Dynamic Image Analyzer Litesizer DIA Series

Significance of the Topic

Dynamic image analysis has become an indispensable tool for characterizing particle size and shape with high precision and throughput. Accurate particle metrics influence critical processes in pharmaceuticals, materials science, cosmetics, food processing and battery manufacturing. By capturing individual particle images and deriving geometric descriptors, dynamic image analyzers eliminate reliance on indirect statistical models, enabling direct assessment of morphological features, detection of agglomerates and assessment of outliers within seconds.

Objectives and Study Overview

This overview presents the Anton Paar Litesizer DIA Series, a modular dynamic image analysis platform designed to measure particles from 0.5 µm to 16 000 µm. It aims to streamline sample dispersion, imaging and data processing into an automated, user-friendly workflow. Three instrument configurations (DIA 100, DIA 500, DIA 700) and three interchangeable dispersion units (Liquid Flow, Dry Jet, Free Fall) are evaluated for their measurement range, automation capabilities and suitability across diverse materials.

Methodology

Dynamic image analysis in the Litesizer DIA Series involves four key steps:

• Dispersion: Samples are introduced into the measurement cell via gravity (Free Fall), compressed air (Dry Jet) or liquid flow combined with ultrasonication (Liquid Flow).
• Illumination: A high-power LED uniformly backlights particles within the flow cell.
• Detection: A high-speed camera (up to 5 Mpixel, 220 fps) captures sharp particle shadows.
• Automation: Objectives automatically switch and size ranges merge for continuous measurement across broad distributions.

The system acquires individual particle images, applies advanced filtering and computes multi-parameter descriptors for each particle, including Feret diameters, equivalent circle diameter, aspect ratio, circularity, compactness and geodesic length.

Used Instrumentation

• Litesizer DIA 700: Three magnifications (0.3×, 1×, 6×), 0.5 µm resolution, 220 fps.
• Litesizer DIA 500: Two magnifications (0.3×, 4×), 0.8 µm resolution, 144 fps.
• Litesizer DIA 100: Single magnification (0.3×), 10 µm resolution, 20 fps.
• Dispersion Units: Liquid Flow (stirring, ultrasonication), Dry Jet (venturi nozzles), Free Fall (gravity feed).
• Kalliope Software: One-page workflow for parameter setup, live view, image database, filtering, quality control and regulatory compliance (21 CFR Part 11).

Main Results and Discussion

The Litesizer DIA platforms deliver robust performance across a wide size spectrum. DIA 700 covers 0.5–16 000 µm, DIA 500 covers 0.8–16 000 µm and DIA 100 covers 10–16 000 µm, with automated objective switching and seamless data merging improving throughput. Quick Click dispersion unit exchange (< 10 s) and built-in safety features (sealed channels, dust lids, vapor checks) enhance operational efficiency and protection. Kalliope software’s live measurement display, image database and filtering options facilitate rapid method development and result interpretation.

Advanced shape descriptors enable differentiation of spheres, agglomerates, fibers and geometric particles, providing insights into packing behavior, flowability, texture and functional performance. The instrument’s compliance with ISO 13322-1/2, ISO 9276 series, ASTM E2651-19, USP <1776> and Ph. Eur. 2.9.48 ensures suitability for regulated environments.

Benefits and Practical Applications

• Pharmaceuticals: Optimized particle shape and size for controlled drug release and enhanced bioavailability.
• Battery and Additive Manufacturing: Spherical metal powders yield improved flow, packing density and conductivity.
• Food Processing: Real-time monitoring of coffee grind distribution, fines and broken particles for consistent extraction.
• Polymers and Composites: Tailoring particle aspect ratio improves mechanical strength, flexibility and transparency.

Future Trends and Applications

The integration of dynamic image analysis with in-line monitoring, process analytical technology (PAT) and machine learning promises real-time feedback control in manufacturing. Miniaturized optics, higher frame rates, AI-driven image classification and multi-modal sensors (e.g., combined spectroscopic imaging) will expand capabilities for complex systems and nanoparticle analysis. Cloud-based data platforms and digital twins will facilitate predictive process optimization and quality assurance across industries.

Conclusion

The Litesizer DIA Series offers a versatile, automated solution for high-resolution particle size and shape characterization. Its modular design, broad measurement range and advanced software enable reliable, reproducible data for research, quality control and process optimization. By capturing detailed geometric descriptors at single-particle level, it addresses diverse industrial needs and paves the way for future innovations in particle analytics.

References

• ISO 13322-1: Particle size analysis – Static image analysis methods.
• ISO 13322-2: Particle size analysis – Dynamic image analysis methods.
• ISO 9276-1 to ‑6: Representation of results of particle size analysis.
• ASTM E2651-19: Standard practice for imaging-based particle size and shape analysis.
• USP <1776> and Ph. Eur. 2.9.48: Validation standards for particle size distribution.