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使用有机体片 3D 模型、机器学习和共声断层扫描量化脑转移肿瘤微环境
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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
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使用有机体片 3D 模型、机器学习和共声断层扫描量化脑转移肿瘤微环境

DOI:
10.3791/61654-v

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09:53 min

•

August 16, 2020

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, , ,
1Department of Internal Medicine,University of Michigan Ann Arbor, 2Rogel Cancer Center,University of Michigan Ann Arbor, 3Department of Neurosurgery,University of Michigan Ann Arbor, 4Department of Cell and Developmental Biology,University of Michigan Ann Arbor

Chapters

  • 00:04Introduciton
  • 00:49Form and Assemble the Microfluidic BBN Device
  • 03:24Cancer Cell Seeding
  • 04:023D Model Imaging Data Conversion
  • 05:06Plane Fitting
  • 06:04Individual Cancer Cell Analysis
  • 07:05Results: Representative Brain Metastatic Tumor Micro-Environment Analyses
  • 08:56Conclusion

Summary

자동 번역

자동 번역

在这里，我们提出了一个协议，用于准备和培养血脑屏障转移肿瘤微环境，然后使用共体成像和人工智能（机器学习）量化其状态。

Tags

Confocal TomographyMachine LearningOrgan-on-a-chipBrain MetastasisTumor MicroenvironmentCell BehaviorDiagnostic ToolMicrofluidic DeviceCollagenAstrocyteEndothelial CellsCell Culture

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