Revolutionizing Laboratory Workflows with Precision
& Embedded Intelligence

Precision Control and Optimization

Volume Calibration: Software controls the precise volume of liquids being transferred, allowing for adjustments based on the type of liquid (e.g., viscosity, surface tension).

Speed Control: The software can regulate the speed of pipetting and dispensing, which is crucial for handling delicate reagents or preventing splashing.

Error Minimization: Automated liquid handling systems eliminate variability introduced by manual pipetting, and the software ensures consistency across all operations.

Protocol Design and Customization

Drag-and-Drop Interface: Many liquid handling systems use software with intuitive graphical user interfaces (GUIs), allowing scientists to design complex workflows by dragging and dropping protocol steps.

Customizable Protocols: Users can design, store, and edit liquid handling protocols for specific experiments, ensuring that automation is tailored to the experiment’s needs.

Batch Processing: The software can handle batch processing, where multiple samples are processed simultaneously, increasing throughput and efficiency.

Workflow Automation and Scheduling

Automated Workflow Execution: Once protocols are defined, the software can automate entire workflows, integrating multiple steps like liquid transfer, mixing, and incubation.

Scheduling and Task Management: The software enables scheduling of tasks, allowing laboratories to run liquid handling operations at specific times or overnight without human supervision.

Parallel Processing: Advanced systems can handle multiple tasks simultaneously, optimizing lab resources and minimizing downtime.

Data Management and Integration

Sample Tracking: Software tracks every liquid transfer, ensuring traceability of samples and reagents. This is crucial in high-throughput environments where sample mix-ups must be avoided.

Barcode Scanning Integration: Many systems incorporate barcode readers for sample identification and tracking, ensuring every sample is accounted for in real time.

Data Logging: The software records every step of the liquid handling process, generating detailed reports for later analysis or audit purposes, which is particularly important for regulatory compliance.

Integration with Laboratory Information Management Systems (LIMS)

LIMS Integration: Liquid handling software can interface with LIMS to automatically upload data, update sample status, and retrieve experiment parameters. This integration ensures seamless coordination between lab processes and data management.

Real-Time Data Exchange: Automated systems can exchange data with other lab instruments and software platforms, enabling integrated workflows across different experimental stages.

Advanced Robotics and Automation

Robotic Arm Control: Many liquid handling systems include robotic arms for automated pipetting. The software precisely controls the movement and operation of these arms, ensuring accurate and efficient transfers.

Multi-Axis Movements: Software can control complex movements in multi-axis robotic systems, allowing liquid handling across different wells or plates with precision.

Automated Plate Handling: Software often integrates with robotic plate handlers, managing plate movements between incubators, readers, and liquid handling stations.

Error Detection and Recovery

Real-Time Monitoring: The software monitors the liquid handling process in real time, identifying issues like pipette tip clogging, air bubbles, or missing reagents.

Automated Error Correction: Some systems are capable of automatic error correction, such as re-aspirating or re-dispensing liquids if an error is detected.

Alerts and Notifications: The software can send alerts to lab personnel in case of any disruptions or errors, ensuring timely intervention and minimizing downtime.

Scalability and High-Throughput Capabilities

Multi-Channel Pipetting: Software controls multi-channel pipettes that can handle multiple samples simultaneously, enabling high-throughput screening and reducing processing time.

Scalable Protocols: Designed protocols can be easily scaled for different sample sizes, volumes, and throughputs, adapting from small-scale research to industrial-scale production.

Visualization and Reporting

3D Visualization: Some liquid handling systems provide a 3D visualization of the setup, showing the pipetting path and liquid transfers for validation before running the process.

Reporting and Documentation: Detailed reports of every liquid handling task are generated, including volumes transferred, pipetting speed, and potential errors. These reports can be exported for quality control, audit trails, and regulatory compliance.

Artificial Intelligence and Machine Learning Integration

AI-Driven Optimization: Some advanced liquid handling software solutions incorporate AI and machine learning algorithms to optimize liquid handling workflows, such as predicting the best pipetting parameters based on the characteristics of the reagents.

Predictive Maintenance: Software can monitor the wear and tear of liquid handling systems, predicting when maintenance is required to avoid breakdowns and prolong the system’s life.

Learning from Data: Machine learning algorithms can analyze historical data from liquid handling processes, learning to improve future workflows for greater accuracy and efficiency.