User Tools

Site Tools


zeiss_axioscan_7

Location: Room P2-A-24 ( 47219)
Manufacturer: ZEISS Microscopy
Model: Axioscan 7
Nickname: "Axioscan"
Software: ZEN 3.9 (ZEN Slidescan)
Year: 2024
SN: 4661000477
 
Data will be deleted after: 3 months  
 
 
Zeiss Axioscan 7 Usage Statistics

Microscope overview

The Zeiss Axioscan 7 is a high-performance automated slide scanner for brightfield and fluorescence imaging. It can scan up to 100 slides in a single run. It is equipped with a fully motorized condenser, LED illumination and sensitive color and monochromatic cameras for high-speed digitization of high quality images. Using the ZEN software you can assign scan profiles for acquisition runs to be set up quickly whether you have many similar slides or mixed applications to process.

Data files older than 3 months will be automatically deleted on this system, please copy your data to the iMM server using the desktop link.

System components

LEDs

Line Wavelength
UV 385 nm
V 430 nm
B 475 nm
G 555 nm
Y 590 nm
R 630 nm
FR 735 nm

Filtersets

Filterset Reference Dichroic Emission
LED SBP 112 SBP 405 nm 410-440 nm
493 nm 500-530 nm
575 nm 580-605 nm
654 nm 660-705 nm
761 nm 769-807 nm

Objectives

Magnification Model Immersion NA WD (mm) Reference
5x Fluar Air 0.25 12.5 420130-9900-000
10x Plan-Apochromat Air 0.45 2.1 420640-9900-000
20x Plan-Apochromat Air 0.8 0.55 420650-9903-000
40x Plan-Apochromat Air 0.95 0.25 420660-9970-000

Cameras

Model Type Frame Size Pixel Size (µm)
Axiocam 705 color CMOS 2464 x 2056 3.45 x 3.45
Axiocam 712 mono CMOS 4096 x 3008 3.45 x 3.45

System Turn On Procedures

  • Turn on the Axioscan 7
  • Turn on the computer
  • Login in to Windows with your Agendo credentials
  • Start the ZEN software

System Turn Off procedures

If there is another user for this microscope is the next hour:

  • Exit the ZEN software
  • Log off Windows

Else

  • Exit the ZEN software
  • Turn off the computer
  • Turn off the Axioscan 7

Back to the Equipment page

zeiss_axioscan_7.txt · Last modified: 2024/07/24 02:12 by bioimaging