SampleManager LIMS Software — a complete laboratory solution 

Thermo Scientific SampleManager LIMS Software is a complete informatics solution for lab, data, process, and compliance management, supporting a wide variety of process development, manufacturing quality assurance (QA) and quality control (QC) processes.

Dashboard shown in available in The Data Analytics Solution for SampleManager LIMS Software

With built-in additional Scientific Data Management System (SDMS), Electronic Laboratory Notebook (ELN), and Laboratory Execution System (LES) functionality, SampleManager LIMS helps you to better manage your data, lab operations and procedural workflows.

SampleManager LIMS also lets you connect with other enterprise systems, instruments, equipment, and your customers, delivering increased accuracy, productivity, and compliance across your business.

SampleManager LIMS Software is versatile for a variety of use cases, offering a comprehensive user interface and seamless user experience.

SampleManager LIMS capabilities

The Data Analytics Solution for Thermo Scientific SampleManager LIMS Software

Pre-configured dashboards display key business and laboratory insights, including resource availability, stock information, location status, and lab performance — all in a clear, interactive format.

Cloud or on-premises deployment

Deploy using your own or Thermo Fisher Scientific-managed infrastructure, including data backup, disaster recovery, and information security monitoring, reducing initial hardware and ongoing IT costs.

Unique procedural execution

The Laboratory Execution System (LES) guides you through each method step to support SOP compliance while also capturing the entire process history.

Built-in Electronic Lab Notebook

Add and link a variety of data types and formats including rich text, spreadsheet and PDF page types, and molecular structures.

Workflow capabilities 

Quickly configure, map, and simplify workflows for your unique lab processes. Automate decisions and actions, and easily adapt workflows to new methods and process changes.

Scientific Data Management System (SDMS) 

Designed to meet regulatory requirements, the SDMS ensures the security and accessibility of both raw data and metadata throughout the entire data lifecycle, so there is no dependency on the original instrument software.


Native mobile application

Access LIMS and LES features via a tablet, so you can execute methods and collect and process samples on the move.


Contract lab testing and portal

Get dedicated access to review and approve quotes, log in samples, print labels for shipping, and review invoices and results — all through a secure and configurable contracts portal.

Centralized chromatography and mass spectrometry (MS) data management 

Smooth operations and secure data integrity are enabled through integration with Thermo Scientific Chromeleon Chromatography Data System (CDS) Software.

Manage training records

Schedule training and control system access based on roles and competencies, and verify instrument use and laboratory tests prior to execution.

MES and ERP integration and connectivity

Connect SampleManager LIMS Software to enterprise systems, including Enterprise Resource Planning (ERP) Systems and Manufacturing Execution Systems (MES).

Regulatory compliance

Secure system access and controls support compliance with the latest industry regulations, such as GMP, ISO 17025, and FDA 21 CFR Part 11.

Streamlining AQC workflows

Centralize data management, seamlessly integrate with analytical instruments, and automate quality control processes in alignment with ASTM D6299-23a standard. This feature allows for real-time data collection, analysis, and faster decision-making.

Get better insights from laboratory data

Unleash the full potential of your laboratory with The Data Analytics Solution for SampleManager LIMS Software. Gain valuable business and lab insights through pre-built dashboards. Interactively analyze resources, stocks, location status, and lab performance. The Data Analytics profiling component within the Solution identifies crucial factors for more accurate predictions. By leveraging past test results as inputs for similar samples, you can establish a predictive Machine Learning pipeline.