Seeing is Believing 2017

Microscopy Events

ZEISS at Seeing is Believing 2017

October 4 - 7, Heidelberg, Germany

Visit us and discover new insights to processes of life.
Learn how ZEISS light, electron/ion and X-ray microscopes give you the power to work on any sample.

Join us in workshop & discussion sessions and learn from our microscopy experts about the newest advances in ZEISS microscopes.


Learn in workshop session 2 about newest ZEISS technologies & applications

ZEISS Products

LSM 800 with Airyscan
Celldiscoverer 7
  • Your Flexible Automated Microscope
  • Get Quality Data from Your Samples
  • Easily Get Reproducible Results


ZEISS Workshop

Wednesday | October 4th  - 2015 | 12:00 - 13:00
ZEISS Workshop  
Celldiscoverer 7 - The beginning of true automation in microscopy
Volker Döring
ZEISS Microscopy
room number will be announced soon


Celldiscoverer 7 | The beginning of true automation in microscopy
Dr. Volker Döring / Carl Zeiss Microscopy GmbH

Automation is defined as the use of control systems for operating equipment and driving processes. In contrast to motorization, which refers to any item that contains a motor, it implies, that minimal human intervention is needed. As for other systems, automation in microscopy requires that the right system components are present and work together seamlessly.

ZEISS Celldiscoverer 7 exhibits a variety of features that are necessary to create an automated system. Firstly, it delivers the optical performance that is required to be fast, precise and sensitive. Special optics enable highest resolution even at low magnifications and a magnification changer largely abolishes the need to change objectives during a workflow. Besides a perfectly suitable optical engine, ZEISS Celldiscoverer 7 is also packed with electronical and mechanical features and sensors that are the foundation of solid automation capabilities. It identifies the type of sample carrier, measure bottom type and thickness of the carrier, calibrates it and brings the sample into focus. To protect the instrument and the sample, it prevents crashes of the sample carrier into stage or optics and automatically applies and renews immersion. All without the user having to interact with the system or even knowing what steps are currently automatically undertaken to set the stage for the imaging experiment. Of course SW- and HW-interfaces to various options, specialized equipment and modules, are also part of the system, as well as bar-code reading and robotic loading.

These – and many more – features allow a huge variety of automated imaging experiments that save the researcher time and labor and greatly increase research output. Examples are intelligent acquisition of rare events (such as mitotic, apoptotic or other phenotypic events), adaptation of imaging or environmental parameters during a dynamic experiment, or changing the experiment duration in dependence of achieved statistical quality. But there are many more examples and applications which are almost only limited by what the user can imagine.

With current and future advancements of software algorithms and improved machine- and deep- learning capabilities, researchers will even more profit from automated systems like the Celldiscoverer 7, as they are the practical enablers of the new digital possibilities.


European Molecular Biology Laboratory (EMBL)
Advanced Training Center
Meyerhofstraße 1
69117 Heidelberg