Modern microscopy produces large multi-dimensional datasets, which creates new challenges for data storage, processing and visualization. In this talk, Dr. Loic Royer uses a developing drosophila melanogaster embryo to explain how to solve some of the challenges produced by multi-dimensional microscopy datasets.
Concepts: Large dataset, multi-dimensional dataset, store, process, and visualize large datasets, voxels, lossless and lossy compression algorithms, deconvolution, rendering, fibonacci rendering
- What are the common techniques used to improve multi-dimensional image storage efficiency?
- What are the typical image processing steps after image acquisition?
- Why is max projection not always the best way to visualise a 3D light microscopy image?
Dr. Loic Royer is a Group Leader at the Chan Zuckerberg Biohub. Royer initially studied engineering and then obtained a master’s degree in artificial intelligence followed by a doctoral degree in bioinformatics from the Dresden University of Technology in Germany. He continued his scientific training as a postdoc in the laboratory of Dr. Gene Myers,… Continue Reading
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