About us

The Microscopy Unit at the Veterinary Centre for Resistance Research (TZR) offers a collection of state-of-the-art light microscopy equipment to support anti-infective research.

We provide comprehensive technical and scientific support as well as user training for all microscopy systems to perform sophisticated imaging experiments and generate high-quality image data from a wide variety of samples ranging from bacteria to cells to tissues.

Available microscopy techniques include:

• widefield fluorescence microscopy
• confocal laser scanning microscopy
• fluorescence lifetime microscopy (FLIM)

As part of collaborative projects, we offer expertise and service in design and standardization of imaging experiments as well as prior specimen preparation. In addition, we establish image processing routines and automated image analysis workflows using classic computer vision as well as machine learning-based methods.

Instruments

Inverted research microscope Leica DMi8

Widefield system suited for imaging of multicolour fixed fluorescently and histologically stained samples.

Confocal laser scanning microscope Leica Stellaris 8 FALCON

The multimodal confocal laser scanning microscope Leica Stellaris 8 FALCON is suitable for standard confocal work as well as for more specialized applications such as experiments with living cells and fluorescence lifetime microscopy (FLIM). Furthermore, the available LIGHTNING module in combination with the HyD detectors offers the possibility to increase the resolution of the confocal images up to 140 nm. In addition, the system has an sCMOS camera for wide-field imaging.

Image Processing Workstation

Mid-level HP Z4G workstation equipped with 6 cores (Intel Xenon W-2133), 64 GB RAM, Nvidia Quatro RTX 5000 running LAS X offline software and LAS X Lightning Process.

Contact

Dr. Andreas Nerlich (E-mail: andreas.nerlich@fu-berlin.de, Tel.: +49 30 838 58508)

Booking

Direct link to book services and equipment via OpenIRIS.

Further information on registration and access to OpenIRIS is available here.