Carl Zeiss LSM 880 with AiryscanFAST
The Zeiss LSM 880 with AiryscanFAST is a multi-purpose, visible light super-resolution/confocal laser scanning microscope.
It is equipped with a 34 channel spectral array and features the AiryscanFAST detection system which combines ultra-high resolution down to 120nm with high speed acquisition. This microscope is fully motorized in X, Y and Z.
Available Objectives
Plan-Apochromat 10x/0.45
Plan-Apochromat 20x/0.8
C-Apochromat 40x/1.2 Water
Plan-Apochromat 40x/1.4 Oil
Plan-Apochromat 63x/1.4 Oil
Microscope
AxioObserver Z.1 Inverted
DefiniteFocus Autofocus System
Motorized X,Y, Z Piezo Stage
HXP-120 Metal Hallide Light Source
RGB Filter Sets for Epi-fluorescence Visualization
Available Laser Lines
405, 458, 488, 514, 561, 594, 633nm
Detectors
34 Channel Spectral Array
Airyscan Super-Resolution Detector
Live Cell Imaging
On stage CO² & temperature control
Training Materials
The following are a collection of training documents and videos specifically for our Carl Zeiss LSM 880.
We ask that you start with our ‘Introduction to Confocal Microscopy’ video before viewing subsequent videos that will take you through a full training session for basic confocal microscopy and super-resolution imaging with the Airyscan.
Below is a PDF version of our training guide:
Training: Carl Zeiss LSM 880
A complete user training for the Carl Zeiss LSM 880 confocal microscope. This training takes the user from powering the instrument on through collecting 3 color confocal images with 3D Z-Stacks.
Training: Airyscan & AiryscanFAST
A comprehensive training module for the Airyscan & AiryscanFAST detection technologies of the Carl Zeiss LSM 880 confocal microscope. This training discusses the basic theory of Airyscan and AiryscanFAST imaging and provides a detailed discussion of how to use each mode for your experiments.
Advanced Training: Airyscan Processing
An advanced discussion of strategies for improving the processing of Airyscan imaging data. This supplementary training offers additional recommendations on the secondary processing stages for 2D and 3D data sets.
