LSM 800 with Airyscan

Instrument name：

LSM 800 with Airyscan

Manufacturer：

ZEISS

Specifications：

Confocal scan

·Scanner: Two galvanometric scanning mirrors with ultrashort line and frame flyback
· Scanning speed: up to 8 images/sec (Airyscan up to 1.6 images/sec) with 512 × 512 pixels at bi-direction scan
· Scanning Field: 12.7 mm × 12.7 mm in the intermediate image plane, with full pupil illumination.
· Pinhole: Master pinhole with preset size and position; can be adjusted as desired for multitracking.
· Beampath: one Main beam splitter (MBS) for 4 laser lines (405, 488, 561 and 640nm). Two patented Variable Secondary Dichroics (VSDs) at 10 degree angle to incident beam for most effective excitation light suppression.

· Sample holder: universal sample holder and multiple well plate holder

· XY stage: Motorized XY scanning stage, for Mark & Find function (xy) as well as Tile Scan (Mosaic Scan)

Objectives

· Objective Plan-Apochromat 10x/0.45 M27

· Objective Plan-Apochromat 20x/0.8 M27

· Objective Plan-Apochromat 40x/0.95 M27

· Objective Plan-Apochromat 63x/1.4 Oil DIC M27

Lasers：

Laser Diode : 405nm (5mW); 488nm (10mW); 561nm (10mW); 640nm 5mW)

Detectors

· LSM 800 Confocal 2PMT-detection module and one Airyscan detector for 63x

· Transmitted light detector: ESID

Applications and Uses：

LSM 800 provides sensitive image acquisition leading to better flexibility in live cell imaging and high-end image quality, well suited for various research areas. The high sensitivity of the detectors allows detection of weak fluorescent signals while employing low levels of laser illumination and rapid frame rates. The system is capable of spectral imaging and unmixing, and remove autofluorescence background from low signals in fixed brain tissue. The acquisition software can acquire and stitch tiled images of samples too large to fit within the field of view. It can easily be programmed to capture images of multiple regions on a slide or multi-well plate.

Contacts：

Jingrui Zuo

Contact number:

0512-65884616

E-mail：

zuo123@suda.edu.cn