Emilia Escalona; Claudia Vejar; Gonzalo R. Sequeira; Paola Leticia Bazzoni & Aracelly Quiroz

Telepathology, a branch of telemedicine, enables the remote transmission of pathological images for diagnosis and research. It relies on digital pathology, which converts tissue samples into whole-slide images (WSIs) that can be stored, shared, and analyzed globally. This enhances collaboration among pathologists and reduces workflow and observer variability while maintaining image quality without compromising resolution. This narrative review examines the application of digital pathology in analyzing histopathological images in oncology. We outline key and introductory guidelines for integrating digital pathology into histological workflows, summarizing essential steps and software for image acquisition and processing, and addressing ethical considerations and the role of artificial intelligence. We also highlight practical experiences with digital pathology in routine cancer diagnosis and biomarker assessment, supporting a view of its transformative impact on clinical management. In summary, we discuss benefits and considerations to facilitate the transition from traditional to digital pathology.

KEY WORDS: Digital pathology; Artificial intelligence; Oncology diagnosis; Digital imaging of histopathology; Telepathology.

ESCALONA, E.; VEJAR, C.; SEQUEIRA, G. R.; BAZZONI, P. L. & QUIROZ, A. Introduction to digital pathology for histological imaging analysis in oncology: practical experiences. Int. J. Morphol., 44(2):420-430, 2026.