In modern pathology, multiplexed immunofluorescence (mIF) and multiplex immunohistochemistry (mIHC) bring both vast opportunities and challenges. These techniques illuminate complex tumor microenvironment interactions, necessitating intuitive visualization tools. With the rise of electronic health records (EHR) and information overload for physicians, integrating advanced technologies becomes essential. Enter SpatialVisVR: a versatile VR platform for comparing medical images, adaptable for data privacy on embedded hardware. Clinicians can capture pathology slides in real-time via mobile, then SpatialVisVR employs a deep learning algorithm to match and display similar mIF images. This interface allows for adding or removing up to 100 multiplexed protein channels, aiding immuno-oncology decisions. Ultimately, SpatialVisVR aims to refine diagnostic processes, promoting a holistic, efficient approach to immuno-oncology research and treatment.

翻译：在现代病理学中，多重免疫荧光（mIF）与多重免疫组化（mIHC）技术既带来了巨大机遇也伴随着显著挑战。这些技术揭示了复杂的肿瘤微环境相互作用，亟需直观的可视化工具。随着电子健康档案（EHR）的普及及医师面临的信息过载问题，整合先进技术显得尤为关键。本文提出SpatialVisVR：一个支持医学影像对比的多功能VR平台，其设计兼顾嵌入式硬件上的数据隐私保护。临床医生可通过移动设备实时采集病理切片图像，随后SpatialVisVR利用深度学习算法匹配并显示相似mIF影像。该界面支持添加或移除多达100个多重蛋白通道，辅助免疫肿瘤学决策。最终，SpatialVisVR致力于优化诊断流程，推动免疫肿瘤学研究和治疗走向整体化、高效化路径。