SBIR PHASE I - TOPIC 426 - TOOLS AND TECHNOLOGIES FOR VISUALIZING MULTI-SCALE DATA

SBIR 第一阶段 - 主题 426 - 多尺度数据可视化工具和技术

• 批准号: 10494301
• 负责人: MICHEL NEDERLOF
• 金额: $ 40万
• 依托单位: QUANTITATIVE IMAGING SYSTEMS, LLC
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-16 至 2022-06-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10494301
• 关键词: 3-Dimensional; Architecture; Atlases; Augmented Reality; Cells; Clinical Research; Cognitive; Collaborations; Complex; Computer software; Crowding; DNA; Data; Development; Devices; Ensure; Feedback; Genomics; Human; Image; Immunofluorescence Immunologic; Ingestion; Link; Malignant Neoplasms; Mass Spectrum Analysis; Methods; Microscopy; Mind; Modality; Molecular; Online Systems; Periodicity; Phase; Proteomics; Research Personnel; Resolution; Sampling; Site; Small Business Innovation Research Grant; Specimen; System; Technology; Testing; Tissues; Virtual and Augmented reality; Visual system structure; Visualization; Visualization software; base; image visualization; imaging modality; innovation; microscopic imaging; multiplexed imaging; multiscale data; nanoscale; prototype; quantitative imaging; spatial integration; virtual reality; web app; web-enabled

The Swift project will create an integrated interactive visualization software system for visual analysis of highly multiplex microscopy images of complex cancer samples from nanoscale molecular and architectural features up to single cell and tissue scales. To avoid spatial crowding on 2D displays and taking advantage of the human mind's cognitive coherence, a fully web-enabled Augmented Reality (AR) and Virtual Reality (VR) visualization layer will show 3D displays of linked quantitative image features and other spatially-linked data over the image plane. Extending from the team's commercial QiTissue software package this project will focus on highly multiplex imaging including cyclic immunofluorescence, imaging mass spectrometry, and DNA-PAINT-based multispectral super resolution microscopy, all requiring innovative multi-channel rendering software devices. Next phase development will include multiuser collaboration in AR/VR space, integration of spatially-resolved genomics and proteomics, and gaming-inspired expert guidance and interaction. Collaborating with the HTAN center at OHSU and elsewhere, the team will have access to data at all relevant scales from NCI-relevant cancer specimens and world class cancer researchers and computational biologists to evaluate our products. The system is expected to broadly meet visualization needs in cancer atlases and clinical research workflows. A strong commercial partner has been identified to ensure wide distribution.

Swift 项目将创建一个集成的交互式可视化软件系统，用于对复杂癌症样本的高度多重显微镜图像进行视觉分析，从纳米级分子和结构特征到单细胞和组织尺度。为了避免 2D 显示上的空间拥挤并利用人类思维的认知一致性，完全支持网络的增强现实 (AR) 和虚拟现实 (VR) 可视化层将显示链接的定量图像特征和其他空间链接数据的 3D 显示在图像平面上。该项目从该团队的商业 QiTissue 软件包扩展而来，将重点关注高度多重成像，包括循环免疫荧光、成像质谱和基于 DNA-PAINT 的多光谱超分辨率显微镜，所有这些都需要创新的多通道渲染软件设备。下一阶段的开发将包括 AR/VR 空间中的多用户协作、空间解析基因组学和蛋白质组学的集成，以及受游戏启发的专家指导和互动。通过与 OHSU 和其他地方的 HTAN 中心合作，该团队将能够访问来自 NCI 相关癌症样本的所有相关规模的数据以及世界一流的癌症研究人员和计算生物学家来评估我们的产品。该系统预计将广泛满足癌症图谱和临床研究工作流程中的可视化需求。已经确定了一个强大的商业合作伙伴以确保广泛的分销。