Quantitative genetics has a long history in plants: It has been used to study specific
biological processes, identify the factors important for trait evolution, and breed new crop …

Conventional methods of plant cell analysis rely on growing plant cells in soil pots or
agarose plates, followed by screening the plant phenotypes in traditional greenhouses and …

To fully describe gene expression dynamics requires the ability to quantitatively capture
expression in individual cells over time. Automated systems for acquiring and analyzing real …

Plants are one of the most fascinating and important groups of organisms living on Earth.
They serve as the conduit of energy into the biosphere, provide food, and shape our …

Modern imaging approaches enable the acquisition of 3D and 4D datasets capturing plant
organ development at cellular resolution. Computational analyses of these data enable the …

The tracking of densely packed plant cells across microscopy image sequences is very
challenging, because their appearance change greatly over time. A local graph matching …

Existing data association techniques mostly focus on matching pairs of data-point sets and
then repeating this process along space-time to achieve long term correspondences …

Modern live imaging technique enables us to observe the internal part of a tissue over time
by generating serial optical images containing spatio-temporal slices of hundreds of tightly …

Automated tracking of densely packed plant cells in time-lapse live imaging datasets is a
challenging task. A local graph matching algorithm was proposed to track such cells by …