In this MIKAIA University application note, we guide you through the analysis of a common use case, coexpression of marker combinations in lymphoid follicles and interfollicular tissue in a tonsil 15plex imaged with...
Cancer staging The outcome in patients with cancer is determined by a combination of numerous factors. The personalized treatment of a cancer patient depends on the site of origin of the cancer, the morphologic type...
Dear Travel Diary…. The European Congress on Digital Pathology 2023 (ECDP23) took place in Budapest, Hungary, from June 14th-17th in the beautiful Corinthian Hotel. ~600 delegates shared their latest experiences...
MIKAIA University Application Note: Analyzing multiplexed immuno fluorescent (mIF) slides MIKAIA has good support for viewing, annotating and analyzing multi-plexed (aka high-plex, aka hyper-plex) whole-slide images...
MIKAIA University Application Note: Interactively training an AI with the AI Authoring App — programming-free and from just a few example annotations By design, researchers often have unique questions that they...
MIKAIA University Application Note: Immune cell infiltration in tumor micro environment (TME) Immunohistochemistry (IHC) is a histological method used to detect specific protein markers, which in turn are important in...
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...
Find out more about the Digital Pathology application in the ADA Lovelace Center. Interview with Dr. Michaela Benz on AI-based diagnostical support in the ADA Lovelace Center. Read more interesting articles on AI...
With over 20.000 in-person registrants from 87 countries, the AACR 2023 annual meeting in Orlando, Florida, was THE PLACE TO BE when it comes to cancer research. For the first time, we exhibited MIKAIA. Julia Hetzel...