You want to develop your own digital pathology AI? The following MIKAIA® University application note explains how to create an AI training dataset using the MIKAIA® Tile Export App. The first step is to create a dataset...
Tag - AI
Nathalie Falk
A Growing Gap of Supply and Demand in Pathology
Physicians expect biopsy or tumor resection results from pathology daily to make diagnoses and find appropriate therapies for the patients. A 2016 interview-based study of internal medicine specialists addresses supply...
Hannah Merz
Our Partners: Institute of Pathology ‒ Universitätsklinikum Erlangen
Two of our closest clinical partners, Prof. Dr. Arndt Hartmann, head of the Institute of Phathology, and Adjunct Professor Dr. Carol Geppert, head of cytology and digital pathology at the Universitätsklinikum Erlangen...
Volker Bruns
The future of cell sorting: From FACS to image-based sorting!
Cell sorting is an established and powerful technology in molecular biological research to distinguish and isolate specific cell types from a heterogeneous cell population. Isolation of the specific cell populations...
7 Reasons to Use Digital Image Analysis
Ever wondered if going digital is worth it? Here are 7 reasons to use digital image analysis in your research ...
Publication: Tumor–Stroma Ratio in Colorectal Cancer
Milestone towards a new MIKAIA® “AI Authoring 2.0” App Our new open access journal paper on AI-based Tumor-Stroma Ratio quantification is out! Open Access Article: Firmbach et al, Tumor–Stroma Ratio in...
