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Journal
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Biology
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肿瘤细胞球体的高通量图像分析：一个用户友好的软件应用来测量球体的大小自动准确
JoVE Journal
Biology
This content is Free Access.
JoVE Journal
Biology
High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
Please note that all translations are automatically generated.
Click here for the English version.
肿瘤细胞球体的高通量图像分析：一个用户友好的软件应用来测量球体的大小自动准确
DOI:
10.3791/51639-v
•
08:39 min
•
July 08, 2014
•
Wenjin Chen
3
,
Chung Wong
3
,
Evan Vosburgh
3
,
Arnold J. Levine
4
,
David J. Foran
3
,
Eugenia Y. Xu
3
1
Raymond and Beverly Sackler Foundation, New Jersey
,
2
Histopathology and Imaging Shared Resource
,
Rutgers University
,
3
Rutgers Cancer Institute of New Jersey
,
Rutgers University
,
4
School of Natural Sciences
,
Institute for Advanced Study, New Jersey
Chapters
00:05
Title
01:30
Software Installation and Image Preparation
02:48
Image Analysis
04:14
Quality Control and Exporting Results
06:03
SpheroidSizer Efficiency, Accuracy, and Application
07:53
Conclusion
Summary
Automatic Translation
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Automatic Translation
我们提出了一种高通量的图像分析软件应用程序来测量成像的明视场显微术的三维肿瘤球状体的尺寸。此应用程序提供了快速和有效的方式来研究治疗药物的球体，这有利于研究人员谁希望使用球体在药物屏幕的效果。
Tags
Keywords: 3D Tumor Spheroids
High-throughput Image Analysis
Automated Measurement
SpheroidSizer Software
Active Contour Algorithm
Graphical User Interface
Drug Discovery
In Vitro Model
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