Efficient processing and analysis of large-scale light-sheet microscopy data

@article{Amat2015EfficientPA,
  title={Efficient processing and analysis of large-scale light-sheet microscopy data},
  author={Fernando Amat and Burkhard H{\"o}ckendorf and Yinan Wan and William C Lemon and Katie McDole and Philipp J. Keller},
  journal={Nature Protocols},
  year={2015},
  volume={10},
  pages={1679-1696}
}
Light-sheet microscopy is a powerful method for imaging the development and function of complex biological systems at high spatiotemporal resolution and over long time scales. Such experiments typically generate terabytes of multidimensional image data, and thus they demand efficient computational solutions for data management, processing and analysis. We present protocols and software to tackle these steps, focusing on the imaging-based study of animal development. Our protocols facilitate (i… CONTINUE READING
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Collaborative annotation toolkit for massive amounts of image data (CATMAID) GitHub repository https://github.com/acardona/CATMAID

  • A. Cardona
  • 2015

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