MIKAIA is the ideal software for preclinical and clinical research – precisely tailored to the requirements and specific questions of life science researchers at every level.
With 1,150 participants from over 60 countries, the first edition of the ESMO AI & Digital Oncology meeting was an inspiring kick-off for knowledge sharing and building connection building at the intersection of...
The “Divide by ROIs” feature in MIKAIA’s analysis apps enables users to compile statistics and enhance their understanding of variations in cell populations. This functionality allows for comparisons between user...
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.
In this MIKAIA® University app note, we will walk you through the necessary steps to unlock the features that are locked in MIKAIA® lite. Whether you’re evaluating MIKAIA® studio or have purchased a license...
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...
In this year’s Trillium Pathology, Volker Bruns (Fraunhofer IIS), Sonja Fritzsche (Max Delbrück Center for Molecular Medicine), and Fabian Coscia (Max Delbrück Center for Molecular Medicine) have contributed an article...
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...
How can the advanced AI analysis capabilities of MIKAIA® assist researchers and clinicians in analyzing their digital pathology and spatial biology data? This talk provides an overview of MIKAIA’s advanced...