Used WATERS Acquity Sample Manager #9288657 for sale
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WATERS Acquity Sample manager is a laboratory equipment and accessories designed for automated sample handling. This product offers a comprehensive set of automated sample handling, sample management, and data management tools to streamline sample management across the lab. The Sample Manager is designed to be compatible with interfaces such as FTP, ODBC, Excel, and OLE-DB. This makes it easy to integrate with laboratory software solutions and databases. The software is also available with basic sample management functions for manual tasks. The Sample Manager offers a variety of sample management and tracking tools. It can store and organize samples according to barcodes, analyse raw sample data, track samples by location and store sample information for later retrieval. Sample tracking is automated, with user-defined rules for sample transfers, transmutations, and acquisition cycles. The software also offers sample documentation. The Sample Manager's data management tools allow users to analyse sample data, query metadata, and report samples to identify sample trends, as well as statistically analyse the data to uncover valuable insights. The software also enables users to visualize and graph sample data with various built-in graphs and charts. The Sample Manager also supports a range of automated sample handling functions including automatic sample preparation, sample collection, sample transfer, sample blending, and sample printing. These tools are designed to assist the user in streamlining laboratory workflows and optimizing the use of laboratory resources. The sample handling features also support various laboratory automation standards such as OPC/DDE, ActiveX, OLE-DB, ISOBUS, and Reagents/Instruments standards. With its automated sample handling, tracking, and data management capabilities, Acquity Sample manager is an ideal choice for laboratories looking to streamline their sample handling. It offers a robust and comprehensive range of tools to streamline sample handling and improve data analysis.
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