1. A. White, P.G. Cipriani, H.-L. Kao, B. Lees, D. Geiger, E.D. Sontag, K. Gunsalus, and F. Piano. Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data. In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3089-3096, 2010. [PDF] Abstract:

   This paper presents a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stages. The system is in current use in a functioning C. elegans laboratory and has processed over two hundred thousand images for lab users.

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