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SpatialVisVR is a VR platform tailored for advanced visualization and analysis of medical images in immuno-oncology. It allows real-time capture and comparison of mIF and mIHC images via mobile devices. Leveraging deep learning, it matches and displays similar images, supporting up to 100 protein channels.
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
High-dimensional image registration workflow as part of the MIAAIM framework. Hdi-reg is written in Python, and utilizes the Elastix library for computations.
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
Technology-invariant pipeline for spatial omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells