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Journal / Cancer Research / 臓器オンAチップ3Dモデル、機械学習、共焦点断層法による脳転移性腫瘍微小環境の定量化…
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JoVE Journal Cancer Research
臓器オンAチップ3Dモデル、機械学習、共焦点断層法による脳転移性腫瘍微小環境の定量化
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臓器オンAチップ3Dモデル、機械学習、共焦点断層法による脳転移性腫瘍微小環境の定量化

Article DOI: 10.3791/61654-v • 09:53 min • August 16th, 2020
August 16th, 2020 •
*1,2, *1,2, 2,3,4, 1,2
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
* These authors contributed equally

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ここでは、血液脳関門転移性腫瘍微小環境を調製し培養し、共焦点イメージングと人工知能(機械学習)を用いてその状態を定量化するためのプロトコルを提示する。

Tags

がん研究、問題162、腫瘍、微小環境、がん、臓器オンチップ、機械学習、人工知能、共焦点顕微鏡、長期細胞培養
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