2010
- ▪A. White, P.G. Cipriani, H.-L. Kao, B. Lees, D. Geiger, E.D. Sontag, K. Gunsalus, 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), pp. 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.