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Data Fusion for Synthesis of Developmental Trajectories

Optical cross-section of Drospohilia embryo during the 4th hour of development. Image Credit: Bomyi LimA collaborative project by the Shvartsman, Kevrekidis, and Singer (MATH) groups established a new approach to data fusion in studies of embryogenesis and used it to reconstruct multivariable dynamics of a patterning cascade in the early Drosophila embryo. Their paper made a cover in the PLoS Computational Biology. 

Paul Villoutreix (LSI) and Joakim Anden (MATH) are co-first authors. The work has been supported by funds from the NSF, SEAS, and Weizmann Institute.