Fully automated organ bud detection and segmentation for Laser Capture Microdissection applications

Laser Capture Microdissection is a technique capable of isolating and extracting specific groups of cells of interest from microscopic regions in tissue samples. The final extraction result relies completely on the operator´s ability to discriminate the tissue of interest, a very difficult task in the case of an embryo organ bud which doesn´t even resemble the future organ. In this work we present a fully automated approach for localization of organ buds into embryos and segmentation of the corresponding tissue using topological, textural and morphological features processed by a Machine Learning approaches, and that can be generalized for any desired bud, species, developmental stage and preparation.