February 10, 2022 | 14:00 – 15:30 CET

AI-driven Reconstruction Technologies for X-ray Microscopy Imaging

Virtual User Workshop

In this user workshop, you will learn how some of the biggest challenges associated with X-ray microscopy are tackled with the help of new reconstruction techniques including the use of Artificial Intelligence (AI).

We will explore two new methodologies for the Versa with real use examples, a technology overview and a live demonstration. The first technology which enables a completely automated training of deep learning networks for reconstruction, ZEISS DeepRecon Pro, allows for images to be reconstructed at greatly reduced artefact and noise levels relative to traditional analytical reconstruction techniques. This can be used to either improve image throughput up to 10X or image quality while keeping throughput constant.

A second new technology allows for the removal of propagation phase contrast artefacts from X-ray microscopy images to allow for quantitative analysis of low contrast samples. ZEISS PhaseEvolve reveals the inherent material contrast of the image, otherwise overprinted by phase effects. And it allows for more accurate quantitative segmentation and analysis.

The application of these techniques on a range of samples from a range of application fields will be discussed and there will be the opportunity for open discussion on how these technologies can be applied to your research.

Learn how: 

The easy-to-use solutions allow for models to be trained on X-ray datasets with a single click

Throughput is improved by up to 10x

Image quality is greatly enhanced

Phase effects are removed, allowing for much easier and more accurate segmentation

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February 10, 2022 | 14:00 – 15:30 CET


Ian Belding

AI for Versa Users: No Need for Deep Expertise in Deep Learning Technologies

Matthew Andrew

User Story

Fátima Linares Ordóñez

PhaseEvolve: Enhanced Image contrast, Improved Segmentation and Easy-to-use workflow

Matthew Andrew

User Story

Parmesh Gajjar

Live Workflow Demonstration

Anke Dutschke



Closing Words

Ian Belding

Watch the Webinar Recording

Speakers Profiles

Dr. Matthew Andrew

Matthew Andrew is a scientist currently working with ZEISS who is passionate about developing the technology and usage of pore-scale imaging within the energy sector. Although this involves utilizing and integrating a wide range of different tools, he has expertise in using X-ray microscopy to directly image pore-scale fluid distributions at pressures and temperatures representative of subsurface oil and gas flow. Dr. Andrew received his Ph.D. from the Department of Earth Science and Engineering at Imperial College, London. He has published extensively on these topics, including his Ph.D. dissertation, "Reservoir-Condition Pore-Scale Imaging of Multiphase Flow."

Dr. Fátima Linares Ordóñez

Fátima Linares Ordóñez is the head of the Atomic Force and Microtomography Facility at Universidad de Granada. She has a degree in Chemistry (2000) and a PhD in Chemistry from the University of Jaén (2007). She completed her Doctoral Thesis in the Department of Inorganic and Organic Chemistry of the University of Jaén thanks to a Research Grant of the Research Support Plan of the University of Jaén. In January 2008, she joined the University of Granada as a postdoctoral researcher in the Department of Inorganic Chemistry where she investigated the biosupramolecular chemistry of cyclic coordination/organometallic associations and the design and adsorptive properties of porous coordination polymers. This research activity has been completed with research stays at the University of Stuttgart, Germany (2005) and the University of Insubria, Italy (2009). Nowadays, her current research interest lies in the field of scanning probe microscopy of DNA-metal systems, physical properties of surfaces and X-Ray Microtomography.

Dr. Parmesh Gajjar

Dr. Parmesh Gajjar holds dual positions as a Principal Scientist at Seda Pharmaceutical Development Services and a Research Associate within the renowned Henry Moseley X-ray Imaging Facility at the University of Manchester. He has a Master of Mathematics (2010) from Sidney Sussex College at the University of Cambridge and a Ph.D. in Applied Mathematics (2016) from the University of Manchester. Parmesh's current research involves pharmacometrics modelling and pharmaceutical formulation characterisation. He is a world leader in applying 3D x-ray microscopy methods to analyse various formulation types, linking the microstructure to properties and pharmaceutical performance, and has been invited to speak at a number of prestigious international conferences.