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Cloud-based Sample Management Software & LIMS for Biobanks, Clinical, Research & Testing Labs

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Version Release

CloudLIMS version 1.83 is out! CloudLIMS now includes more comprehensive reporting to enable users to generate a well formatted and professional Certificate of Analysis (CoA). This functionality is particularly useful for testing laboratories, enabling them to meet regulatory compliance and service their clients comprehensively.

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CloudLIMS is back from ISBER 2019 Annual Meeting, held in Shanghai, China. We presented a poster titled “Leveraging Cloud-based LIMS for Managing Tissue Samples at RGCIRC Biorepository to facilitate Cancer Research”. The poster showcases how CloudLIMS facilitates the biorepository at Rajiv Gandhi Cancer Institute and Research Center (RGCIRC) to track and manage the lifecycle of over 10,000 biospecimens that play a key role in cancer research.

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Blog Post

One of the major challenges faced by the Food & Beverage industry is to ensure that proper food safety standards are maintained during the manufacturing and supply of food products. How can a LIMS help implement food testing best practices? Read our blog on "How LIMS Supports Food Safety Best Practices". Subscribe to receive regular updates on product releases, events, conferences, posters, articles, white papers, webinars, and much more!

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LIMS Tutorial

Our tutorials provide detailed instructions to prospective and existing users who need a refresher on how to use our products. Check out our recent tutorial “Learn How Your Customers will Place a Service Request” using CloudLIMS."

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Feature Enhancements

  • Now generate reports for tests conducted across multiple samples, enabling testing laboratories to meet diverse reporting requirements.

  • Include doughnut charts for quick data visualization. Several formatting options are now available to generate a more professional and comprehensive test report.

  • Perform advanced context search using Boolean operators (AND, OR) and relational operators (less than, greater than, equal to) in order to refine search results and analyze data.

  • Configure a correlation between a controlling analyte attribute and a dependent analyte attribute, enabling auto-calculation of complex multi-analyte test results.

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