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The expanded 3D Deconvolution module extends the base application's ability to remove out-of-focus information from 3D fluorescence data. The 3D Deconvolution module includes two algorithms:
Nearest Neighbours Deconvolution
A rapid way to deblur fluorescence data. The algorithm uses the plane above and below the plane of interest to compute and subtract the fraction of the data that is out-of-focus.
Specifications
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Multiple processor optimization
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Speed optimized
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Programmable batch deconvolution
Constrained Iterative Deconvolution (CI)
A true image restoration tool. Slidebook's CI deconvolution can quantitatively reassign out-of-focus information in 3D data while improving both axial and lateral resolution.
Specifications
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Noise smoothing
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Edge padding
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Individual channel programmability
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PSF guide
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PSF database
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Uses calculated or measured PSFs
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Speed optimized
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Programmable batch deconvolution
Features
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Can use either measured point spread functions (PSFs) or theoretical computed PSF's
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PSF collection guide
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PSF database
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Appropriate PSF automatically selected from image metadata
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Extensive selection of image processing filters and display tools
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CI Decovolution includes extensive speed optimizations and can handle very large data sets (up to 350MB per wavelength for a system with 2 GB RAM)
