Leaf Properties and Growth Measurement

GreenLeafVI is a FIJI plugin that enables high-throughput leaf chlorophyll content measurement using image-based colorimetric analysis, showing accuracy comparable to traditional methods.

The paper examines trade-offs between domestication and drought response in leaf growth across eight Pooideae grass species using machine learning to analyze leaf cell kinematics.

This study investigates the developmental mechanisms of sharp leaf apices in Triadica sebifera, finding that biregional division angles, not cell expansion, drive apex shape and concave joint formation.

AlGrow is a software tool that enables accurate and efficient area and growth analysis of plant images by defining color hulls and automating annotation.

The paper introduces two methods to standardize root measurement aggregation across multiple scans using image concatenation and statistical analysis, showing they produce consistent results except for median diameter.

This paper introduces a method to model Cannabis leaf shape using pseudo-landmarks, enabling accurate prediction of genetic and developmental traits.

The paper develops image-based methods to estimate biomass and fruit number in Arabidopsis thaliana using regular camera images and statistical models.