Best Lab Automation Software for Microsoft Excel

Find and compare the best Lab Automation software for Microsoft Excel in 2026

Use the comparison tool below to compare the top Lab Automation software for Microsoft Excel on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    TrueMed LIS Reviews
    TrueMedLIS is a cloud-based platform that combines laboratory information management and customer relationship management to streamline and automate various laboratory functions, ranging from sample collection and analysis to data interpretation and reporting, while catering to a wide array of fields such as infectious diseases, COVID-19, cancer genomics, pharmacogenomics (PGx), toxicology, hematology, and other specialized lab areas. By replacing outdated manual methods like paper-based faxes and isolated systems, it facilitates digital order management, provides user-friendly portals for both physicians and patients, and features dedicated interfaces for sales and lab administrators, all with the goal of boosting operational efficiency and minimizing data entry mistakes. Additionally, it seamlessly integrates with pre-existing systems such as billing services and pharmacy benefits management tools, offers real-time analytics along with customizable reporting options in various formats such as Excel and CSV, and is designed with a strong emphasis on security and round-the-clock customer support. This comprehensive approach not only enhances laboratory productivity but also contributes to more accurate and timely patient care outcomes.
  • 2
    Ganymede Reviews
    Information such as instrument configurations, the most recent service date, the analyst's identity, and the duration of the experiment is currently not recorded. This results in the loss of raw data, making it nearly impossible to alter or rerun analyses without significant effort, and the absence of traceability complicates meta-analyses. The process of simply entering primary analysis outcomes can become a burden that hinders scientists’ efficiency. However, by storing raw data in the cloud and automating the analytical processes, we ensure traceability throughout. Subsequently, this data can be integrated into various platforms such as ELNs, LIMS, Excel, analysis applications, and pipelines. Moreover, we continuously develop a data lake that accumulates all this information. This means that all your raw data, processed results, metadata, and even the internal data from connected applications are securely preserved forever within a unified cloud data lake. Analyses can be executed automatically, and metadata can be appended without manual input. Additionally, results can be seamlessly transmitted to any application or pipeline, and even back to the instruments for enhanced control, thereby streamlining the entire research process. This innovative approach not only increases efficiency but also significantly improves data management.
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