Water Quality Testing
GIF of 360 view of the PI Raptor Portable

The Pi Raptor Portable is a robust particle size and shape analyzer, ideal for the Water Quality and Water Testing industry. Encased in a durable, carry-on case, it ensures high-resolution analysis on-site or in the lab. Utilizing advanced Dynamic Image Analysis, it delivers precise, reliable data crucial identifying and quantifying contamination in water. The innovative “Raptor” architecture enhances image quality and functionality, while its sample handling capabilities support both field analysis and on-line applications.

OVERVIEW

Dynamic Image Analysis performs Image-Based Particle Counting and offers significant advantages when measuring and counting particles for water quality.  Here’s why this Real-Time Particle Monitoring system is particularly beneficial:


1. Precise Particle Size and Shape Analysis

  • Detailed Morphological Information: Unlike traditional particle counting and detection methods, Dynamic Imaging captures images of individual particles, providing information on size, shape, surface texture, and aspect ratio. This is crucial for identifying specific contaminants, such as algae, microplastics, or sediment particles.
  • Shape-Based Identification: Some contaminants (like algae or plankton) have distinct shapes that influence their behavior and impact on water quality. DIA helps distinguish between different particle types, which other techniques cannot.

2. Detection of Microplastics and Complex Particles

  • Identification of Irregular Shapes: Dynamic Image Analysis is particularly useful for detecting irregular or non-spherical particles, such as microplastics, which are challenging for other techniques.
  • Differentiation by Transparency and Texture: Advanced Dynamic Image Analysis systems can categorize particles based on their color or transparency, helping identify suspended solids or biological contaminants like bacteria clusters or algae.

3. Real-Time Monitoring and High Throughput

  • Automated Counting and Classification: Dynamic Image Analysis systems can rapidly process and analyze thousands of particles per second, making them ideal for large-scale water monitoring projects.
  • Time Efficiency: This method allows quick, automated analysis compared to manual microscopy, reducing the time and effort required to measure and count particles accurately.

4. Non-Destructive and In-Situ Analysis

  • Preservation of Samples: As Dynamic Image Analysis involves capturing particle images in their natural state, the sample is not destroyed, allowing for further chemical or biological analysis if necessary.
  • In Situ Monitoring: Portable Dynamic Image Analysis systems can be deployed directly in the field, providing real-time feedback on particle concentrations and characteristics.

5. Compliance with Regulatory Standards

  • Monitoring Water Treatment Efficiency: Water treatment plants use particle size analysis to ensure filters are functioning properly. Dynamic Image Analysis helps ensure compliance by identifying residual particles in treated water.
  • Early Detection of Algal Blooms: By monitoring the size and growth of algae cells in water bodies, Dynamic Image Analysis assists in identifying harmful algal blooms (HABs) early, enabling preventive measures.

6. Improved Accuracy and Reduced Human Error

  • Objective Results: Automated systems eliminate the variability and bias associated with manual particle counting techniques, improving the reliability and consistency of results.
  • Data Logging and Analysis: Dynamic Image Analysis systems integrate with data management software, providing detailed logs for trend analysis and historical comparisons.

Conclusion

Dynamic Image Analysis provides greater precision, efficiency, and versatility compared to traditional methods for particle measurement in water quality monitoring. Its ability to capture and classify particles in real time, differentiate complex shapes, and handle high-throughput data makes it an invaluable tool for ensuring water safety and maintaining environmental compliance.

Short Video on Water Quality and Filtration Efficiency

Below is a short video showing how Dynamic Image Analysis can be used to monitor water quality on-line and offer a new solution to determine filtration efficiency.  By using an image-based particle counting platform, identification of particles can be made.  Other techniques cannot do this leaving them to count bubbles as particles.

Short Video on Produced Water

Produced water is a by-product of the Oil and Gas industry that requires the not only particle counting but also particle identification.

How Does It Work?

View this short video to see how easy it is to run a water quality sample on the Particle Insight Raptor.

FEATURES

  • Portability
    Contained in a durable ruggedized case paired with its own battery power supply and cooling system, the PI raptor is designed for use in harsh environments.

  • Wide Measurement ranges available

    • Standard magnification version: 1 to 300 μm
    • Low magnification version: 10 to 800 μm
    • Super low magnification version: 20 to 2000 μm
  • Robust data visualization
    The tools and features available include:

    • correlation plots
    • distribution plots
    • classification tools
    • manufacturing pass/fail capability
    • particle concentration
  • Not just pretty pictures
    Besides having industry best image quality, the Pi Raptor Portable has many tools that help any operator to make easy decisions on their process.  Thumbnail images offer objective evidence.  No experts needed.

  • Real Time results
    The raptor portable can deliver results in minutes so that you may make decisions right then and there

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