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Status:
Reviewer
Member since: 2020
Organization: Medical Reserch Institution
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- Ease of use
- After sales service
- Value for money
Great results from a great machine.
Application Area: Analyzer for complete blood picture
"Cell DYN 1800 one of the best analyzers in this category of equipment for 3-part differential hematology. - It is very suitable for small labs. - High result accuracy and reliable matching to manual microscopic counts. - Low consumption of reagent. - Amazing technical support team after sales."
Review date: 23 Aug 2020 | CELL-DYN 1800
Status:
Reviewer Member since: 2014
Organization: Bois Forte Medical Clinic
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- Ease of use
- After sales service
- Value for money
Application Area:Clinical Laboratory
"This is an easy to use instrument. It has very low upkeep requirements and is precise."
Review date: 15 Jul 2014 | CELL-DYN 1800
Status:
Reviewer Member since: 2013
Organization: Salisbury nhs
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- Ease of use
- After sales service
- Value for money
"It is really easy to use with straightforward QC files and group functions. It does have the tendency to break down but they have a good engineer service. It has easy maintenance and a good display of scatter plots."
Review date: 06 Nov 2013 | CELL-DYN 1800
Status:
Reviewer Member since: 2013
Organization: Oregon Health & Science Univ
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- Ease of use
- After sales service
- Value for money
Application Area:Automated Differential
"This instrument is extremely easy to use. Not difficult to maintain or calibrate. However, I would prefer an instrument where the diluent was not separate from the machine."
Review date: 28 Aug 2013 | CELL-DYN 1800
Status:
Reviewer Member since: 2007
Organization: Ondokuz Mayis University
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- Ease of use
- After sales service
- Value for money
Review date: 15 Oct 2007 | CELL-DYN 1800
The CELL-DYN 1800 is smaller than its predecessors and fits under standard physician office laboratory cabinets. The system utilizes impedance resistance to measure human cells while incorporating the patented von Behrens plate to virtually eliminate coincidence counts from each sample.
