Anthocyanin is known for positive health beneficial effects that including reduces age related oxidative stress and inflammatory responses. It was produced by vegetable crops and a lettuce is one of the crops. The general pathway of anthocyanin expression is well defined but it is not clear how environments effects on anthocyanin accumulation in a lettuce. Therefore we initiated to study interaction between anthocyanin expression and environment factors. Frist, we applied RGB leaf images in a lettuce to calculate anthocyanin areas in a leaflet with two different cultivars, different developmental stages, and different environments. Later, we attempted to capture RNA expression level with next generation sequence (NGS) RNA sequencing method called RNA-seq. As a result, combined two technologies showed that quantitate phenotypic data help to understand the gene expression of anthocyanin in lettuce cultivars.