Histolearn Edu vs Path

Histolearn is a digital learning platform designed for pathology education and practical training. With its intuitive whole slide image viewer, you can freely zoom and navigate from the overall tissue structure to detailed regions of interest. Use lecture materials, slide annotations, quizzes, and a range of learning tools to build a structured understanding of key pathology concepts. Key Features • Whole slide image (WSI) exploration • Smooth zooming, panning, and navigation • Slide annotations and key learning points • Lecture and content update notifications Whole Slide Image Learning Begin with an overview of the tissue and zoom into areas of interest to examine detailed structures. Smooth zooming and navigation make it easy to explore large pathology slides. Access lecture materials and slide-based content provided by educators in one place. Annotations and learning points displayed on the slides help you understand important regions and concepts more clearly. AI-Assisted Learning View explanations and learning points related to selected slide regions. Use them to better understand complex pathology concepts and organize your learning. Experience a more intuitive and structured approach to digital pathology learning with Histolearn.

Path-iQ Mobile helps users view, zoom, annotate, and share whole slide images in a mobile-first digital pathology experience. The app is designed for pathology education, research workflows, academic discussion, training, and non-clinical slide review. Users can open high-resolution whole slide images, explore tissue regions, capture snapshots, add annotations, and collaborate with peers or teams. Key features: • View whole slide images on mobile • Zoom into tissue regions • Capture snapshots • Add annotations • Share cases for academic discussion • Support remote teaching and research collaboration Important: Path-iQ Mobile is intended for research, education, and informational use only. It is not intended to diagnose, treat, cure, prevent, or provide clinical decisions for any disease or medical condition. Users should not rely on the app for patient diagnosis or treatment decisions.