SBIR PHASE I - TOPIC 426 - TOOLS AND TECHNOLOGIES FOR VISUALIZING MULTI-SCALE DATA
SBIR PHASE I - TOPIC 426 - TOOLS AND TECHNOLOGIES FOR VISUALIZING MULTI-SCALE DATA
批准号:
10494301
负责人:
MICHEL NEDERLOF
金额:
$40.0万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-16 至 2022-06-15
关键词:
3-DimensionalArchitectureAtlasesAugmented RealityCellsClinical ResearchCognitiveCollaborationsComplexComputer softwareCrowdingDNADataDevelopmentDevicesEnsureFeedbackGenomicsHumanImageImmunofluorescence ImmunologicIngestionLinkMalignant NeoplasmsMass Spectrum AnalysisMethodsMicroscopyMindModalityMolecularOnline SystemsPeriodicityPhaseProteomicsResearch PersonnelResolutionSamplingSiteSmall Business Innovation Research GrantSpecimenSystemTechnologyTestingTissuesVirtual and Augmented realityVisual system structureVisualizationVisualization softwarebaseimage visualizationimaging modalityinnovationmicroscopic imagingmultiplexed imagingmultiscale datananoscaleprototypequantitative imagingspatial integrationvirtual realityweb appweb-enabled
中文摘要
SWIFT项目将创建一个集成的交互式可视化软件系统,用于从纳米级分子和结构特征到单细胞和组织级的复杂癌症样本的高度复合显微图像的可视分析。为了避免2D显示器上的空间拥挤并利用人类大脑的认知连贯性,完全支持网络的增强现实(AR)和虚拟现实(VR)可视化层将在图像平面上显示链接的量化图像特征和其他空间链接数据的3D显示。该项目是从该团队的商用QISCOUSE软件包扩展而来的,该项目将专注于高度多元化的成像,包括循环免疫荧光、成像质谱学和基于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领域的多用户合作,空间分辨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。与OHSU和其他地方的Htan中心合作,该团队将能够访问来自NCI相关癌症标本的所有相关规模的数据,以及世界级的癌症研究人员和计算生物学家,以评估我们的产品。预计该系统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。
英文摘要
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.
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