TL;DR: Spatial biology is moving from human pathology into fisheries and aquaculture. Researchers are using spatial transcriptomics, multiplexed protein imaging and single-cell atlases to map where disease, stress and development occur in fish tissues. The EVOS S1000 Spatial Imaging System is a newer multiplexed tissue imager that could help fisheries labs build protein-level maps of gill, skin, gut and liver samples without the complexity of full spatial transcriptomics.
Why fisheries needs spatial imaging
Fish do not tell you where they hurt. A blood sample or bulk tissue homogenate gives an average signal across thousands of cells, but the pathology may be localised to one part of a gill filament, a patch of skin, or a region of gut mucosa. Spatial biology keeps the tissue architecture intact while measuring which cells are doing what, where.
This matters for aquaculture because many economically important diseases are patchy. Amoebic gill disease (AGD), caused by Neoparamoeba perurans, produces lesions at specific sites on Atlantic salmon gills. Sea lice feed on skin and mucus layers. Viral pathogens such as infectious salmon anaemia virus trigger immune responses that vary by tissue region. Understanding those spatial patterns helps vaccine designers, feed formulators and fish health managers target the right cell types.
What researchers are doing now
Several recent studies show the direction fisheries spatial biology is taking:
- Atlantic salmon gill disease: A 2026 bioRxiv preprint used spatial transcriptomics to reveal region-specific host responses in AGD, showing that different parts of the gill mount different immune reactions to the parasite. This is exactly the kind of heterogeneity bulk RNA sequencing would miss.
- Salmon skin atlas: Sveen et al. (2023, G3) published a transcriptomic landscape of Atlantic salmon skin, providing a reference map that future spatial studies can anchor to specific anatomical locations.
- Single-cell aquaculture: Ruiz Daniels and Taylor (2023, Reviews in Aquaculture) reviewed how single-cell genomics is transforming aquaculture research, from immune-cell atlases to reproduction and growth. Single-cell data gain far more power when mapped back onto tissue sections.
- Zebrafish spatial expression: The FishSED database provides stereoscopic gene expression maps of zebrafish, a widely used developmental and disease model. It shows how spatial expression databases are becoming standard reference resources for fish biology.
From transcriptomics to protein imaging
Spatial transcriptomics tells you which genes are active where, but proteins are often the functional endpoint. Protein-level spatial mapping is harder because antibodies must be validated and fluorescent channels must be unmixed cleanly. However, protein imaging can confirm that a transcript is translated, show post-translational modifications, and detect pathogens or stress markers directly.
For fisheries labs, protein spatial imaging could map:
- Immune markers in gill and spleen during infection.
- Stress-response proteins in liver and kidney after handling or transport.
- Cell proliferation and apoptosis markers in regenerating fin or skin wounds.
- Pathogen antigens alongside host tissue architecture.
Where the EVOS S1000 fits
The EVOS S1000 Spatial Imaging System is designed for multiplexed tissue imaging. According to Thermo Fisher Scientific, it can generate high-resolution, publication-quality images of up to nine protein targets from a tissue section in a few hours, without the iterative staining and photobleaching cycles some older multiplex workflows require. Output is standardised OME-TIFF format, which helps downstream analysis and data sharing.
For a UK fisheries lab, the S1000 could be useful because:
- It lowers the barrier to spatial proteomics. Full spatial transcriptomics platforms require specialised slides, library prep and sequencing. A fluorescence-based spatial imager can be more accessible for labs already doing immunofluorescence.
- It preserves morphology. Tissue sections remain on a standard slide, so histopathology and spatial protein data can be compared directly.
- It is relatively fast. Capturing a 9-plex image in hours rather than days fits routine aquaculture health monitoring better than research-only workflows.
- It produces open-format data. OME-TIFF compatibility means images can be imported into Fiji, QuPath, HALO or custom analysis pipelines.
That said, the S1000 is not a spatial transcriptomics platform. If a project needs transcript-level mapping, technologies such as 10x Genomics Visium, MERFISH or smFISH remain the right tools. The S1000 is best seen as a bridge between conventional immunofluorescence and full spatial omics.
Practical UK considerations
Fisheries research in the UK spans universities, government agencies such as Cefas and the Scottish Association for Marine Science, and commercial aquaculture companies. Spatial imaging projects need close collaboration between histology, molecular biology and bioinformatics. Sample collection must preserve tissue rapidly, especially for delicate structures such as gill filaments and larval organs.
Any lab considering spatial imaging should start with a clear biological question: which tissue, which markers, and what spatial resolution is needed? A pilot study on a few sections will reveal whether antibody panels work on fish tissue and whether autofluorescence from scales, skin or gut contents needs to be managed.
Frequently asked questions
What is spatial biology imaging in fisheries?
It maps where genes, proteins or cells are located within intact fish tissues, helping researchers understand patchy disease responses and tissue-specific ageing.
Why is spatial biology useful for aquaculture?
Diseases such as amoebic gill disease and sea lice damage are often localised. Spatial imaging reveals which tissue regions and cell types are affected.
What is the EVOS S1000 Spatial Imaging System?
It is a multiplexed tissue imager that can capture up to nine fluorescent protein markers from a tissue section in a few hours and output OME-TIFF images.
Can the EVOS S1000 do spatial transcriptomics?
No. It is a protein-level spatial imager. For transcript-level mapping, technologies such as 10x Genomics Visium, MERFISH or smFISH are needed.
What fish species are used in spatial biology research?
Atlantic salmon, zebrafish and other aquaculture species are common models. Salmon gill and skin atlases are particularly active research areas.