Realize the New Possible: AI in Microscopy

AI in Microscopy

Realize the New Possible.
With Artificial Intelligence.

At ZEISS, we are committed to pushing the boundaries of what is possible and we are proud to be at the forefront of this exciting new field of AI-powered imaging.

Whether you are a researcher, clinician, or engineer, this page will be a valuable resource for unlocking the full potential of AI in microscopy for you.

A New Era in Microscopy

An era in which we merge decades of ZEISS expertise with the power of AI. We cannot wait to see how this new technology will empower you, allow for new breakthroughs and discoveries.

Using machine learning and deep learning, we can now achieve results that were once thought impossible.

At ZEISS, we are committed to pushing the boundaries of what is possible and we are proud to be at the forefront of this exciting new field of AI-powered imaging.

Dr. Michael Albiez | Head of ZEISS Research Microscopy Solutions

Realize with AI - Expert Talks

For this interview series, we partnered with scientists, and innovators to talk about their motivations, breakthroughs, and goals and how they can now be realized with AI.

  • Realize with AI Expert Talk 8 | Prof. Zongjun Yin, Chinese Academy of Sciences

    Prof. Zongjun Yin: Searching for the origins of life on Earth.

  • Realize with AI Expert Talk 7 | Darragh Murnane, University of Hertfordshire & Parmesh Gajjar, University of Manchester

    Prof. Darragh Murnane and Parmesh Gajjar: Breakthroughs in inhaled medication research.

  • Realize with AI Expert Talk 6 | Martin Fischer, ZEISS

    Martin Fischer: Disruptive technologies drive organizational change and benefit customers.

  • Realize with AI Expert Talk 5 | Paul Shearing, University of Oxford

    Prof. Paul Shearing: Towards zero-carbon energy solutions.

  • Dr. Matthew Andrew: Disrupting boundaries of existing technologies.

  • Keith Duncan: Looking into the heart of plants to see what nobody has seen before.

  • Realize with AI Expert Talk 2 | Dr. Sreenivas Bhattiprolu, ZEISS

    Dr. Sreenivas Bhattiprolu: On a journey to the most accessible image analysis.

  • Realize with AI Expert Talk 1 | Danielle Mandikian, Genentech

    Danielle Mandikian: Towards the next generation of therapy.

  • Dr. Zongjun Yin, a Professor of Palaeontology at the Chinese Academy of Sciences in Nanjing, talks about about his search for the origins of life on Earth and how AI-enabled X-ray microscopy aids in accelerating this task.
  • Darragh Murnane, Professor of Pharmaceutics from the University of Hertfordshire and Parmesh Gajjar, a Visiting Researcher from the University of Manchester, speak about their recent experiences with AI-enabled X-ray microscopy and how it drastically enhanced their research in powders and inhaled medication development.
  • Head of Global Sales & Service at ZEISS, Martin Fischer, speaks about his journey towards AI and how it is now being implemented in places such as preventive maintenance, service training or customer service.
  • Director of the ZERO Institute at the University of Oxford, Prof. Paul Shearing speaks about his experiences with AI enabled X-ray microscopy and how they help him and his team in the mission towards zero-carbon, renewable energy solutions.
  • Dr. Matthew Andrew, Head of Advanced Development & Design for X-ray Microscopy at ZEISS, discusses the emergence of AI technology and its transformative importance for the microscopists. He sheds light on the new and exciting possibilites that not only lay ahead but are well within our reach.
  • Director of the X-ray Imaging Facility at Chris Topp lab at the Donald Danforth Plant Science Center, Keith Duncan tells us about the importance of plant science and his innovative usage of X-ray microscopy in this field. Empowered by the AI techniques, he now manages to extract information from where it wasn’t previously considered possible.
  • Dr. Sreenivas Bhattiprolu, Head of Digital Solutions for Microscopy at ZEISS speaks about his vision of how AI can empower scientists to get best possible insights from their microscope images in a matter of seconds. His ultimate goal is allowing the research community to concentrate on solving problems and not learning how to wrangle data.
  • Genentech Senior Principal Scientist Danielle Mandikian discusses modern problem solving and how AI helps her and her team come up with new solutions faster, possibly shorten the drug-design process and develop more targeted medication quicker.

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