Harnessing Computational Power for Advanced Image Analysis
Our laboratory is equipped with a robust computing and image analysis infrastructure designed to meet the demanding requirements of modern research. This system is founded on two key pillars: high-performance computing hardware and advanced image analysis software.
High-Performance Computing Hardware
- GPU-Accelerated Multi-Core Server Solution
- Local GPU-Accelerated Multi-Core Servers: These powerful machines, equipped with multiple GPUs and CPUs, enable us to efficiently handle complex tasks such as 3D image reconstruction and deep learning.
- NTNU-SINTEF HPC Facilities: We also leverage the shared computing resources provided by NTNU and SINTEF, ensuring access to cutting-edge computational power when needed.
- High-Speed Storage System: To accommodate large datasets and facilitate rapid access, our system incorporates a combination of SSDs (Solid-State Drives) for fast read/write operations and HDDs (Hard Disk Drives) for long-term storage.
Advanced Image Analysis Software Suite
- Commercial Software:
- AVIZO: A versatile platform with three essential modules:
- DVC Extension: Tracks 3D deformation and internal structural changes.
- XLab Extension: Simulates material properties for virtual experiments.
- XWind Extension: Prepares high-quality meshes for simulations.
- AVIZO: A versatile platform with three essential modules:
- Open-Source Software:
- Python-Based Tools: Our researchers utilize Python libraries to develop custom workflows and leverage powerful machine learning algorithms.
- Java-Based Tools: ImageJ/Fiji provides a flexible and extensible environment for image analysis, ensuring reproducibility and collaboration.
Equipped with state-of-the-art hardware and software, our lab is primed to solve complex research problems and drive breakthroughs in non-destructive material characterization and imaging across various fields.
