The high-performance cobasu 701 urine sludge analyzer is a reagent-free system, using only disposable cuvettes for operation.
The high-performance cobasu 701 urine sludge analyzer is a reagent-free system, using only disposable cuvettes for operation. Urine samples are pipetted into a slide cuvette and centrifuged to obtain a sludge monolayer. High resolution images are automatically generated and analyzed, eliminating the dependence of the method on the operator. This ensures a high accuracy of the result.
1. The cobasu 701 user interface - 19-inch touch screen for ease of use and intuitive navigation; - Intuitive user interface avoids operational errors, promotes greater efficiency and faster training for lab technicians; - Convenient QC management by consolidating QC data and results on one platform, all information can be viewed on screen, including the "QC graph" without the need for manual data entry. 2. RFID reader for QCs - Built-in RFID reader in the analyzer; - When an RFID card is scanned into the analyzer, all relevant QC related information is automatically transmitted: - QC level; - Target ranges; - Lot number; - Shelf life; cobasu 701 module. - Fully automated analysis of urine sludge; - Throughput of up to 116 samples/hour; - Allows 15 images to be acquired, stored and processed for each sample; - Reagent-free design, using only disposable cobasucuvette cuvettes as consumables; - cobasucuvette: 400 cuvettes in an RFID cassette; - 11 components: erythrocytes, white blood cells, squamous epithelial cells, non-flat epithelial cells, bacteria, hyaline cylinders, pathological cylinders, crystals, yeast-like cells, mucus and spermatozoa; - The reclassification function allows the result to be corrected using images of the fields of view; - The operator can define cross-checking and validation rules; Discharge unit - Capacity of 75 samples (15 racks/tray, 5 samples/racks); - Automatic start after loading samples;
Click to order
By clicking the "Check Price" button you consent to the processing of your personal data.