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
Available at: http://works.bepress.com/gmcnamara/47/