): 40–51. http://dx.doi.org/10.1152/japplphysiol.00762.2017.

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Analysis of skeletal muscle cross sections is an important experimental technique in muscle biology. Many aspects of immunohistochemistry and fluorescence microscopy can now be automated, but most image quantification techniques still require extensive human input, slowing progress and introducing the possibility of user bias. MyoVision is a new software package that was developed to overcome these limitations. The software improves upon previously reported automatic techniques and analyzes images without requiring significant human input and correction. When compared with data derived by manu
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Dissertations / Theses on the topic "High-Content automated microscopy"

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Bourguignon, Tom. "Polymeric nanoparticles for the treatment of lung infectious diseases." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASF096.

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Les maladies infectieuses ont de tout temps constitué une menace pour l'humanité. La preuve en a encore été faite récemment par la pandémie de COVID-19 (COronaVIrus Disease 2019). Cependant, cette dernière a également mis en avant le potentiel des nanotechnologies pour le développement de thérapies innovantes, grâce aux vaccins contenant des nanoparticules (NPs) pour la protection et la vectorisation d'ARN messager. Ce travail explore le potentiel de NPs de PLGA (acide poly(lactique-co-glycolique)) pour le traitement de deux maladies pulmonaires : la tuberculose, un mal vieux de plusieurs mill
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Books on the topic "High-Content automated microscopy"

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Sklar, Larry A., ed. Flow Cytometry for Biotechnology. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195183146.001.0001.

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Flow cytometry is a sensitive and quantitative platform for the measurement of particle fluorescence. In flow cytometry, the particles in a sample flow in single file through a focused laser beam at rates of hundreds to thousands of particles per second. During the time each particle is in the laser beam, on the order of ten microseconds, one or more fluorescent dyes associated with that particle are excited. The fluorescence emitted from each particle is collected through a microscope objective, spectrally filtered, and detected with photomultiplier tubes. Flow cytometry is uniquely capable o
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Book chapters on the topic "High-Content automated microscopy"

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DeBernardi, Maria A., Stephen M. Hewitt, and Andres Kriete. "Automated Confocal Imaging and High-Content Screening for Cytomics." In Handbook Of Biological Confocal Microscopy. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-45524-2_46.

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Quaranta, Vito, Darren R. Tyson, Shawn P. Garbett, Brandy Weidow, Mark P. Harris, and Walter Georgescu. "Trait Variability of Cancer Cells Quantified by High-Content Automated Microscopy of Single Cells." In Methods in Enzymology. Elsevier, 2009. http://dx.doi.org/10.1016/s0076-6879(09)67002-6.

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Johnson, R. T., C. S. Downes, and R. E. Meyn. "The Synchronization Of Mammalian Cells." In The Cell Cycle. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780199633951.003.0001.

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Abstract Once upon a time most cell biologists could synchronize mammalian cells in different stages of the cell cycle, albeit with different degrees of success. However, few molecular probes were then available. Now, with the great resurgence of interest in cell-cycle control and the beginnings of molecular understanding, many workers who have recently entered the field require tightly synchronized cells for their experiments. This chapter presents a selection of protocols which should provide synchronized cells in each cycle phase, and in most instances, cells from different parts of each ph
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Perner Horst and Perner Petra. "Similarity-Based Motion Tracking of Cells in Microscopic Images." In Studies in Health Technology and Informatics. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-044-5-851.

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Live-cell assays are used to study the dynamic functional cellular processes in high-content screening of drug discovery processes. The large amount of image data created during the screening requires automatic image-analysis procedures that can describe these dynamic processes. One class of tasks in this application is the tracking of cells and the description of the events and the changes in the cell characteristics so that the desired information can be extracted from it based on data-mining and knowledge-discovery methods. In this paper, we propose a similarity-based approach for motion de
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Conference papers on the topic "High-Content automated microscopy"

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Wang, Haoran, and Qixin Zhou. "Development of Self-Healing Coatings by Linseed Oil Encapsulation." In SSPC 2018. SSPC, 2018. https://doi.org/10.5006/s2018-00084.

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Abstract Self-healing coatings have been promising due to their automatic recovering functions, which can extend the coating lifetime with lower maintenance costs. One of the most effective strategies to achieve self-healing property is to encapsulate healing agents inside microcapsules and integrate the microcapsules into the coating matrix. In this study, linseed oil was successfully encapsulated in poly(urea-formaldehyde) (PUF) shell via in-situ polymerization. Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA) were used to characterize the chemical composit
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Lightley, J., F. Görlitz, S. Kumar, et al. "ROBUST OPTICAL AUTOFOCUS SYSTEM UTILIZING NEURAL NETWORKS APPLIED TO AUTOMATED MULTIWELL PLATE STORM MICROSCOPY." In European Conference on Biomedical Optics. Optica Publishing Group, 2021. http://dx.doi.org/10.1364/ecbo.2021.es1a.1.

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We present a robust, low-cost neural network-based optical autofocus system that can operate over a range of ±100µm with submicron precision, enabling automated high-content super-resolved imaging with a 1.3 NA objective lens
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Görlitz, Frederik, Jonathan Lightley, Sunil Kumar, 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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Mata, Gadea, Miroslav Radojevic, Ihor Smal, Miguel Morales, Erik Meijering, and Julio Rubio. "Automatic detection of neurons in high-content microscope images using machine learning approaches." In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016). IEEE, 2016. http://dx.doi.org/10.1109/isbi.2016.7493276.

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Tolstaya, E., A. Shakirov, and M. Mezghani. "Lithology Prediction from Drill Cutting Images Using Convolutional Neural Networks and Automated Dataset Cleaning." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216418-ms.

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Abstract The task of automating the detection of lithology in drill cuttings is an essential aspect of reservoir engineering. As a wellbore is drilled, the rotating bit breaks down the rocks at the bottom of the hole, and these fragments are then transported to the surface through the drilling mud. These fragments are separated from the mud by a shaker upon reaching the surface, enabling the mud to be recycled. The leftover rock fragments, known as drill cuttings, can provide a wealth of information about the geology of the wellbore, drilling speed, and the oil and gas content in the rocks. On
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Sato, Motoyoshi, Ryo Shimamoto, and Masanobu Mizoguchi. "3-D Image Measurement System for Small Machine Parts With Glossy Metal Surfaces." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7184.

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Keeping core parts of machines in proper condition is essential to improving productivity and quality of products. Metallic wear of knitting needles for circular knitting machines should be controlled within specific conditions. Currently, inspections of them are visually performed by skilled examiners, and automated inspection systems, which can measure 3-D shapes, are demanded. Because the needles have mirror glossed, complexly shaped surfaces, conventional lighting method, such as dome lights and diffuse on-axis lights, cannot irradiate the light evenly throughout the object and causes brig
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Reports on the topic "High-Content automated microscopy"

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Ley, M., Zane Lloyd, Shinhyu Kang, and Dan Cook. Concrete Pavement Mixtures with High Supplementary Cementitious Materials Content: Volume 3. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-032.

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Fly ash is a by-product of coal combustion, made up of particles that are collected through various methods. This by-product has been used successfully as a partial Portland cement replacement in concrete, but the performance predictions of fly ash in concrete have been difficult to predict, especially at high fly ash replacement rates. This study focuses on comparing the performance of concrete with a variety of fly ash mixtures as well as the particle distribution and chemical makeup of fly ash. The slump, unit weight, compressive strength, and isothermal calorimetry tests were used to measu
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