학술논문

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.
Document Type
Article
Source
PLoS Computational Biology. 4/19/2018, Vol. 14 Issue 3, p1-18. 18p. 2 Diagrams, 4 Graphs.
Subject
*EMBRYONIC physiology
*HUMAN embryos
*HUMAN embryology
*DEVELOPMENTAL biology
*CHILD development
Language
ISSN
1553-734X
Abstract
State-of-the-art light-sheet and confocal microscopes allow recording of entire embryos in 3D and over time (3D+t) for many hours. Fluorescently labeled structures can be segmented and tracked automatically in these terabyte-scale 3D+t images, resulting in thousands of cell migration trajectories that provide detailed insights to large-scale tissue reorganization at the cellular level. Here we present EmbryoMiner, a new interactive open-source framework suitable for in-depth analyses and comparisons of entire embryos, including an extensive set of trajectory features. Starting at the whole-embryo level, the framework can be used to iteratively focus on a region of interest within the embryo, to investigate and test specific trajectory-based hypotheses and to extract quantitative features from the isolated trajectories. Thus, the new framework provides a valuable new way to quantitatively compare corresponding anatomical regions in different embryos that were manually selected based on biological prior knowledge. As a proof of concept, we analyzed 3D+t light-sheet microscopy images of zebrafish embryos, showcasing potential user applications that can be performed using the new framework. [ABSTRACT FROM AUTHOR]