MPI-LIPS5

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Line 11: Line 11:
 
|applications=Suitable for 3D, 4D image processing analysis and visualisation, deconvolution, large datasets.
 
|applications=Suitable for 3D, 4D image processing analysis and visualisation, deconvolution, large datasets.
 
|image=MPI-LIPS5.jpg
 
|image=MPI-LIPS5.jpg
|cpu=Dual Quad core intel xenon w/ hyperthreading (16 CPU threads)
+
|cpu=Intel Xeon E5540 Dual core, 16 threads
|ram=44 GB
+
|ram=108 GB
|graphics=nVidia GeForce GTX 296 (dual GPU core, large texture memory)
+
|graphics=NVidia GeForce GTX 295 (dual GPU core, 1.75 GB memory)
|display=2x Samsung 3D ready LCD 100Hz.
+
|display=1 x 22", 1 x 20"
|os1=Microsoft Windows
+
|os1=Microsoft Windows 7 64-bit
|os2=Linux
+
|os2=Linux 64-bit
 
|software0=Fiji
 
|software0=Fiji
 
|software1=Imaris 64 bit
 
|software1=Imaris 64 bit

Revision as of 17:59, 10 November 2014

Description

Computer

Dell Precision PC workstation running Windows XP x64 and Ubuntu Linux 64

Suitable for Suitable for 3D, 4D image processing analysis and visualisation, deconvolution, large datasets..

MPI-LIPS5.jpg

Directions

Logo MPI-CBG.jpg
MPI-CBG-Lmf-logo-big.pngMPI-CBG LMF (MPI-CBG, Library (Rear End))

Booking

https://python-srv1.mpi-cbg.de/lmf-ipf/cgi-bin/index.py


Details

hardware
  • CPU: Intel Xeon E5540 Dual core, 16 threads
  • RAM: 108 GB
  • graphics card: NVidia GeForce GTX 295 (dual GPU core, 1.75 GB memory)
  • display: 1 x 22", 1 x 20"
operating system
Microsoft Windows 7 64-bit
Linux 64-bit
software
Fiji
Imaris 64 bit
Volocity 64 bit
Andor IQ offline
AutoQuant X2 64 bit (Deconvolution)



Personal tools