CLAIRITY™ AUTO is an advanced, automation-first solution for intelligent particulate matter detection, designed for pharmaceutical, biotech, and industrial labs where speed, accuracy, and traceability are crucial. The software replaces manual workflows with AI-guided, high-throughput imaging, offering far more reliability than traditional methods like light obscuration.
With seamless integration across xyz motorized microscope stages, it supports autofocus, scanning, and stitching, transforming manual microscopy into a consistent, auditable system for microscopic particulate analysis.
From injectables and ophthalmic solutions to aerosols, MDI, lyophilized products, and foreign matter inspection, CLAIRITY AUTO supports fully automated imaging and analysis pipelines. The platform identifies and classifies a broad spectrum of contaminants—fibers, silicone oil droplets, glass fragments, and particulate matter—without manual intervention, improving reproducibility and reducing analytical fatigue.
Compliant with USP 788 and 789, as well as 21 CFR Part 11, the system supports e-signatures, audit trails, and controlled access for secure, validated reporting.
Manual microscopy slows workflows and introduces variability in particle counting. CLAIRITY AUTO replaces subjectivity with standardized image acquisition and automatic classification.
Whether dealing with glass fragments, fibers, rubber particles, or foreign particulate matter, precision is critical. AI algorithms differentiate between these with a level of accuracy unattainable via traditional inspection.
Handling high-resolution, stitched datasets is a resource-intensive process. The software automates everything—from imaging to analysis—ensuring fast and repeatable results, even with large-scale datasets.
Where older tools struggle, CLAIRITY AUTO excels. Enhanced contrast and adaptive focus improve the detection of faint or transparent particles that typically evade detection in particulate matter analysis.
The software corrects for gaps, distortions, and uneven lighting during image stitching, which is crucial for accurate classification and an accurate count of particulate matter.
