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.

翻译：在当代病理学中，多重免疫荧光（mIF）和多重免疫组织化学（mIHC）既带来了重大机遇也提出了严峻挑战。这些方法揭示了复杂的肿瘤微环境相互作用，凸显了对直观可视化工具的需求，以有效分析庞大的生物数据集。随着电子健康记录（EHR）的普及以及医生面临日益严重的信息过载，先进技术的整合变得势在必行。SpatialVisVR 作为一个专为医学图像比较而设计的多功能VR平台，具备在嵌入式硬件上适配数据隐私保护的能力。临床医生可通过移动设备实时采集病理切片，利用SpatialVisVR的深度学习算法匹配并显示相似的mIF图像。该界面支持操控多达100重多重蛋白通道，从而辅助免疫肿瘤学决策。最终，SpatialVisVR旨在简化诊断流程，倡导以全面高效的方式开展免疫肿瘤学研究与治疗。