Leaf Properties and Growth Measurement

Introducing entropy-based metrics for quantifying edge- and macro-shape complexity in leaves and beyond

This paper introduces entropy-based metrics to quantify leaf edge and macro-shape complexity, showing improved performance in predicting chemical traits and aligning with human perception.

LeafContourEFD: a reproducible workflow for elliptic Fourier analysis with orientation normalization and lateral asymmetry

LeafContourEFD provides a reproducible workflow for elliptic Fourier analysis with orientation normalization, improving shape analysis by removing orientation-related variance.

Disentangling blade and vasculature shape in grapevine leaves

This study uses topological data analysis and deep learning to show that grapevine leaf blade and vasculature shapes are predictively linked, suggesting a one-to-one relationship between the two tissues.

Plant Face: Machine learning decodes genetic, environmental and developmental imprints in leaf appearance

This paper uses deep learning to show that individual plant leaves are unique, revealing genetic, environmental, and developmental information in their appearance.

GreenLeafVI: A FIJI plugin for high-throughput analysis of leaf chlorophyll content

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

Does domestication trade-off stress tolerance for leaf growth? A search for evidence across eight Pooideae grass species

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.

Biregional division angles generate sharp apex and concave joints in leaves

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.

The cellular architecture of wheat leaves supports a conservation of spatial patterning of the mesophyll in grasses

This study reveals a conserved mesophyll cellular patterning in wheat leaves across ploidy levels, suggesting an ancient evolutionary trait in grasses.

AlGrow: a graphical interface for easy, fast and accurate area and growth analysis of heterogeneously colored targets.

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

Divide and conquer: Using RhizoVision Explorer to aggregate data from multiple root scans using image concatenation and statistical methods

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.

Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities

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

Image-based methods for phenotyping growth dynamics and fitness in Arabidopsis thaliana

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