ZEISS ZEN Intellesis for Machine Learning
Easily Train and Segment Your Image Files
Advanced Image Processing across Multiple Microscopy Methods
ZEISS ZEN Intellesis makes integrated, easy to use, powerful segmentation for 2D and 3D datasets available to routine microscopy users.
Highlights
Powerful Segmentation
Segmentation is one of the biggest challenges faced by today’s microscopists. Images are easy; information is the requirement. It often requires an image processing specialist to create a workflow for segmentation using a combination of digital filters and tools. This is a perfect job for machine learning.
ZEN Intellesis is data-agnostic. Use in conjunction with other software platforms from ZEISS, including ZEISS Atlas 5 for correlative microscopy, as well as any other 3D analytical tools, such as ORS Dragonfly or GeoDict.
Easy to use
ZEN Intellesis is easy to learn, easy to use. Simply load your image, define your classes, label objects, train your model and check it, segment. When you’re satisfied, you can use your trained model to segment and analyze full datasets.
ZEN Intellesis can be used with image formats readable by the ZEISS ZEN software platform including CZI, TXM, TIFF, JPG, PNG.
Integrated
ZEISS ZEN Intellesis is a powerful machine learning tool to process and analyze images from different microscope modalities:
- Light
- X-ray
- Electron
- Ion
Application Example
XRM Sandstone
5-Minutes to Easy Image Segmentation
Download
ZEISS ZEN Intellesis for Life Science
Image Segmentation for 2D and 3D Datasets
ページs: 2
ファイルサイズ: 1149 kB
ZEISS ZEN Intellesis for Materials Science
Your Imaging Software for Machine Learning
ページs: 2
ファイルサイズ: 2262 kB
Advanced Segmentation for Industrial Materials
Learn about machine learning – a solution to the segmentation problem with ZEISS ZEN Intellesis for initial data generation or analysis and processing of a segmented image.
ページs: 11
ファイルサイズ: 4794 kB
ZEISS ZEN Intellesis
Machine Learning Approaches for Easy and Precise Image Segmentation
ページs: 8
ファイルサイズ: 5151 kB
機械学習を用いた
工業材料の高度なセグメンテーション
ページs: 11
ファイルサイズ: 15408 kB
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