Vende Se ZEISS Quad Core Cirrus 4000 V8 Software OCT
- Condition : Used - Excellent
- Qty. Available : 1
- Date : February 10, 2020
Item Description
Seller assumes all responsibility for this listing.
Listing: #2252450
- Condition: Used - Excellent
- Brand: ZEISS
- Type: OCT
- Model: Quad Core Cirrus 4000 V8 Software
Zeiss Cirrus 4000 OCT HD Quad Core w/ Windows 7
Comes complete with:
•- Cirrus 4000 Unit w/ Quad Core w/ Windows 7
•- Power Table
•- New HP printer
•- Dust Cover
•- User Manual
•- Keyboard/Mouse
•- Power Cord
•- Test Eye
Cirrus HD-OCT Model 4000 is the first choice OCT for the full spectrum of patient care. With built-in Line Scanning Ophthalmoscope (LSO) in addition to the OCT engine, Model 4000 provides maximum diagnostic power and patient throughput.
Cirrus Enhanced HD Raster Scans are second to none. Capture highly dense data cubes for all the detail you need for analyses and B-scans that help identify even the most subtle pathology.
With world-class ZEISS optics and knowledge from over a decade of experience in OCT, Cirrus captures spectacular images second to none. Rather than image averaging, Cirrus uses Selective Pixel Profiling to optimize data at each pixel. Judge the results for yourself.
Comes complete with:
•- Cirrus 4000 Unit w/ Quad Core w/ Windows 7
•- Power Table
•- New HP printer
•- Dust Cover
•- User Manual
•- Keyboard/Mouse
•- Power Cord
•- Test Eye
Cirrus HD-OCT Model 4000 is the first choice OCT for the full spectrum of patient care. With built-in Line Scanning Ophthalmoscope (LSO) in addition to the OCT engine, Model 4000 provides maximum diagnostic power and patient throughput.
Cirrus Enhanced HD Raster Scans are second to none. Capture highly dense data cubes for all the detail you need for analyses and B-scans that help identify even the most subtle pathology.
With world-class ZEISS optics and knowledge from over a decade of experience in OCT, Cirrus captures spectacular images second to none. Rather than image averaging, Cirrus uses Selective Pixel Profiling to optimize data at each pixel. Judge the results for yourself.
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