INSIGHTS FROM THE FRONTLINES
OF DIGITAL PATHOLOGY

Guides, analysis, and expert perspectives covering digital pathology, artificial intelligence, diagnostic innovation, and clinical implementation.

Oct 02
Sep 25
Sep 14

7 Counterintuitive AI Implementation Secrets Cancer Care Leaders Uncovered at NCCN’s 2025 Summit

Picture this: You're sitting in a meeting room, explaining to your leadership team why your cancer care program's AI initiative is six months behind schedule and over budget, while competitors are already seeing results. The PowerPoint slides feel heavy in your hands. The questions from board members sting more... read more →
Feb 11

The New Era of Pathology: Introduction to Digital Pathology Workflow with Slide-free Technology

Pathology is undergoing a seismic shift, moving away from the traditional methods that have been standard for over a century. Histopathology, which traditionally relied on thinly sliced tissue sections mounted on glass slides, is evolving with advancements in slide-free optical microscopy. This novel approach... read more →
Oct 02
Apr 19

Choosing the Right Whole Slide Scanner for Your Pathology Lab: Big, Small, or Both?

Digital pathology is revolutionizing pathology evaluation across all fields, from human pathology to veterinary diagnostic pathology and toxicologic pathology. The benefits of going digital include faster turnaround times, increased collaboration, improved accuracy with tissue image analysis decision support tools, and reduced costs. With digital pathology, whole slide images can... read more →
Jun 14
Jun 18
Apr 28
Instance segmentation markups of the microglial cell processes generated in Aiforia

Instance segmentation for digital pathology tissue image analysis – what is it and why do we need it?

This post is brought to you by Aiforia. In tissue image analysis for pathology detecting structures of interest accurately is critically important. With classical, hand-crafted image analysis algorithms it was often a challenging task requiring extensive image analysis expertise. With deep learning-based image segmentation as part of the pathology... read more →
Aug 19
Aug 17
Aug 15
Aug 14
Aug 14
Aug 12
Aug 10

What is the current role of Artificial Intelligence in digital pathology? Part 1 – terminology.

Since several years the pathology conferences host more and more lectures about digitalization and artificial intelligence (AI) applications in pathology. The accuracy of the presented AI models often comes close and sometimes exceeds the inter and intra-pathologist variability. Terms such as machine learning, deep learning, neural networks, and other computer... read more →
Aug 04

10+ best pathology resources for tissue image analysis

Image analysis of pathology samples requires two sets of skills: the image analysis (computational) skills and pathology skills. This is why to provide reliable results the pathologists and engineers need to work together on the development of the IA algorithms. Often they start working together without previous experience in each other’s fields. To optimize... read more →
Aug 03
Aug 02
Aug 01