¶ ariadne.ai SPATIAL
¶ Overview
SPATIAL is ariadne.ai's cloud-based spatial biology platform — designed to take you from raw image data to publication-ready spatial analysis without writing a single line of code. Whether you are working with multiplexed immunofluorescence, spatial transcriptomics, or serial IHC, SPATIAL covers the full analysis workflow: registration, segmentation, per-cell quantification, dimensionality reduction, cell type detection, and spatial neighborhood analysis.
¶ Key Features
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⬡ Image registration State-of-the-art non-rigid registration for 2D and 3D data. Aligns channels across multiple staining cycles, and co-registers different spatial omics modalities onto a common coordinate system — enabling combined protein, RNA and morphometric analysis on the same tissue section. |
⬡ Cell segmentation Pretrained deep learning models for precise segmentation across any tissue type and staining — including complex cell types like neurons, pathological structures such as amyloid-beta plaques, tau, and TDP-43 deposits, and tissue compartments like tumor, stroma, and necrosis. Supports membrane, cytoplasm, and nuclear channels. |
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⬡ Per-cell quantification & cell type detection Maps every marker channel to each segmented cell, creating a per-cell expression table (Mapping). Identify cell populations via manual gating, t-SNE, UMAP, or fully automated cell type detection. |
⬡ Spatial analysis Quantify the spatial organization of your tissue using Recurrent Cellular Neighborhoods, Neighborhood Enrichment scores, and cross-cohort statistical plotting. |
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⬡ Tile stitching Precise 2D and 3D tile stitching with or without overlap. Essential for large field-of-views in spatial proteomics and transcriptomics. Get in touch for details. |
⬡ Tissue segmentation Marker-independent classification of tissue compartments (tumor, stroma, vasculature) based on morphological features. Contact us for a custom offer. |
¶ Compatibility
We tested SPATIAL for compatibility with many protocols and devices:
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Spatial proteomics & multiplexed IF • Quanterix Codex ® / PhenoCycler-Fusion • Bruker Spatial Biology CellScape and CosMx ™ Spatial Molecular Imager • Cell Signaling Technology ® SignalStar ™ • Standard BioTools Imaging Mass Cytometry ™ |
Spatial transcriptomics • 10x Genomics Xenium • 10x Genomics Visium HD • MERSCOPE (Vizgen) • CosMx (NanoString / Bruker) |
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Other spatial omics • Serial immuno-histo chemistry (IHC) • Spatial mass cytometry • Spatial metabolomics |
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¶ Getting started
¶ Technical Specifications
¶ Supported data formats
We support all data formats. If you submit an unknown format we will implement it shortly. Your datasets will be converted into our own internal format to ensure best performance in SPATIAL.
¶ System requirements
ariadne.ai SPATIAL has no specific system requirements and works in any current web browser.
¶ Legal and Compliance
Data privacy and security: You can find our privacy policy at https://ariadne.ai/privacy/
Compliance: ariadne.ai SPATIAL is intended for research use only, not for use in diagnostic procedures.
¶ User Feedback and Community
¶ Customer testimonials
¶ User feedback
We value your feedback and suggestions for further improvement of ariadne.ai SPATIAL. Please submit your feedback here.
¶ Conclusion
ariadne.ai SPATIAL sets new standards in simplifying spatial biology analysis. It covers the full spatial biology analysis workflow and delivers top-tier accuracy in registration, segmentation, and spatial statistics. SPATIAL is available as Software as a Service or as a full-service offering, and can be customized to fit your specific needs. Our team is available to support you throughout the entire analysis process.
Learn more about ariadne.ai on the official website or get in touch with us.