💡 Learn how to implement and analyze spatial multiomics data using open-source platforms.
✔ Hands-on training in QuPath & Python
✔ Workflow development for spatial transcriptomics, IHC, and multiplexed imaging
✔ AI-assisted image analysis techniques
🔹 Ideal for: Academic labs, pharma, & CROs
💡 Developing AI-driven solutions for digital pathology, spatial biology, and image analysis.
✔ Building custom deep learning models for image segmentation & classification
✔ Automating high-throughput spatial data processing
✔ AI-guided quantification and feature extraction
🔹 Ideal for: Biotech, pharma, & AI researchers
💡 Optimize histopathology workflows and integrate digital pathology into your lab.
✔ Brightfield & multiplexed workflow design
✔ Data management & analysis for H&E, IHC, and multiplexed IHC
✔ Open-source software solutions for digital pathology
🔹 Ideal for: Pathologists, CROs, & research labs
💡 Consulting on best practices for multiomics data processing, visualization, and interpretation.
✔ Data analysis pipelines for spatial transcriptomics, proteomics, & metabolomics
✔ Visualization & interpretation of Visium, STOmics, CODEX, and IMC data
✔ Custom analysis scripts (Python, R, & open-source tools)
🔹 Ideal for: Academic labs & biotech
💡 Implement scalable, efficient workflows for spatial multiomics and bioinformatics.
✔ Custom-built computational pipelines
✔ Automating spatial data integration & feature extraction
✔ Cloud-compatible solutions for scalable analysis
🔹 Ideal for: Biotech, pharma, & AI researchers
💡 Helping researchers communicate their findings effectively.
✔ Manuscript writing & editing for journals & grants
✔ Figure & data visualization
✔ Grant proposal support for NIH, CIHR, and private funding
🔹 Ideal for: Academic researchers & biotech
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