Automated microfluidic plant chips-based plant phenotyping system
Huawei Jiang, Xinran Wang, Trevor M. Nolan, Yanhai Yin, Maneesha Aluru, Liang Dong
- 发表年份
- 2017
- 引用次数
- 7
摘要
We report on the development of an enhanced and robust microfluidic plant chip-based growth and monitoring system for high-throughput phenotyping of Arabidopsis thaliana. The system consists of multiple vertical plant chips, a microfluidic hormone concentration gradient generator, multiple simple gravity pumps, and a robotic arm with a stereoscope for plant imaging. We validate this system by phenotyping the growth of Arabidopsis plants in medium containing different hormone concentrations, in a real-time manner. Our results show that Arabidopsis growth and hormone response in this system closely replicates growth on standard laboratory petri plates.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991