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...
Tag - AI
Volker Bruns
More than AI-based Analysis: Discover Spatial Patterns in your Whole Slide Images with MIKAIA
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...
Michaela Benz
Cognitive Load Assessment: Uncertainty as a Pathway to Robustness
In an increasingly complex world, users must process more and more information which makes information processing and decision-making all the more complex. Understanding cognitive load (i.e., the measurement of the...
Nadine Lang-Richter
Analyzing MACSima 47-plex mIF with MIKAIA: AI Cell Segmentation + Cell Typing + Cell-cell Connections + Cellular Neighborhoods
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...
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...
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...
From Idea to Product: Medical Sensing & Analytics
The collection of robust and reliable medical data is essential for informed decision-making throughout the entire healthcare process and for health and wellbeing applications. Our approach to developing medical sensing...
Grit Nickel
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 AI Author: Create New AI and Batch-analyze an Entire Dataset
MIKAIA® AI Author used for Digital Pathology batch analysis
Tomorrow’s Healthcare: Implementing Data-Driven and AI-Based Solutions
Tomorrow’s healthcare is increasingly data-driven. Collecting robust and reliable medical data is essential for making informed decisions at every step of the medical care process. Artificial intelligence (AI) plays a...
