Spatial analysis
Spatial transcriptomics, next generation molecular profiling (RNA and protein), AI-driven precision pathology
CosMx Spatial Molecular Imager
CosMx Spatial Molecular Imager is the first high-plex in situ analysis platform to provide spatial multiomics with formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) tissue samples at cellular and subcellular resolution. CosMx SMI enables rapid quantification and visualization of up to 6,000 RNA and 64 validated protein analytes. It is the flexible, spatial single-cell imaging platform that will drive deeper insights for cell atlasing, tissue phenotyping, cell-cell interactions, cellular processes, and biomarker discovery.
GeoMx
Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multiomic platform for analysis of FFPE and fresh frozen tissue sections.
GeoMx is the only spatial biology platform that non-destructively profiles expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining.
This equipment allows you to:
- Discover biomarkers predictive of therapeutic response
- Profile the tumour microenvironment
- Uncover drug mechanism of action
- Reveal molecular subtypes for diseases
- Understand disease mechanisms and progression
- Study pre-clinical models
Lunaphore COMET platform
Kick-start your spatial biology adoption with Lunaphore COMET platform - an intuitive and automated platform, and a comprehensive, one-stop-shop, product suite.
A tool to answer your research needs from early discovery to late-stage translational and clinical research. Discover new biological pathways and identify biomarker “signatures” with clinical relevance to support your development of new diagnostic tools and therapies.
Identify the location and assess abundance of a high number of proteins on a single tissue section, while obtaining large amounts of contextual information. Deep-dive into complex cell interactions in a wide range of applications in immuno-oncology, immunology, neuroscience and infectious diseases.
Visiopharm Hub (Rm 136)
Integrating deep learning to image analysis allows robust and reliable detection of structures, which due to a high natural heterogeneity have been challenging to detect with machine learning only.
Deep learning-based algorithms identify rules from the underlying patterns in the image, using examples instead of code. Deep learning capabilities can be easily combined with classical image analysis to get the best out of both worlds.
Vectra Polaris Automated Quantitative Pathology Imaging System
Vectra Polaris Automated Quantitative Pathology Imaging System is a state of the art multispectral imaging system which easily detects and measures multiple overlapping biomarkers within a single tissue section, using high speed digital whole-slide scanning at 10x- 40x in brightfield or fluorescence.
The enclosed system with built-in touchless automation allows users to safely visualize, analyse, quantify, and phenotype immune cells in situ with maximum reliability. The system also features trainable machine-learning algorithms using inForm® software allowing for automatic identification of specific cell and tissue types.
Enquire about Vectra Polaris Automated Quantitative Pathology Imaging System
The Mantra 2™ Quantitative Pathology Workstation
Mantra 2 Quantitative Pathology Workstation incorporates multispectral imaging technology, image acquisition and analysis with the inForm® software, and can be used with a variety of stains including Akoya's Opal™ reagent kits.
Traditional methods like flow cytometry and next-generation sequencing allow you to phenotype and quantify immune cells in homogenized samples, but you lose critical spatial information and context. Meanwhile, standard pathological analyses can deliver morphology data but do not allow the analysis of complex phenotypes.
With multispectral imaging, you can phenotype and quantify immune cells from images of FFPE tissue sections, maintaining tissue architecture, cellular spatial relationships and morphological context. This capability available on the Mantra 2™ provides spatial information, allowing for a better understanding of the role and types of immune cells within both the tumor and the tumor microenvironment so that new cancer immunotherapy treatments may be identified and researched.