ITK Release 4/Microscopy: Difference between revisions
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** Examples: | ** Examples: | ||
*** Brainbow dataset = 11000x15000x1000 x (RGB) = 500 Gigabytes for one 3D image. | *** Brainbow dataset = 11000x15000x1000 x (RGB) = 500 Gigabytes for one 3D image. | ||
*** In-toto imaging dataset = 1000x1000x200x1000x5 ~ 500 GB for one imaging session (one organ) | |||
*** Data acquisition | *** Data acquisition | ||
**** Today 100Gb / day | **** Today 100Gb / day | ||
Revision as of 17:10, 3 August 2010
Microscopy
Overview
Microscopy applications bring new challenges to ITK at many different levels
- Very Large datasets (TeraBytes)
- Examples:
- Brainbow dataset = 11000x15000x1000 x (RGB) = 500 Gigabytes for one 3D image.
- In-toto imaging dataset = 1000x1000x200x1000x5 ~ 500 GB for one imaging session (one organ)
- Data acquisition
- Today 100Gb / day
- Tomorrow 1 Tb / day
- 3D Stacks of 250Mb (8 seconds to acquire, 900 to deconvolve)
- J.J. Field Optics Express 2010.
- Examples:
- Temporal data (2D+t, 3D+t)
- Multiple Components
- Very large number of objects of interest per image
Technical Details
The toolkit needs
- More explicit representation of time and channels
- Management of multi-resolution datasets
- Management of multi-gigabyte datasets (TeraBytes being the standard to look for in 5 years)
- Richer set of classes for object representations
