High-Performance Computing Applications for Visualization of Large Microscopy Images - High-Throughput Image Reconstruction and Analysis - page 319

collected from a variety of instruments. However, the problems need a good solu-
tion in visualization to help in our understanding of the data. Scientific visualization
has always proven to be a challenge for the best and fastest computing machines as
scientific datasets, such as those generated by microscopy, get bigger every year. It
is apparent that computers will be playing catch-up with the data for several years
to come. Though the problem looks overwhelming at first glance, with the advent
of fast and inexpensive optical networks and graphics and computing hardware,
it is possible to tailor high-performance scientific visualization pipelines to help
alleviate large data exploration problems to a great degree. Efficient parallel data
handling algorithms and high-resolution scalable displays also play a key role in
visualizing these datasets.

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