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...
Tag - MIKAIA® App Note
Volker Bruns
High Content Imaging: Analyzing Ex-Vivo Drug Response Assays with MIKAIA
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...
MIKAIA Cellular Neighborhood App Explained
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...
Michaela Benz
Proximity Analysis: Quantifying Cell Subpopulations in Vicinity of Intratumoral Microdevice (IMD)
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...
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
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...
