Instruments & Software
For a detailed descriptions (e.g. lasers, filters, etc.) please refer to the respective booking site for Light Microscopy Fassberg Campus and Light Microscopy City Campus sites.
Microscopes
Instrument | Technology | Campus |
---|---|---|
Zeiss LSM780 |
Confocal Laser Scanning, F(C)CS,
Spectral detector |
Fassberg |
Zeiss LSM880 |
Confocal Laser Scanning, F(C)CS,
Spectral detector, Airydetector, Widefield, Airyscan fast |
Fassberg |
Abberior STEDYCON | Widefield, Confocal Laser Scanning, 2D STED | Fassberg |
Abberior Minflux | Confocal, 3D super-resolution, 3D tracking | Fassberg |
Visitron Spinnig Disk |
Widefield, Spinning disk confocal CSU-W1, TIRF,
3D-SMLM/STORM, Super-resolution, Nikon Ti2 |
Fassberg |
Zeiss Lightsheet LSZ1 | Lighsheet, Optimized for clearing | Fassberg |
LaVision TriM Scope II | Two-photon, SHG, THG, FLIM, cloud scanner, adaptive optics, intravital imaging | City |
Leica TCS SP2 | Confocal laser scanning, AOBS, spectral detection, reflection microscopy | City |
Leica TCS SP5 X | Confocal laser scanning, white light laser, spectral detection (absorption/emission), live imaging, hybrid detectors, FRAP, FRET, stitching | City |
Leica TCS SP8 X LIGHTNING FALCON | Confocal laser scanning, LIGHTNING (~ 120 nm lateral resolution) white light laser, spectral detection (absorption/emission), FLIM, FRET, FRAP, Stage Navigator, stitching, live imaging, widefield | City |
Leica TCS SP8 X Upright LIGHTNING | Confocal laser scanning, upright system, LIGHTNING (~ 120 nm lateral resolution) white light laser, spectral detection (absorption/emission), Lifetime gating, FRET, FRAP, Stage Navigator, stitching, live imaging | City |
Nikon Eclipse Ti | CSU-W1 spinning disk, FRAP, H-TIRF, N-STORM/SMLM, Super-resolution, EMCCD, live imaging, JOBS automation, stitching | City |
Nikon Eclipse Ti2 | Widefield microscopy, camera (color and sCMOS monochrome), calibrated-triggered light source, JOBS automation, NIS.ai, live imaging, stitching | City |
Abberior STEDYCON | Confocal Laser Scanning, inverse system, 2D STED | City |
Zeiss LSM 510 (upright) | Confocal laser scanning, upright system, electrophysiology components | City |
Zeiss LSM 880 Airyscan Fast |
Confocal laser scanning, spectral detector, Airyscan detector
(~ 120 nm lateral resolution) with additional Fast mode, stitching, live imaging, widefield with monochrome and color RGB cameras, Zeiss streaming server |
City |
Other Instruments
Instrument | Technology | Campus |
---|---|---|
BD AriaIII | Flow cytometer, FACS, 2 and 4-way sorter, plate sorter | Fassberg |
Sony SH800 | Flow cytometer, FACS, 2-way cell sorter, plate sorter | Fassberg |
Refeyn Massphotometer | Measures the mass of molecules in solution | Fassberg |
BioTek PlateReader | Plater Reader, Fluorescence, Absorption, Fluorescence Anisotropy | Fassberg |
Focht Chamber System 2 | Live cell imaging of cells or tissue, stimulation, perfusion | City |
Instruments accessible in other departments
When needed, members of the MPI-NAT can get access to specific technologies located within departments. Facility personnel serve as intermediaries and provide assistance with training and experiment setup. Please note that access must be agreed upon with the respective department.
Instrument | Technology | Location |
---|---|---|
Olympus Slide scanner VS200 | Widefield slide scanner for RGB and fluorescence (up to 4 channels) | Tissue Dynamics and Regeneration, Fassberg |
Software
The facility provides access to commercial software for data visualization, image restoration and image analysis. Commercial software available via the facility are Imaris, Arivis, Huygens deconvolution, and Huygens localizer. Furthermore we provide support for open-source software (e.g. Fiji, CellProfiler, Knime, python), and Machine Learning approaches using feature based learning (e.g. ilastik, Weka) or deep-learning (e.g. CARE, STARDist, Cellpose).
For computational resources, the facility has several servers with a fairly good amount of GPUs, CPUs, and RAM to accomodate large data applications, fast computing using GPUs, training of machine learning models, and visualization. The computational resources can be accessed from your computers at home or at work.