High-Speed Cell Culture Monitoring
Challenges in Cell Culture

01

High-Speed Processes

Cell cultures in bioreactors or petri dishes need constant monitoring to ensure optimal growth conditions.

02

Defect Detection

Identifying contamination, cell health issues, and irregular growth patterns.

03

Consistency and Quality

Ensuring consistent cell growth for reliable experimental results.

04

Efficiency Requirements

Reducing manual observation and improving monitoring efficiency.

StroboX Solution

StroboX leverages AI and stroboscopic technology to automate the monitoring of cell cultures in real-time. It can capture multiple stroboscopic events to detect various issues simultaneously.

Key Features and Integration Potential

  • High-Resolution Imaging: Captures detailed images of cell cultures, enabling the identification of even minor anomalies.
  • AI-Powered Analysis: Uses AI to compare images to standard benchmarks, identifying contamination, unhealthy cells, and growth irregularities.
  • Real-Time Monitoring: Provides continuous monitoring and instant alerts for any detected issues.
  • Integration with Laboratory Systems: Integrates with existing laboratory information management systems (LIMS) for streamlined workflows.

Usecases

Contamination Detection

Feature: High-Resolution Imaging
Benefit: Detects bacterial or fungal contamination in real-time, ensuring the purity of cell cultures.

Cell Health Monitoring

Feature: AI-Powered Analysis
Benefit: Monitors cell health and identifies signs of stress or apoptosis, enabling timely intervention.

Potential Benefits

01

Increased Efficiency

Reduces the need for manual monitoring, freeing up laboratory personnel for other tasks.

02

Enhanced Accuracy

Provides precise and consistent monitoring, ensuring high-quality cell cultures.

03

Cost Savings

Minimizes the risk of contaminated or failed cultures, reducing the need for costly rework.

04

Improved Research Quality

Ensures reliable and reproducible experimental results.

Challenges and Considerations

  • Technical Complexity: Ensuring the system can handle various cell types and culture conditions.
  • Quality Assurance: Maintaining high standards in automated defect detection.
  • Integration Challenges: Integrating seamlessly with existing laboratory systems.