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We are analyzing https://link.springer.com/article/10.1186/s13287-022-02902-3.

Title:
Assay establishment and validation of a high-throughput organoid-based drug screening platform | Stem Cell Research & Therapy
Description:
Background Organoids are three-dimensional structures that closely recapitulate tissue architecture and cellular composition, thereby holding great promise for organoid-based drug screening. Although growing in three-dimensional provides the possibility for organoids to recapitulate main features of corresponding tissues, it makes it incommodious for imaging organoids in two-dimensional and identifying surviving organoids from surrounding dead cells after organoids being treated by irradiation or chemotherapy. Therefore, significant work remains to establish high-quality controls to standardize organoid analyses and make organoid models more reproducible. Methods In this study, the Z-stack imaging technique was used for the imaging of three-dimensional organoids to gather all the organoids’ maximum cross sections in one imaging. The combination of live cell staining fluorescent dye Calcein-AM and ImageJ assessment was used to analyze the survival of organoids treated by irradiation or chemotherapy. Results We have established a novel quantitative high-throughput imaging assay that harnesses the scalability of organoid cultures. Using this assay, we can capture organoid growth over time, measure multiple whole-well organoid readouts, and show the different responses to drug treatments. Conclusions In summary, combining the Z-stack imaging technique and fluorescent labeling methods, we established an assay for the imaging and analysis of three-dimensional organoids. Our data demonstrated the feasibility of using organoid-based platforms for high-throughput drug screening assays. Graphical Abstract
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Education
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Content Management System {📝}

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Custom-built

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Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,626,432 visitors per month in the current month.

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The income method remains a mystery to us.

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Keywords {🔍}

organoids, staining, pubmed, imaging, organoid, article, drug, fig, google, scholar, image, tumor, zstack, size, calceinam, intestinal, cell, field, data, area, cells, fluorescent, microspheres, matrigel, cancer, screening, fluorescence, cas, analysis, method, highthroughput, assay, bright, group, showed, number, surviving, dye, compared, pbs, day, central, time, layers, images, living, solution, treatment, small, shanghai,

Topics {✒️}

enhancing intestinal-stem-cell survival high-throughput drug screening organoid-based drug screening 3d high-content screening stem-cell-derived organoids deep learning-based recognition 3d-based chemical screening high-resolution 3d imaging z-stack imaging assay executing z-stack techniques nis-elements ar software z-stack imaging technique z-stack imaging method high-throughput imaging article download pdf maximum cross-sectional area cell stem cell establish high-quality controls achieve high-quality images d1 medical technology high-throughput formation z-stack step size patient-derived 3d organoids z-stack relative parameters high-dose ionizing radiation patient-derived tumor organoids organoid-based platforms significantly higher survival rates z-axis layer scanning single-layer imaging obtained total cross-sectional area high-content imaging xinxin rao z-stack technology z-stacked image single-layer photograph acute gastrointestinal syndrome z-stack technique guoqiang hua representative single-layer images combinatorial drug screening forskolin-induced swelling z-stack image automated organoid platform organoid imaging assay privacy choices/manage cookies cell-based biosensors high-quality image full access cell rep med

Schema {🗺️}

WebPage:
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         headline:Assay establishment and validation of a high-throughput organoid-based drug screening platform
         description:Organoids are three-dimensional structures that closely recapitulate tissue architecture and cellular composition, thereby holding great promise for organoid-based drug screening. Although growing in three-dimensional provides the possibility for organoids to recapitulate main features of corresponding tissues, it makes it incommodious for imaging organoids in two-dimensional and identifying surviving organoids from surrounding dead cells after organoids being treated by irradiation or chemotherapy. Therefore, significant work remains to establish high-quality controls to standardize organoid analyses and make organoid models more reproducible. In this study, the Z-stack imaging technique was used for the imaging of three-dimensional organoids to gather all the organoids’ maximum cross sections in one imaging. The combination of live cell staining fluorescent dye Calcein-AM and ImageJ assessment was used to analyze the survival of organoids treated by irradiation or chemotherapy. We have established a novel quantitative high-throughput imaging assay that harnesses the scalability of organoid cultures. Using this assay, we can capture organoid growth over time, measure multiple whole-well organoid readouts, and show the different responses to drug treatments. In summary, combining the Z-stack imaging technique and fluorescent labeling methods, we established an assay for the imaging and analysis of three-dimensional organoids. Our data demonstrated the feasibility of using organoid-based platforms for high-throughput drug screening assays.
         datePublished:2022-05-26T00:00:00Z
         dateModified:2022-05-26T00:00:00Z
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            Fluorescence
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            Stem Cells
            Cell Biology
            Regenerative Medicine/Tissue Engineering
            Biomedical Engineering and Bioengineering
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      headline:Assay establishment and validation of a high-throughput organoid-based drug screening platform
      description:Organoids are three-dimensional structures that closely recapitulate tissue architecture and cellular composition, thereby holding great promise for organoid-based drug screening. Although growing in three-dimensional provides the possibility for organoids to recapitulate main features of corresponding tissues, it makes it incommodious for imaging organoids in two-dimensional and identifying surviving organoids from surrounding dead cells after organoids being treated by irradiation or chemotherapy. Therefore, significant work remains to establish high-quality controls to standardize organoid analyses and make organoid models more reproducible. In this study, the Z-stack imaging technique was used for the imaging of three-dimensional organoids to gather all the organoids’ maximum cross sections in one imaging. The combination of live cell staining fluorescent dye Calcein-AM and ImageJ assessment was used to analyze the survival of organoids treated by irradiation or chemotherapy. We have established a novel quantitative high-throughput imaging assay that harnesses the scalability of organoid cultures. Using this assay, we can capture organoid growth over time, measure multiple whole-well organoid readouts, and show the different responses to drug treatments. In summary, combining the Z-stack imaging technique and fluorescent labeling methods, we established an assay for the imaging and analysis of three-dimensional organoids. Our data demonstrated the feasibility of using organoid-based platforms for high-throughput drug screening assays.
      datePublished:2022-05-26T00:00:00Z
      dateModified:2022-05-26T00:00:00Z
      pageStart:1
      pageEnd:14
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s13287-022-02902-3
      keywords:
         Organoid
         Z-stack
         Fluorescence
         High-throughput
         Drug screening
         Stem Cells
         Cell Biology
         Regenerative Medicine/Tissue Engineering
         Biomedical Engineering and Bioengineering
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            name:Xiaomeng Li
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            name:Jialing Zhang
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            name:Shaobo Mo
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      name:Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, China
      name:Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, China
      name:Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, China
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      name:Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, China
      name:Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, China
      name:Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
      name:Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
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      name:Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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      name:Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, China
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