🧬 Spatial Biology & Imaging

Image: Thermo Fisher Scientific

EVOS S1000 Spatial Imaging System

The EVOS S1000 is Thermo Fisher's dedicated spatial biology imaging platform, designed specifically for spatial transcriptomics, tissue imaging, and multi-region of interest (ROI) analysis. It bridges the gap between traditional fluorescence microscopy and advanced spatial omics workflows.

🔬 Key Features for Spatial Biology

• Large Field of View: Capture entire tissue sections in a single acquisition — critical for spatial transcriptomics where context matters
• Automated Multi-ROI Scanning: Program multiple regions across a slide for high-throughput spatial analysis
• LED Illumination: Stable, long-lasting light source with minimal heat — protects RNA integrity during imaging
• High-Resolution Optics: Resolves single-cell details within intact tissue architecture
• Integrated Software: Seamless workflow from image acquisition to spatial data export

🧬 Spatial Transcriptomics Integration

The S1000 integrates with leading spatial transcriptomics platforms:

• 10x Genomics Xenium: Pre-imaging tissue sections for ROI selection and quality assessment
• Vizgen MERFISH: Whole-slide imaging to guide multiplexed FISH experiments
• Custom Workflows: Export tiled images for integration with segmentation and analysis pipelines

📚 Key Publications & Research

📊 Specifications

Spatial Biology: Revolutionizing Drug Discovery

Spatial biology is transforming how researchers understand tissue architecture and cellular interactions. By mapping gene expression within intact tissues, scientists can uncover new therapeutic targets for cancer, inflammatory diseases, and neurological disorders.

Key Technologies

• MERFISH (Multiplexed Error-Robust FISH): Vizgen's technology enables spatially resolved transcriptomics at single-cell resolution
• Xenium: 10x Genomics platform for in situ gene expression analysis
• Deep-STARmap: Imaging thick tissue blocks without sectioning
• Deep-RIBOmap: Spatial translatomics for protein synthesis analysis

Applications in Drug Discovery

• Cancer Research: Mapping tumor microenvironments to identify immune evasion mechanisms
• Neuroscience: Understanding cellular diversity in brain tissue
• Inflammatory Diseases: Characterizing immune cell infiltration patterns
• Biomarker Discovery: Identifying novel therapeutic targets

UK Research Leading the Way

UK institutions are at the forefront of spatial biology research. The UK Biobank spatial transcriptomics project is creating foundation models trained on diverse tissue types. Oxford researchers are developing new methods for clinical practice integration.

📖 Recent Spatial Biology Publications

• Nature (2022): "The emerging landscape of spatial profiling technologies" — Comprehensive review of spatial transcriptomics, proteomics, and metabolomics platforms.
• Cell (2023): "Deciphering tissue complexity at single-cell resolution" — Advances in single-cell and spatial multi-omics integration.
• Science (2021): "Molecular architecture of the mouse nervous system" — MERFISH atlas of the mouse brain with 100+ cell types mapped spatially.
• Nature Medicine (2023): "Spatial transcriptomics for cancer drug discovery" — Clinical applications and biomarker identification using spatial profiling.
• Nature Methods (2023): "Benchmarking spatial and single-cell transcriptomics integration methods" — Technical comparison for researchers selecting platforms.

Future Directions

The field is rapidly evolving with multi-omics approaches combining transcriptomics, proteomics, and metabolomics. Next-generation platforms will enable real-time analysis of living tissues, opening new possibilities for drug screening and personalized medicine.