  In contemporary pathology, multiplexed immunofluorescence (mIF) and multiplex
immunohistochemistry (mIHC) present both significant opportunities and
challenges. These methodologies shed light on intricate tumor microenvironment
interactions, emphasizing the need for intuitive visualization tools to analyze
vast biological datasets effectively. As electronic health records (EHR)
proliferate and physicians face increasing information overload, the
integration of advanced technologies becomes imperative. SpatialVisVR emerges
as a versatile VR platform tailored for comparing medical images, with
adaptability for data privacy on embedded hardware. Clinicians can capture
pathology slides in real-time via mobile devices, leveraging SpatialVisVR's
deep learning algorithm to match and display similar mIF images. This interface
supports the manipulation of up to 100 multiplexed protein channels, thereby
assisting in immuno-oncology decision-making. Ultimately, SpatialVisVR aims to
streamline diagnostic processes, advocating for a comprehensive and efficient
approach to immuno-oncology research and treatment.
