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High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
JoVE Journal
Biologia
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JoVE Journal Biologia
High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

DOI:
10.3791/51639-v

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08:39 min

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July 08, 2014

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, , , , ,
1Raymond and Beverly Sackler Foundation, New Jersey, 2Histopathology and Imaging Shared Resource,Rutgers University, 3Rutgers Cancer Institute of New Jersey,Rutgers University, 4School of Natural Sciences,Institute for Advanced Study, New Jersey

Capitoli

  • 00:05Titolo
  • 01:30Software Installation and Image Preparation
  • 02:48Image Analysis
  • 04:14Quality Control and Exporting Results
  • 06:03SpheroidSizer Efficiency, Accuracy, and Application
  • 07:53Conclusion

Summary

Traduzione automatica

Traduzione automatica

We present a high-throughput image analysis software application to measure the size of three-dimensional tumor spheroids imaged with bright-field microscopy. This application provides a fast and effective way to examine the effects of therapeutic drugs on spheroids, which is beneficial for researchers who wish to use spheroids in drug screens.

Tags

3D Tumor SpheroidsHigh-throughput Image AnalysisAutomated MeasurementSpheroidSizer SoftwareActive Contour AlgorithmGraphical User InterfaceDrug DiscoveryIn Vitro Model

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