Track 29: tissue-imaging and digital image

Track Overview:

Tissue imaging and digital image analysis are fundamental to the advancement of digital pathology. This track focuses on innovative imaging technologies and computational tools that enhance tissue visualization, support accurate diagnosis, and accelerate research. From high-resolution whole slide imaging (WSI) to multiplexed imaging and 3D reconstruction, digital imaging is transforming how pathologists view, interpret, and share tissue data.

Key Topics:

Whole slide imaging (WSI) and virtual microscopy

Multiplex immunohistochemistry and immunofluorescence

3D tissue imaging and volumetric reconstruction

AI-based digital image analysis

Image standardization, annotation, and interoperability

Data storage, compression, and remote sharing

Learning Objectives:

Understand the latest advancements in tissue imaging modalities

Explore digital tools that enhance image interpretation and reporting

Learn how AI supports pattern recognition and automated quantification

Examine challenges in image management, storage, and integration

Target Audience:

Pathologists, digital imaging specialists, researchers, AI developers, lab managers, and professionals in digital pathology and biomedical imaging.