@article {47267, title = {Real-time three-dimensional cell segmentation in large-scale microscopy data of developing embryos.}, journal = {Developmental Cell}, volume = {36}, year = {2016}, month = {2016 Jan 25}, pages = {225-40}, abstract = {

We present the Real-time Accurate Cell-shape Extractor (RACE), a high-throughput image analysis framework for automated three-dimensional cell segmentation in large-scale images. RACE is 55{\textendash}330 times faster and 2{\textendash}5 times more accurate than state-of-the-art methods. We demonstrate the generality of RACE by extracting cell-shape information from entire Drosophila, zebrafish, and mouse embryos imaged with confocal and light-sheet microscopes. Using RACE, we automatically reconstructed cellular-resolution tissue anisotropy maps across developing Drosophila embryos and quantified differences in cell-shape dynamics in wild-type and mutant embryos. We furthermore integrated RACE with our framework for automated cell lineaging and performed joint segmentation and cell tracking in entire Drosophila embryos. RACE processed these terabyte-sized datasets on a single computer within 1.4\ days. RACE is easy to use, as it requires adjustment of only three parameters, takes full advantage of state-of-the-art multi-core processors and graphics cards, and is available as open-source software for Windows, Linux, and Mac\ OS.

}, doi = {10.1016/j.devcel.2015.12.028}, author = {Stegmaier, Johannes and Amat, Fernando and Lemon, William C and McDole, Katie and Wan, Yinan and Teodoro, George and Mikut, Ralf and Keller, Philipp J} }