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Image Z-series wrt NVidia Titan 6 Gb GPU CUDA Deconvolution
  • George McNamara, M.D. Anderson Cancer Center

Image Z-series wrt NVidia Titan 6 Gb GPU CUDA Deconvolution

This ZIP file contains raw and deconvolved data series from George McNamara, Laurence J.N. Cooper lab, M.D. Anderson Cancer Center. I have also included our lab instructions, and a screenshot of the current CUDA deconvolution settings (for dry objective lenses, Manish Butte wrote me to use the immersion medium refractive index, air = 1.0).


Leica DMI6000 inverted fluorescence microscope, Lumencor SOLA LED light source, Leica "L5" GFP filter cube (480/40ex, 505dm, 527/30em).

Leica 20x/0.75 NA objective lens, 1.6x optovar, for 325 nm XY piel size. For this dataset, I chose to acquire 200 nm Z-step size (128 planes) in order to evaluate GPU deconvolution with every plane (128 planes), every other plane (64 planes), and every fourth plane (32 planes).

GPU card: NVidia TITAN 6 Gb.

Software used is Bruce and Butte GPU CUDA Deconvolution,

(note: all Optics Express papers are open access).

Tip: B&B CUDA Deconvolution is very fast on the TITAN 6 Gb card. Manish Butte mentioned new (2014 Q1) TITAN models are available with 12 Gb ram (see TITAN Z or Black).

  • NVidia TITAN 6 Gb GPU,
  • CUDA Deconvolution,
  • GFP T-cells
Publication Date
Spring April 18, 2014
Data are facts, facts are not subject to copyright. You are welcome to re-use the "SOP" I wrote (would be nice to 'give credit where credit is due'). Please ask Prof. Manish Butte for permission to use his dialog's screenshots (they can also be found in the Bruce and Butte paper, which you should cite).
Citation Information
George McNamara. "Image Z-series wrt NVidia Titan 6 Gb GPU CUDA Deconvolution" (2014)
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