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.
The MIKAIA® Cellular Neighborhood App can yield statistics about the cellular microenvironment, i.e., identify cell niches or cellular communities. This presents a type of spatial analysis of cell populations detected...
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...
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)...
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...