Advanced Reconstruction Toolbox

ZEISS DeepScout uses high-resolution 3D microscopy datasets as training data for lower resolution, larger field of view datasets, upscaling the larger volume data using a neural network model. ZEISS DeepScout, developed through continued algorithmic innovation enabled by the AI infrastructure from ZEISS, employs the unique Scout-and-Zoom capability to acquire richer information at higher resolution, including interior tomographies for large samples. ​

• Take your large overview scan​
• Feed it through the ZEISS DeepScout reconstruction algorithm​
• Get resolution that approaches the resolution of a Zoom scan, but over a much larger field of view. ​
  

At its core, ZEISS DeepScout relies on the ability to generate multiscale, spatially registered datasets and uses that ability to train neural networks to improve the reconstruction. New capabilities, fueled by deep learning, mitigate the traditional trade-off between field of view and resolution. ​

The first commercially available deep learning reconstruction technology enables you to increase throughput by up to 10× without sacrificing novel resolution at a distance (RaaD). Alternatively, keep the same number of projections and enhance the image quality further. ZEISS DeepRecon provides significant AI-driven speed or image quality improvement.​

​ZEISS DeepRecon Pro is applicable to both unique samples as well as semi-repetitive and repetitive workflows. Self-train new machine learning network models on-site with an extremely easy-to-use interface. The one-click workflow of ZEISS DeepRecon Pro eliminates the need for a machine learning expert and can be seamlessly operated by even a novice user.​

​ZEISS DeepRecon Pro is now available on ZEISS Ultra nanoscale XRM.

MARS is a reconstruction algorithm that is aware of the constituents within a reconstruction. A challenge in X-ray reconstruction in a lab setting is that imaging with a polychromatic source creates different X-ray energies to generate a phenomenon called beam hardening. This effect is particularly challenging when your material is very dense and embedded in relatively less dense material. MARS tells the reconstruction system how to compensate for the effect of extreme beam hardening in the regions between very dense objects. This is important in applications like biomaterials, where you might be looking at implants next to bone or tissue. Or electronics where extremely dense solder balls appear next to other less dense materials on a printed circuit board, generating strong artifacts. MARS reconstructs your images to compensate for these effects. ​

MARS is available in the Artifact Reduction package.

A fast and efficient algorithm-based technology that delivers iterative reconstruction from your desktop, allowing you to achieve up to 4× faster scan times or enhanced image quality with equivalent throughput. ZEISS OptiRecon is an economical solution offering superior interior tomography or throughput on a broad class of samples.​

OptiRecon is available in the Recon package.

Your data, powering your experiences, is controlled by you. You, the user, have full control over sharing your data, results, and training models with your peers and collaborators. Your data is secured during processing and while in transit. The ZEISS core privacy principle is that you own your data. All data uploaded belong to you and your organization, only, and the confidentiality of your data is our top priority. You can feel confident about where your data is sent and how it is processed.