A Microimage-Processing-Based Technique for Detecting Qualitative and Quantitative Characteristics of Plant Cells

When plants encounter external environmental stimuli, they can adapt to changes through a complex network of metabolism–gene expression–metabolism within the plant cell. In this process, in characteristics cells are phenotype that is responsive and directly linked network. Accurate identification large numbers quantitative analysis their cellular much-needed experiment for in-depth metabolism gene expression. This study aimed develop an automated, accurate, high-throughput method, ACFVA, single-plant-cell identification. ACFVA quantitatively address variety biological questions number automatically, including standard assays (for example, cell localization, count, size) morphological different fluorescence cells). Using phenomics studies be carried out at level then combined with ever-changing sequencing technologies molecular biology synthetic from another direction.