CLAIRITY™ MORPHOWIZ is an AI/ML-powered platform for particle detection, classification, and morphology-based insight generation. Designed for automated microscopy workflows, it applies deep learning and domain-specific algorithms to transform complex images into quantifiable, decision-ready data—fast, reproducible, and scalable.
Purpose-built for regulated and research-intensive environments, it supports high-precision applications in pharmaceuticals, material science, nanotechnology, injectables, and advanced manufacturing. The system identifies particles across diverse imaging inputs, classifies them by shape and size, and highlights statistically significant features, accelerating method validation, comparative studies, and real-time decision-making. With active learning and custom model training, MORPHOWIZ evolves with your sample sets, offering a future-ready solution for intelligent morphology analysis.
Subjective interpretation of morphological features leads to variability in particle grouping. Machine learning–based classification models in MORPHOWIZ apply validated thresholds for size, circularity, aspect ratio, and solidity, ensuring reproducibility and standardization.
Rule-based segmentation struggles with fused or non-uniform particles. MORPHOWIZ uses deep learning algorithms trained on diverse particle types to accurately classify and separate complex or overlapping structures.
