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...
Tag - MIKAIA® App Note
Volker Bruns
Programming-free Single Cell Analysis of CODEX TMA with MIKAIA®
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
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...
Quantify Histological Growth Pattern or Spatial Heterogeneity with the Grid Analysis App
Result of Grid Analysis App shows histological growth pattern and spatial heterogeneity
MIKAIA AI Author: Create New AI and Batch-analyze an Entire Dataset
MIKAIA® AI Author used for Digital Pathology batch analysis
Michaela Benz
MIKAIA Plugin API: “Plug in your own AI”
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: Build H&E Analysis using Multiple AIs
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...
MIKAIA: Differential IHC Cell Detection by ROI
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...
WSI and Annotation File Format I/O Support in MIKAIA
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...
MIKAIA: Quantifying Perineural Invasion in Duplex IHC
This MIKAIA® App Note shows how to quantify tumor in proximity to nerve fibers (perineural invasion) in a IHC duplex-stained tissue section, where nerves appear red (antigen: S100) and tumor brown (antigen:...
