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Automated microfluidic plant chips-based plant phenotyping system

Authors :
Yanhai Yin
Trevor M. Nolan
Xinran Wang
Liang Dong
Maneesha Aluru
Huawei Jiang
Source :
NEMS
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2017 IEEE 12th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)
Accession number :
edsair.doi...........be433a035baaf2f11eeb3e4b301abe26