From industrial products to biological specimens. We will showcase everything beautifully and with comfortable operation.
Extract and analyze the directional components within a 3D object. It is useful for fiber orientation and crack analysis. It has functions for orientation analysis and directional analysis.
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basic information
Function List - Orientation Analysis Analyzes the directional components contained in voxel data using Fourier transform. Divides the data into intervals at regular intervals and calculates the average direction and orientation strength for each interval. Saves the analysis results as 3D polygon data or CSV files. - Direction Analysis Analyzes the direction of voxel data using principal component analysis and calculates the direction and its strength. Connects voxels with similar directions for area recognition. Saves the analysis results as 3D polygon data or CSV files.
Price information
It is set lower than competing products.
Price range
P4
Applications/Examples of results
Analysis of biological specimens, rocks, and fossils Analysis of industrial components We are widely used by companies, universities, and research institutions.
Company information
We are a company that provides software development and services for the creation of 3D data through reconstruction using X-ray CT devices, observation, measurement, processing, and analysis of CT data, creation of digital content and websites for museums using 3D data, and output of 3D data using 3D printers. We specialize in the academic research field and have published many papers and presented at conferences. We also hold patents. As a group of scientists, we are capable of implementing mathematical algorithms based on the latest research papers. Software development is conducted in C++ and C#, and we also handle ultra-fast computations using GPUs (graphics cards) and machine learning (deep learning).
![[Analysis Case] High-Resolution X-ray CT Observation of Lithium-Ion Batteries](https://image.mono.ipros.com/public/product/image/9e5/2000787887/IPROS10318173991818688083.jpg?w=280&h=280)
