Analyzing data and coordinate transformations among different visualization datasets was performed using Matlab (The Math Works, Natick, MA, USA) in integration with Camino, Diffusion Toolkit, Trackvis, Paraview, ITKsnap and Amira (FEI). Data elaboration was performed on several platforms. Image processing was performed on a Precision Tower Workstation Intel Xeon Processor E5-2637, 3.5 GHz, 64 bit, equipped with an NVIDIA GeForce GTX 1080 graphics card, 128 GB RAM, a fast-drive PCI 512 GB SSD Samsung 950 Pro, running Windows 10. Codes for the 3D segmentation were written using Matlab, Python (Python Software Foundation, Wilmington, DE, USA), and Tensorflow. Matlab-based multilayer feed-forward neural networks training was performed locally on a GTX 1080 graphic card. Tensorflow-based CNN training was performed on the ERIS One computing cluster utilizing two Tesla P100 Nvidia GPUs. Skeletonization and graph analysis were performed on 10 virtual machines instances on Azure (D2s-64 series, 128 GB RAM).
Paraview
Manufactured by MathWorks
Sourced in United States
ParaView is an open-source, multi-platform data analysis and visualization application. It is designed to handle large datasets and provides a wide range of visualization and analysis tools.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using paraview
1
Multi-Platform Neuroimaging Data Analysis
2
Modeling Vascular Oxygen Tracer Transport
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Vascular architectures were generated in Gmsh [28] and used as input to solve all PDEs via the finite element method with FEniCS [29] ,
both available as open-source softwares. Since the tracer distribution depends on the stationary oxygen distribution, Eq. ( 1) was solved first.
The P distribution was saved and used as input to solve equations Eqs. (2a) and (2b). The time-dependent tracer distribution was evaluated between 0 and 120 min p.i.. Results were analysed by oxygen histograms, plots of C b as a function of P, and TACs. The behaviour of TBR and FHP with respect to the hypoxic fraction (HF, fractional volume with P < 5 mmHg) was studied. All plots were generated using MA-TLAB R2016b (The Mathworks Inc., MA), while the visualization of P and tracer distributions was performed using the open-source software Paraview [30] .
both available as open-source softwares. Since the tracer distribution depends on the stationary oxygen distribution, Eq. ( 1) was solved first.
The P distribution was saved and used as input to solve equations Eqs. (2a) and (2b). The time-dependent tracer distribution was evaluated between 0 and 120 min p.i.. Results were analysed by oxygen histograms, plots of C b as a function of P, and TACs. The behaviour of TBR and FHP with respect to the hypoxic fraction (HF, fractional volume with P < 5 mmHg) was studied. All plots were generated using MA-TLAB R2016b (The Mathworks Inc., MA), while the visualization of P and tracer distributions was performed using the open-source software Paraview [30] .
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!