TY - JOUR
AU1 - Men, Yongfan
AU2 - Yu, Qiang
AU3 - Chen, Zitian
AU4 - Wang, Jianbin
AU5 - Huang, Yanyi
AU6 - Guo, Hongwei
AB - Most current methods for analyzing the growth rate of plant seedlings are limited to low-throughput experimental configurations. We have developed an automatic system to investigate the dynamics of the growth of hypocotyls using Arabidopsis as model. This system is able to capture time-lapse infrared images of 24 seedlings automatically, with a spatial resolution of 2 μm per pixel and temporal interval of 5 min. Seedling length is rapidly calculated using automated geometric image-processing algorithms. With this high-throughput platform, we have investigated the genotype dependent difference of growth patterns, as well as the response to plant hormone – ethylene. Our analyses suggest that cytoskeleton function is not required in ethylene-induced hypocotyl inhibition. This novel integrative method can be applied to large-scale dynamic screening of plants, as well as any other image-based biological studies related to dynamic growth.
TI - A high-throughput imaging system to quantitatively analyze the growth dynamics of plant seedlings
JF - Integrative Biology
DO - 10.1039/c2ib20020a
DA - 2012-07-23
UR - https://www.deepdyve.com/lp/royal-society-of-chemistry/a-high-throughput-imaging-system-to-quantitatively-analyze-the-growth-VpvnFtSQUR
SP - 945
EP - 952
VL - 4
IS - 8
DP - DeepDyve
ER -