AI-enhanced Cell Classification for Hematological Testing
Differential blood counts are a cornerstone in hematological diagnostics, used to identify and monitor leukemia, inflammatory responses, and infections. While automated systems based on flow cytometry are limited in their ability to detect subtle morphological abnormalities, manual microscopy is time-consuming and labor-intensive.
To address this gap, we configured a powerful AI-powered workflow in close collaboration with our users. This workflow enables automatic acquisition of Romanowsky-stained slides and preclassification of blood cells.
The software offers a real-time image gallery that conveniently displays either selected cell classes or all detected objects, supporting an efficient and structured workflow. For fast expert review, the dedicated RapidScore keyboard enables quick validation and reclassification of pre-identified cells. During the review process, additional cell classes can be effortlessly included, allowing users to adapt the classification dynamically and with maximum flexibility.