MIKAIA® studio v3.1 includes native support for viewing and analyzing multi-omics datasets created with Singular Genomics’ G4X™ instrument. G4X features 500plex transcriptomics, 18plex proteomics and same-slide...
The collaboration aims to show how researchers can use VisiOmics image data within MIKAIA® workflows for cell segmentation, phenotyping, and spatial analysis. This work supports greater flexibility in downstream...
The MIKAIA® Cell x Gene App can be used to analyze FISH (or similar, e.g., RNAscope), CISH, or spatial transcriptomics scans, including Xenium by 10x Genomics. For Xenium data in particular, this app is the right...
Chromogenic in situ hybridization (CISH) is used to detect specific DNA or RNA sequences in tissue samples. It uses enzyme-based staining rather than fluorescence (FISH), allowing for high-resolution imaging...
With the MIKAIA® 3 release (April 2026), MIKAIA® received a new multi-omics slide alignment module, “MIKAIA® Slide Align“. Based on a 3-phase registration process, the last one being a non-rigid deformation...
Spatial Proteomics was named the Nature Method of the Year 2024. One predominant method is Cyclic Immunofluorescence (CycIF). Here, a tissue sample is stained and scanned during a first cycle. Next, the stain is...
The Universal IHC Cell AI App features a universal subcellular IHC cell AI that is compatible with a wide range of markers, tissues, and cell types. Our 23-minute video tutorial guides MIKAIA® step by step through the...
This gallery highlights MIKAIA's mIF Cell Segmentation in the FL Cell Analysis App, featuring various examples and an overview of the AI's three segmentation modes and various cell typing options.
This gallery illustrates for a range of different tissue types and IHC markers the cell analysis quality of MIKAIA‘s IHC Cell Detection App. The app first unmixes the stain components, then uses an AI to delineate...