Used SYSMEX XT2000i #120049 for sale

SYSMEX XT 2000i is the latest innovation in the field of lab equipment and accessories. It is a highly sophisticated and automated blood cell counter designed to provide fast, accurate and reliable results. The XT 2000i combines advanced technology, modern design principles and a user-friendly user interface to provide a comprehensive blood cell counting system. The XT 2000i utilizes advanced vision technology, known as Ploidy Image Processing, to simultaneously analyze and count multiple individual blood cells with high accuracy. The XT 2000i can measure the size and frequency of several types of cells in a sample such as erythrocytes, leukocytes, thrombocytes, monocytes and others. This is made possible through the use of two separate coolers for storing the samples and a fluorescence-based optics coupled with a motorized scanning mechanism. This allows the XT 2000i to quickly and accurately analyze large samples without operator intervention. The XT 2000i also features a fast and reliable integral cell analyzer and control unit that allows for extreme connectivity and data exchange with other related systems. Through its graphic and menu-driven design, the XT 2000i is able to quickly sort, analyze, and display data. This data can then be conveniently stored securely, allowing it to be retrieved easily and exported to third-party data analysis software. The XT 2000i is designed to be extremely reliable, with a wide range of necessary safety features and controls. The designs of its external parts are made of traceable materials, which ensures consistency and robustness. The XT 2000i also incorporates various monitoring and error-handling systems, allowing it to detect any malfunctions and alert the operator. Overall, SYSMEX XT 2000i blood cell counter is a powerful, advanced, and intuitive instrument designed to provide highly precise and precise results with quick turnaround times. This multi-faceted system is an invaluable tool for any laboratory that needs to quickly process and analyze large volumes of data from a wide range of sample types.