Workstations

A variety of standard to high-end computer workstations installed with various open-source and commericial software packages.

Server rack

Standard Workstations

Workstations for parallel high content plate analysis and less demanding image analyses. (Room HMRB 126)

WorkstationSpecificationsApplicationsSoftware installed
WS1CPU: Intel® Xeon® E5-1650 0 @ 3.20GHz (6 Core)
GPU: NVIDIA Quadro 2000
RAM: 32GB DDR3 1600MHz
Storage: 500GB SSD SATA
10GbE Ethernet
OS: Windows 7 Pro
High content plate analysisMetaXpress 5.3 and Custom Module Editor
FIJI/ImageJ
QuPath 5.0
OlyVIA
WS2CPU: Intel® Core™ 17-860 @ 2.80GHz (4 Core)
GPU: ATI Radeon HD 4600
RAM: 16GB DDR3 1333MHz
Storage: 1TB SSD SATA + 1TB HDD
OS: Windows 7 Enterprise
High content plate analysis
Confocal image analysis
MetaXpress 5.3 and Custom Module Editor
Nikon NIS Elements AR Analysis
FIJI/ImageJ
QuPath 5.0
OlyVIA
WS3CPU: Intel® Core™ 17-860 @ 2.80GHz (4 Core)
GPU: ATI Radeon HD 4600
RAM: 16GB DDR3 1333MHz
Storage: 1TB SSD SATA + 1TB HDD
OS: Windows 7 Enterprise
High content plate analysis
Confocal image analysis
Slidescanner image analysis
MetaXpress 5.3 and Custom Module Editor
Olympus CellSens Dimension Desktop
Nikon NIS Elements AR Analysis
FIJI/ImageJ
QuPath 5.0
OlyVIA

High End Workstations

Workstations equipped with multi-core CPUs, high-end GPUs and large RAM memory capacities. (Room HMRB 104)

WorkstationSpecificationsApplicationsSoftware Installed
WS5CPU: Intel Core i7-7820X 3.6GHz (8 cores/16 threads)
GPU: Radeon 8GB RX 580
RAM: 128GB DDR4 3200MHz RAM
HDD: 1TB NVMe M.2 PCIe x3 SSD, 2TB NVME M.2 PCIe x3 SSD, 4TB HDD
10GbE Ethernet
OS: Microsoft Windows 10 Pro
2D/3D Analysis
Slidescanner Image Analysis
Imaris 10.2
CellSens Dimension Desktop (Count & Measure Module)
QuPath 0.61
Ilastik 0.40
Matlab 2023b
Fiji/ImageJ
WS6CPU: 2 x Xeon® E5-2620 v4, 2.1GHz (16 cores/32 threads)
GPU: GTX 1080 8GB
RAM: 256GB DDR4 2400MHz ECC 
HDD: 1TB Samsung 850 Pro SATA III SSD, 2TB NVME M.2 PCIe x3 SSD, 4TB HDD x 2
Hot swap SATA III dock for 3.5" and 2.5" internal HDDs
Wacom Cintiq Pro 24 (4K Tracing Tablet)
10GbE Ethernet
OS: Microsoft Windows 10 Pro and Ubuntu 16.04 LTS
2D/3D Deconvolution
Large dataset analysis
Tracing
Leica LASX Analysis (FLIM)
SVI Huygens Essential v18
QuPath 0.61
Ilastik 0.40
Matlab 2023b
Fiji/ImageJ
WS4 (RESTORE)Comino Grando RM Server
CPU: AMD Threadripper 7975WX (32 core/64 threads)
GPU: RTX 4090 GAMING 24GB
RAM: 512GB DDR5 5600MHz CL46 REG ECC
HDD: 2TB M.2 NVMe 2280 SSD (PCIe 4.0), 2 x 8TB M.2 NVMe 2280 SSD, 20TB WD Red Pro HDD
10GbE Ethernet
OS: Microsoft 10 IoT LTSC
3D Analysis
Large Dataset Analysis
Imaris 10.2
QuPath 0.61
Ilastik 0.40
Matlab 2023b
Fiji/ImageJ
WS7Comino Grando RM Server
Internals same as WS4 except:
GPU: NVIDIA RTX 6000 ADA 48GB
RAM: 1024GB DDR5 5600MHz CL46 REG ECC
FLIM
STED
3D Analysis
Deep/Machine Learning Training
Leica LASX Analysis (FLIM/FCS)
Imaris 10.2
QuPath 0.61
Ilastik 0.40
Matlab 2023b
Fiji/ImageJ
WS8Comino Grando RM Server
Internals same as WS4 except:
Wacom Cintiq Pro 24 (4K Tracing Tablet)
2D/3D Analysis
Deep/Machine Learning Training
Tracing
Imaris 10.2 (Satellite License Only)
QuPath 0.61
Ilastik 0.40
Matlab 2023b
Fiji/ImageJ