The IHC Cell Detection App features a universal subcellular IHC cell AI that is compatible with a wide range of markers, tissues, and cell types. Our 23-minute video tutorial guides MIKAIA® step by step through the app...
This gallery highlights MIKAIA's mIF Cell Segmentation in the FL Cell Analysis App, featuring various examples and an overview of the AI's three segmentation modes and various cell typing options.
This gallery illustrates for a range of different tissue types and IHC markers the cell analysis quality of MIKAIA‘s IHC Cell Detection App. The app first unmixes the stain components, then uses an AI to delineate...
NEW: This article and the downloadable list was updated on July 15th 2025 2022 – 2024 have been breakthrough years for AI in digital pathology. Many new startups, backed by lots of venture capital, as well as...
A strong suit of MIKAIA® is its wide portfolio of analysis apps for multiplexed immunofluorescence (mIF) / spatial proteomics. It can be used for both low-plex and high-plex panels and is compatbile with image formats...
This MIKAIA® app note demonstrates how to analyze a 47-plex spatial proteomics scan created with MACSima ™ (by Miltenyi Biotec), utilizing sequential immunofluorescence for the analysis: Instrument: MACSima™ by Miltenyi...
Researchers at the Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM) have developed PEDRA: Platform for Ex-Vivo Drug Response Assays. Up to 100 compounds are tested in parallel on primary patient...
The Laboratory for Bio-Micro Devices at Brigham and Women’s Hospital () develops drug releasing implantable intratumoral microdevices (IMD) [1]. Using MIKAIA®, they want to examine in a quantitative fashion how...
Welcome to our MIKAIA FAQs. We know that navigating a flexible digital pathology & spatial biology image analysis software like MIKAIA® can raise a lot of questions, and we’re here to help. Whether...