PRODUCT
The Company's business comprises of three main areas:
| a) |
Medical laboratory instruments, reagents for all disciplines of pathology, disposables, emergency health-care products and laboratory information systems. |
| |
| 1. |
KoneLab - Thermo Konelab 20i
Fully Automatic, Random Access Clinical Chemistry Analyser with ISE
(Na, K, C1, Li)
Total Throughput : 380 Test per (200 chemistry + 180 ISE per hour) |
| 2. |
ImmunoLite – ImmunoLite 2000i
Fully Automatic, Random Access Clinical Immuno Chemistry Analyser
Total Throughput: 280 Test per hour.
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| b) |
Information Technology with customized information systems (databases), instrument for system to system interfaces, network and hardware support and maintenance and training for: |
| |
| 1. |
Clinisys WinPath® LIMS – UK |
| 2. |
Q-Pulse – Document Manager Software |
3. |
StarLIMS® - Industrial and Analytical Laboratory LIMS |
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| c) |
We also offering alternative system for Total Laboratory Automation (Path Finder) with mid-range capabilities. |
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| 1. |
PathFinder CS Capper/Sorter |
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| d) |
Design and consultation for Lab workflow. |
Our Business Partners are:
| Logo |
Brand |
Products |
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GAEL Quality, UK |
Q-Pulse software for Compliance and Improvement Management Transforms the bureaucracy of management systems such as ISO9000:2000 into valuable management information, minimizing excessive paperwork and keeping relevant personnel informed of both changes to and actions from the system |
 |
LiMs, USA |
StarLIMS is a fully functional Laboratory Information Management System with a unique Multiple-tier architecture Fast Implementation, Integration, Track record, Flexible and Future-proof . |
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Clinisys, UK |
UK's leading supplier of pathology and cancer IT solutions - having been chosen in the majority of new system procurements. CliniSys is the leading UK supplier of IT solutions delivering improved quality and productivity within the clinical laboratory. Successfully manage large volumes of clinical and performance data and specialise in the analysis, integration and presentation of this data to support the effective clinical diagnosis and process management. |
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