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

🔬 Xia et al. — Science (2019)

"Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization" — Foundational paper demonstrating multiplexed error-robust FISH for spatially resolved transcriptomics at single-cell resolution.

Read Science Paper →

🔬 Moffitt et al. — PNAS (2016)

"RNA imaging. Multiplexed RNA imaging with MERFISH" — Early MERFISH protocol establishing the framework for high-throughput spatial transcriptomics imaging.

Read PNAS Paper →

🔬 10x Genomics — Xenium Platform

Official Xenium documentation and publications. In situ gene expression analysis at subcellular resolution with targeted and whole-transcriptome panels.

Xenium Platform →

🔬 Vizgen — MERFIS Hub

Publications, protocols, and application notes from Vizgen. Includes cancer microenvironment, neuroscience, and developmental biology case studies.

MERFISH Hub →

🔬 UK Biobank — Spatial Transcriptomics

UK Biobank's spatial transcriptomics initiative creating foundation models from diverse tissue types. Open-access data for researchers worldwide.

UK Biobank Portal →

🔬 Oxford Spatial Biology

Oxford University research on clinical integration of spatial transcriptomics. Novel methods for tissue analysis and biomarker discovery.

BDI Oxford →

🔬 Broad Institute — SpaceTx

Open-source spatial transcriptomics data standards and analysis tools from the Broad Institute. Starfish pipeline for image-based transcriptomics.

Starfish Documentation →

🔬 Nature Methods — Spatial Omics Collection

Curated collection of spatial omics methods papers from Nature Methods. Reviews, protocols, and technical comparisons.

Nature Methods Collection →

📊 Specifications

Feature	EVOS S1000
Camera	High-resolution scientific CMOS
Objective Range	4x to 100x oil immersion
Fluorescence Channels	4-channel LED illumination
Stage	Automated XY with multi-point navigation
Imaging Modes	Brightfield, Phase Contrast, Fluorescence
Software	EVOS Capture + Analysis Suite
Data Export	TIFF, PNG, OME-TIFF, CSV metadata

View EVOS S1000 on Thermo Fisher →

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.

🧬 Spatial Biology & Imaging