Area of Research:
- Semiconductor packages
- Geological samples
- ZEISS Phase Contrast Enhancer
Structure of neural network-based image quality improvement, achieved by training networks to recover image data degraded through noise, limited projection numbers or sample outside of the field of view.
- ZEISS DeepRecon is a Special Customer Solution (SCS), customized to the specific requirements of your use-case and sample class. First, engage with your local ZEISS representative (or fill out the below form) to start the discussion about getting DeepRecon at your facility.
- Send data or a sample to ZEISS XRM team.
- This data is used to create a customized DeepRecon model, enabling superior
- This model is loaded into a customized installation of ZEISS Reconstructor.
- Acquire data under the discussed conditions (up to 10X throughput boost relative to standard reconstruction). The customized model will be a selectable option during sample reconstruction.
Impact of differing reconstruction techniques on a sandstone sample, showing progressive image quality improvement from standard reconstruction (filtered back projection) to OptiRecon 2.0 (iterative reconstruction) and DeepRecon (neural network-based reconstruction)
- ZEISS Xradia Versa XRM
- ZEISS DeepRecon reconstruction technology
Problems we can help you solve:
- automation of your imaging process or workflow
- advanced image analysis and corrections
- automation of your ROI (region of interest) search
- tailoring flexible and adaptable workflows for your configuration
- even, small applications that turn 20 clicks into one
Big problems, little problems. What is your problem? Use the form on this page to tell us more.
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