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| ===== Toward Automatic Phenotyping of Developing Embryos from Videos ===== | ===== Toward Automatic Phenotyping of Developing Embryos from Videos ===== | ||
| + | // | ||
| + | We describe a trainable system for analyzing videos of developing | ||
| + | //C. elegans// embryos. The system automatically detects, segments, and | ||
| + | locates cells and nuclei in microscopic images. The system was | ||
| + | designed as the central component of a fully-automated phenotyping | ||
| + | system. | ||
| + | network trained classify each pixel into five categories: cell wall, | ||
| + | cytoplasm, nucleus membrane, nucleus, outside medium; (2) an | ||
| + | Energy-Based Model which cleans up the output of the convolutional | ||
| + | network by learning local consistency constraints that must be | ||
| + | satisfied by label images; (3) A set of elastic models of the embryo | ||
| + | at various stages of development that are matched to the label | ||
| + | images. | ||
| <box 99% orange> | <box 99% orange> | ||
| - | Feng Ning, Damien Delhomme, Yann LeCun, Fabio Piano, Léon Bottou and Paolo Emilio Barbano: Toward Automatic Phenotyping of Developing Embryos from Videos, | + | Feng Ning, Damien Delhomme, Yann LeCun, Fabio Piano, Léon Bottou and Paolo Emilio Barbano: |
| [[http:// | [[http:// | ||