Our technical team is expanding with Marcelo Leomil Zoccoler joining as our newest member. ๐
His expertise in ๐๐-๐๐๐ฌ๐๐ ๐๐ข๐จ-๐ข๐ฆ๐๐ ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐๐ง๐ ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ will be pivotal in integrating ๐ง๐๐ฑ๐ญ-๐ ๐๐ง๐๐ซ๐๐ญ๐ข๐จ๐ง ๐๐๐๐ญ๐ฎ๐ซ๐๐ฌ ๐ข๐ง๐ญ๐จ ๐ญ๐ก๐ ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ ๐ฉ๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ and ensuring a reliable SaaS experience for our users. He will coordinate key custom projects that deliver direct value to clients while helping expand Katana Edgeโs feature set.
Marcelo has a proven track record of successfully resolving complex image analysis challenges in close collaboration with R&D teams. He has a strong ability to translate cutting-edge research and user needs from academia, biopharma, and CROs into effective analytical solutions.
In biopharma R&D and at CROs, spatial omics has become a core pillar for ๐๐ข๐จ๐ฆ๐๐ซ๐ค๐๐ซ ๐๐ข๐ฌ๐๐จ๐ฏ๐๐ซ๐ฒ, ๐ญ๐ซ๐๐ง๐ฌ๐ฅ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ซ๐๐ฌ๐๐๐ซ๐๐ก, ๐๐ง๐ ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐ญ๐ข๐ฌ๐ฌ๐ฎ๐ ๐ฉ๐ซ๐จ๐๐ข๐ฅ๐ข๐ง๐ ๐๐จ๐ซ ๐๐ฅ๐ข๐ง๐ข๐๐๐ฅ ๐ฌ๐ญ๐ฎ๐๐ข๐๐ฌ. R&D teams routinely generate large numbers of high-dimensional multiplex tissue images across large cohorts, aiming to extract robust spatial biomarkers and further data that can guide drug development and patient stratification.
The challenge is no longer data generation, itโs turning complex spatial image data into ๐ฌ๐ญ๐๐ง๐๐๐ซ๐๐ข๐ณ๐๐, ๐ซ๐๐ฉ๐ซ๐จ๐๐ฎ๐๐ข๐๐ฅ๐, ๐๐ง๐ ๐๐๐๐ข๐ฌ๐ข๐จ๐ง-๐ซ๐๐๐๐ฒ ๐ข๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ ๐๐ญ ๐ฌ๐๐๐ฅ๐.
With our ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐จ๐ฆ๐ข๐๐ฌ ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ and our AI-based and cloud-native ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ ๐ฉ๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ, R&D teams in biopharma and at CROs can move from multiplex tissue images to standardized, decision-ready insight generations and spatial biomarker outputs ๐๐๐ฌ๐ญ, ๐ซ๐๐ฉ๐ซ๐จ๐๐ฎ๐๐ข๐๐ฅ๐, ๐๐ง๐ ๐ฌ๐๐๐ฅ๐๐๐ฅ๐.
Focus on the biology and study outcomes and let Katana Labs handle the heavy IT and analytics part.
Katana Labs ๐จ๐๐๐๐ซ๐ฌ: ๐ฏ ๐๐๐๐ฎ๐ซ๐๐ญ๐ ๐ฌ๐ข๐ง๐ ๐ฅ๐-๐๐๐ฅ๐ฅ ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง for complex mIF tissues ๐ฏ ๐๐จ๐ก๐จ๐ซ๐ญ-๐ฌ๐๐๐ฅ๐ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐ across WSIs and TMAs ๐ฏ ๐๐ฎ๐๐ง๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐๐๐ญ๐ฎ๐ซ๐ ๐๐ฑ๐ญ๐ซ๐๐๐ญ๐ข๐จ๐ง at single-cell and sub-cellular resolution ๐ฏ ๐๐ฎ๐ข๐ฅ๐ญ-๐ข๐ง ๐๐/๐๐ and customized reports for confident interpretation
If you need robust spatial biomarker outputs for translational or clinical studies, contact us via Scientist.com profile or at services@katana-labs.com.
Spatial omics provides unparalleled insights into tissue organization, cellular interactions, and molecular disease mechanisms by preserving the native tissue architecture of biopsy samples from solid tumors. ๐๐ฆ๐๐ ๐ข๐ง๐ tissue sections on the ๐ฌ๐๐๐ฅ๐ ๐จ๐ ๐ฆ๐ข๐ฅ๐ฅ๐ข๐ฆ๐๐ญ๐๐ซ๐ฌ ๐ฐ๐ก๐ข๐ฅ๐ ๐ฆ๐๐ข๐ง๐ญ๐๐ข๐ง๐ข๐ง๐ ๐ฌ๐ข๐ง๐ ๐ฅ๐-๐๐๐ฅ๐ฅ ๐ซ๐๐ฌ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง makes the complex interactions between cancer cells, healthy cells, and the tumor microenvironment visible and ๐๐ข๐จ๐ฅ๐จ๐ ๐ข๐๐๐ฅ๐ฅ๐ฒ ๐๐๐๐๐ฌ๐ฌ๐ข๐๐ฅ๐.
With rapid advances in spatial proteomics and spatial transcriptomics, tissue images are becoming larger and more complex than ever before. Today, whole-slide images often contain ๐ฆ๐ข๐ฅ๐ฅ๐ข๐จ๐ง๐ฌ ๐จ๐ ๐๐๐ฅ๐ฅ๐ฌ ๐ฉ๐๐ซ ๐ญ๐ข๐ฌ๐ฌ๐ฎ๐ ๐ฌ๐๐๐ญ๐ข๐จ๐ง, pushing existing analysis tools to their limits.
With our latest ๐๐ข๐ต๐ข๐ฏ๐ข ๐๐ฅ๐จ๐ฆ ๐ฎ๐ฉ๐๐๐ญ๐, you now can ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ >๐ ๐ฆ๐ข๐ฅ๐ฅ๐ข๐จ๐ง ๐๐๐ฅ๐ฅ๐ฌ ๐ข๐ง ๐ ๐ฌ๐ข๐ง๐ ๐ฅ๐ ๐ญ๐ข๐ฌ๐ฌ๐ฎ๐ ๐ฌ๐๐๐ญ๐ข๐จ๐ง, ๐ช๐ฎ๐๐ง๐ญ๐ข๐๐ฒ >๐๐ ๐ฆ๐ข๐ฅ๐ฅ๐ข๐จ๐ง ๐ฉ๐๐ซ๐๐ฆ๐๐ญ๐๐ซ๐ฌ (markers, shape, and spatial features), and view the results in an interactive map ๐ฏ๐ข๐ ๐จ๐ฎ๐ซ ๐๐ซ๐จ๐ฐ๐ฌ๐๐ซ-๐๐๐ฌ๐๐ ๐ข๐ง๐ญ๐๐ซ๐๐๐๐ ๐๐จ๐ซ ๐ฏ๐ข๐ฌ๐ฎ๐๐ฅ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐๐ญ๐ข๐จ๐ง.
There is no requirement for on-premise compute infrastructure or complex IT setups. We deliver scalable, high-performance spatial biology analysis as a readily available SaaS product. ๐๐ข๐ต๐ข๐ฏ๐ข ๐๐ฅ๐จ๐ฆ handles spatial omics files in the ๐๐/๐๐ ๐ซ๐๐ง๐ ๐ ๐๐๐ฌ๐ข๐ฅ๐ฒ, providing the data infrastructure to accelerate spatial tissue profiling, biomarker discovery and patient stratification.
๐ฌ If you are interested to easily ๐๐ง๐๐ฅ๐ฒ๐ณ๐ ๐ฒ๐จ๐ฎ๐ซ ๐ฐ๐ก๐จ๐ฅ๐-๐ฌ๐ฅ๐ข๐๐ ๐ข๐ฆ๐๐ ๐๐ฌ ๐๐๐ซ๐จ๐ฌ๐ฌ ๐ฌ๐๐๐ฅ๐๐ฌ and streamline your spatial omics R&D projects, reach out to us. Weโre happy to demo the ๐๐ข๐ต๐ข๐ฏ๐ข ๐๐ฅ๐จ๐ฆ platform and offer a trial phase using your own sample data.
As we enter the new year, Katana Labs moves into its ๐ง๐๐ฑ๐ญ ๐๐จ๐ฆ๐ฆ๐๐ซ๐๐ข๐๐ฅ ๐๐ก๐๐ฉ๐ญ๐๐ซ.
After two years of focused product development, successful market entry, team growth, and serving our first customers, we are ready to scale โ transitioning from pilot engagements to full commercial growth.
๐ To lead this next phase, we are pleased to announce that Dr. Norman Gerstner will assume the role of ๐๐๐ ๐๐ฌ ๐จ๐ ๐๐๐ง๐ฎ๐๐ซ๐ฒ ๐๐๐๐. Norman joined Katana Labs in 2025 to spearhead our marketing and sales efforts during the market entry phase. With nearly two decades of experience across DeepTech, life sciences, and precision oncology, he brings a ๐ฌ๐ญ๐ซ๐จ๐ง๐ ๐ญ๐ซ๐๐๐ค ๐ซ๐๐๐จ๐ซ๐ in commercial execution and strategic leadership.
The whole Katana Labs team is deeply grateful to Falk Zakrzewski, Nicolaus Widera and Walter de Back for building the strong technological and cultural foundation we stand on today.
Our founders and investors are confident that Katana Labs will unlock its full potential under Normanโs leadership as we scale our platform, expand our customer footprint and establish the company as an ๐ข๐ง๐ญ๐๐ซ๐ง๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฅ๐๐ฒ๐๐ซ ๐ข๐ง ๐ญ๐ก๐ ๐๐๐๐ก๐๐ข๐จ ๐ฌ๐๐๐ญ๐จ๐ซ.
๐๐ฉ๐๐ญ๐ข๐๐ฅ ๐ญ๐ข๐ฌ๐ฌ๐ฎ๐ ๐ฉ๐ซ๐จ๐๐ข๐ฅ๐ข๐ง๐ is rapidly reshaping the precision medicine value chain โ from translational research and clinical development to improving clinical trial outcomes.
At Katana Labs, we build the data infrastructure and AI/ML tools that make deeply embedded, actionable insights in biological tissue samples accessible across biological scales and at enterprise level. Alongside our B2B enterprise SaaS platform ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐, we provide expert services in image analysis and data analytics for spatial biology and spatial multi-omics.
โจ Founders, investors, and the entire team are excited to enter this ๐ง๐๐ฑ๐ญ ๐ ๐ซ๐จ๐ฐ๐ญ๐ก ๐ฉ๐ก๐๐ฌ๐ ๐จ๐ ๐๐๐ญ๐๐ง๐ ๐๐๐๐ฌ.
Katana Labs now offers itsย ๐๐-๐ฉ๐จ๐ฐ๐๐ซ๐๐ ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ via Scientist.com. For R&D teams in CROs, clinical research, and biopharma it is now easy to access our ๐ข๐ฆ๐๐ ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐๐ง๐ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ via this trusted procurement platform.
Katana Labs provides advanced image analysis and data analytics services for ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐๐ข๐จ๐ฅ๐จ๐ ๐ฒ, ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐จ๐ฆ๐ข๐๐ฌ ๐๐ง๐ ๐ญ๐ข๐ฌ๐ฌ๐ฎ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ, including histopathology and computational pathology.
With ๐๐+ ๐ฒ๐๐๐ซ๐ฌ ๐จ๐ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐จ๐ง๐๐ฅ ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐ in computer vision, machine learning/deep learning, data science, bioinformatics, computational biology, and developing purpose-built algorithms for automated image analysis, we are well positioned to support your tissue omics workflows.
By combining cutting-edge AI with deep domain knowledge in life sciences, translational research and precision oncology, we empower ๐ซ๐๐ฌ๐๐๐ซ๐๐ก๐๐ซ๐ฌ ๐๐ง๐ ๐๐ฅ๐ข๐ง๐ข๐๐๐ฅ ๐ฌ๐๐ข๐๐ง๐ญ๐ข๐ฌ๐ญ๐ฌ to extract, quantify, and interpret the biological information and multidimensional data deeply embedded in tissue samples.
๐ฌ ๐๐ฎ๐ซ ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐ข๐ง๐๐ฅ๐ฎ๐๐: โ๏ธAccurate cell segmentation on mIF whole slide images (no limitation in channels, markers, cells) โ๏ธ Batch image analysis at scale โ๏ธ Biomarker quantification and feature extraction โ๏ธ QA/QC and workflow validation โ๏ธ End-to-end spatial omics data analytics โ๏ธ Access to the data in various formats for further processing and analysis
๐งช ๐๐ฏ๐๐ข๐ฅ๐๐๐ฅ๐ ๐ฌ๐๐ซ๐ฏ๐ข๐๐ ๐๐๐ญ๐๐ ๐จ๐ซ๐ข๐๐ฌ ๐ข๐ง๐๐ฅ๐ฎ๐๐: Automated Image Analysis โข Digital Pathology โข Bioinformatics โข Discovery Biomarker Analytics โข Histopathology โข Immunohistochemistry โข FISH โข Multi-Omics Studies โข Single-Cell Services โข Tissue Microarrays โข Marker Analyses and more.
From study design to final data delivery, we provide ๐๐จ๐ฆ๐ฉ๐ซ๐๐ก๐๐ง๐ฌ๐ข๐ฏ๐, ๐ก๐ข๐ ๐ก-๐ช๐ฎ๐๐ฅ๐ข๐ญ๐ฒ ๐ฌ๐๐ข๐๐ง๐ญ๐ข๐๐ข๐ ๐ฌ๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ ๐๐๐ซ๐จ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐ง๐ญ๐ข๐ซ๐ ๐ข๐ฆ๐๐ ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐๐ง๐ ๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐.
๐ If youโre looking for a trusted and experienced partner to outsource your spatial biology and spatial omics image analysis projects, we are happy to support you via Scientist.com.
โจ Katana Labs is a German software engineering and AI startup, founded in 2023. We are redefining how scientists decode tissue biology in the era of spatial multiomics. By combining cloud-native infrastructure with powerful AI, our flagship product, ๐๐๐ฉ๐๐ฃ๐ ๐๐๐๐, turns terabytes of complex imaging and molecular data into intuitive, actionable insights – all within the browser.
This enabling technology supports R&D teams in translational research and biopharma R&D to uncover spatial biomarkers, understand tumor-immune interactions, and accelerate validation of precision therapies.
โ๏ธ Readily-available product โ๏ธ Paying customers โ๏ธ Solving a real-world problem that amounts to a multibillion dollar unmet need
๐กAnd most importantly, are we at risk that our solution is another unsubstantiated “AI Hype”, that goes up in smoke as soon as the market reality hits? Not in my opinion. We address a well-defined problem in one specific vertical with deep domain knowledge.
Now we have to invest in marketing & sales to reach the thousands of potential customers and fast-track our commercialization.
Join Norman Gerstner & 100+ LPs/GPs at the Family Office/Fund of Fundsย VC Virtual Conf on Dec 11 (Zoom), hosted by @Max Pog. Register: pitchcalls.com/vc
We are excited to welcome Luise Rupp as the newest member of the Katana Labs team! Her expertise in immunology and spatial biology will play a key role in providing excellent customer support to our clients in translational research and biopharma R&D.
Spatial multiomics is being adopted by several application areas throughout the precision medicine R&D value chain, from target validation to patient stratification.
Luise’s expertise in immuno-oncology is complemented by her proficiency in spatial omics workflows, allowing her to seamlessly integrate practical image analysis capabilities with a customer-centric approach to deriving meaningful and actionable insights from spatial datasets. As a product specialist, her perspective is instrumental in helping our team translate complex user requirements into practical product features. This allows us to enhance the capabilities of ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ while preserving its user-friendliness and high level of automation.
๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ is a no-code solution for extracting multidimensional data from tissue samples, accelerating validation and batch studies without the bottlenecks of traditional image analysis or IT-heavy pipelines.
In todayโs spatial multi-omics landscape, data is generated by various detection technologies, instruments, and panels for spatial proteomics and spatial transcriptomics. Each device comes with its own data formats and requirements. However, researchers and clinical scientists who seek biological insights from spatial biology data shouldnโt have to battle file formats. Instead, generating actionable insights and achieving project goals should be the main focus.
Thatโs why we at Katana Labs built ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ as ๐ต๐ณ๐ถ๐ญ๐บ vendor-agnostic cloud-native spatial biology platform.
And once your data is in Katana Edge, every analysis performed with ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ย ๐ฉ๐ซ๐จ๐๐ฎ๐๐๐ฌ ๐จ๐ฉ๐๐ง, ๐ฌ๐ญ๐๐ง๐๐๐ซ๐๐ข๐ณ๐๐ ๐๐จ๐ซ๐ฆ๐๐ญ๐ฌ: โ๏ธ ๐๐๐ฅ๐ฅ ๐ ๐๐๐ญ๐ฎ๐ซ๐๐ฌ: ๐ Parquet, ๐ CSV, ๐ Excel โ๏ธ ๐๐๐ฅ๐ฅ ๐๐๐ ๐ฆ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง: ๐ Mask (tif), ๐ GeoJSON โ๏ธ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐ ๐จ๐ซ๐ฆ๐๐ญ๐ฌ: ๐ AnnData (h5ad), ๐ SpatialData (zarr), Flow Cytometry (fcs)
โฆ ready for downstream tools like QuPath, Scanpy, Squidpy, FlowJo, Giotto, or Seurat.
๐๐ก๐จ๐ฅ๐-๐ฌ๐ฅ๐ข๐๐ ๐๐๐ฅ๐ฅ ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง, ๐ฌ๐ข๐ง๐ ๐ฅ๐-๐๐๐ฅ๐ฅ ๐๐๐๐ญ๐ฎ๐ซ๐ ๐๐ฑ๐ญ๐ซ๐๐๐ญ๐ข๐จ๐ง, ๐ฌ๐ฉ๐๐ญ๐ข๐๐ฅ ๐ฌ๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐ฌ, ๐๐ง๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐ ๐๐ฅ๐ฎ๐ฌ๐ญ๐๐ซ๐ข๐ง๐ all exported in common formats your team already knows and can integrate anywhere.
This means: โ๏ธ Singularity: benefit from one image analysis platform for your spatial omics data โ๏ธ Flexibility: get results no matter the instrument or downstream analysis tools โ๏ธ Interoperability: collaborate easily across labs, CROs, biotech & pharma teams โ๏ธ Reliability: standardize using a seamless, automated process from image to data
Letโs get in touch if you would like to learn more about how Katana Edge can support your image-to-data workflow.
Join the Katana Labs co-founder and ๐๐ก๐ข๐๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ ๐๐๐๐ข๐๐๐ซ Walter de Back and ๐๐ก๐ข๐๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐๐๐๐ข๐๐๐ซ Norman Gerstner in the Start-Up Zone of NextGen Omics UK 2025.
On 13th and 14th November we demo our ๐๐ฅ๐จ๐ฎ๐-๐ง๐๐ญ๐ข๐ฏ๐, ๐๐-๐ฉ๐จ๐ฐ๐๐ซ๐๐ ๐ฉ๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ designed for life scientists and biologists. Katana Edge provides easy access to advanced data analytics and effortless collaboration in spatial omics.
๐ ๐๐ข๐ฌ๐ข๐ญ ๐ฎ๐ฌ ๐๐ญ ๐จ๐ฎ๐ซ ๐๐จ๐จ๐ญ๐ก in the Start-Up Zone to experience the Katana Edge platform live, explore its user experience and discuss how it can improve your R&D teamโs productivity in unlocking spatial biology for advancing precision medicine.
Spatial multi-omics is transforming how we understand disease biology. By mapping proteins, RNA, and other molecular features directly within the intact tissue context, it provides an unprecedented view of cellular interactions unlocking new paths for ๐๐ข๐จ๐ฆ๐๐ซ๐ค๐๐ซ ๐๐ข๐ฌ๐๐จ๐ฏ๐๐ซ๐ฒ, ๐๐ซ๐ฎ๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ, ๐๐ง๐ ๐ฉ๐๐ญ๐ข๐๐ง๐ญ ๐ฌ๐ญ๐ซ๐๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง in precision medicine.
We invite everybody to attend our short talk on November 13th, introducing the Katana Edge platform and how it helps R&D teams to accelerate spatial biology data analytics while significantly reducing associated project costs and timelines. No installation costs. No IT barriers. Just seamless, scalable science.
๐งฌ Spatial transcriptomics maps gene expression. Spatial proteomics maps proteins. Each modality provides valuable insights into how disease biology unfolds in affected tissues. But biology doesn’t happen in isolated layers. The same tissue section embeds morphology, transcripts, proteins, and functional changes simultaneously. Spatial multi-omics is the new platform technology that makes the various layers of biological organization accessible for coherent analysis.
๐ฏ This increasingly matters in multiple research fields and application areas, from immuno-oncology to biopharma R&D. The tumor microenvironment is defined by local alterations across several levels of biological organization โ from tissue structure to molecular signaling. Spatial multi-omics connects these levels into one coherent image, something previously impossible by single-modality approaches. It identifies molecular structures for targeted therapies in direct relation to local tissue vulnerabilities that can be exploited for personalized treatments. This enables discovery and validation of novel composite biomarkers that better predict treatment response and reveals druggable pathways previously missed when analyzing molecular layers in isolation.
๐ Spatial multi-omics generates three cost- and resource-intensive challenges for people and organizations using this platform technology. Data volumes are enormous โ terabytes per experiment. Single-cell resolution requires precise segmentation across multiple imaging modalities. Complex data analysis must integrate morphology with diverse molecular layers.
โ๏ธ Overcoming these challenges demands robust computational infrastructure for data storage and processing. It necessitates software tools designed specifically for multi-modal spatial analysis. It needs bioinformatics expertise to navigate the analytical complexity. These requirements create significant accessibility barriers and budget strains for many R&D teams.
โจ ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ from Katana Labs makes spatial multi-omics broadly accessible, by overcoming the above mentioned hurdles. Our AI-powered cloud platform provides the computational infrastructure R&D teams need. It handles terabyte-scale datasets automatically. AI-driven segmentation achieves single-cell resolution across modalities. Integrated workflows simplify multi-modal analysis โ no coding required.
๐ ๐๐๐ญ๐๐ง๐ ๐๐๐ ๐ natively supports NanoString CosMx SMI and 10X Genomics Xenium platforms, as well as spatial proteomics platforms from established vendors. We enable R&D teams to analyze spatial multi-omics data in one unified environment โ no extra bioinformatics team required. This empowers life scientists across biopharma, CROs, and academia to finally unlock the full potential of their spatial multi-omics data.
