CODEX, now called PhenoCycler, by Akoya Biosciences, along with other sequential immunofluorescence technologies (e.g., Lunaphore (Comet), Miltenyi Biotech (MACSima), Leica Microsystems (Cell DIVE), or other vendors)...
MIKAIA® University is the central MIKAIA® learning portal. Here you can find various App Notes and Video Tutorials that describe typical MIKAIA® workflows either from a technical or medical perspective. As we are...
We have contributed two article’s to this year’s Trillium Pathology issue. Here are the abstracts, with links to the full articles: V. Bruns, Programming-free Image-Analysis Workflows for IHC, IF and Spatial...
This app note describes the MIKAIA Plugin API. It can be used by bioinformaticians to plug in their own AI script, e.g., written in Python or any other language, into MIKAIA® and this way put their AI into the hands of...
MIKAIA® is specifically designed for researchers in academia, CROs, biotech, pharma. One of the challenges is that researchers by design do unique things. For this reason, MIKAIA® apps do not represent individual side...
This article is based on a our presentation “IHC Cell Analysis — More than just Cell Counting: A proposed Workflow” at the European Conference for Digital Pathology (ECDP) 2024 in Vilnius, Lithuania...
Spatial Biology is a big hype right now and a rapidly growing discipline, especially spatial proteomics and spatial transcriptomics. It is the intersection of anatomical pathology where the morphology of tissue is...
MIKAIA® supports various I/O formats, find out which ones. Importable whole-slide-image file formats Format / VendorCommentsOME-TIFFBrightfield and fluorescence. Z-stacks and timelines supported (mutually-exclusive). No...