I-Corps: Chemometric fluorescence microscopic imaging and virtual staining for rapid label-free histopathology

I-Corps：化学计量荧光显微成像和虚拟染色，用于快速无标记组织病理学

• 批准号: 2017396
• 负责人: Min Xu
• 金额: $ 5万
• 依托单位: CUNY Hunter College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2017396&HistoricalAwards=false
• 关键词: Corps; Chemometric; fluorescence; microscopic; imaging

The broader impact/commercial potential of this I-Corps project is to enable robust, rapid, and label-free biological sample evaluation. Cancer is a worldwide public health problem, and its diagnosis currently depends on evaluation of specimens of biological material. Time-efficient and objective alternative methods are urgently needed to address several shortcomings of the existing process, which is time-consuming, labor-intensive, and subject to interpreter variations. The proposed project is a validated method using light on unprocessed or minimally processed cell and tissue specimens. The proposed method particularly meets the demands of rapid and accurate diagnosis in surgical suites and telepathology laboratories. This I-Corps project is to advance the translation of chemometric fluorescence microscopic imaging and virtual staining (CFM-VS) on unstained cell and tissue specimens. Using endogenous cellular fluorescence, CFM produces 2D images revealing both subcellular morphology and function, visually differentiating specific cell properties including structure, cellular metabolism, and protein production. One unique advantage of CFM is the quantification of the absolute concentration of the endogenous fluorescent biomolecules, enabling reliable and accurate diagnosis. CFM and the derived virtual staining (CFM-VS) have been successfully applied to differentiate and diagnose lung and prostate cancers. The virtually stained images for unstained histological slides not only share the morphology of traditional hematoxylin and eosin (H&E) stained image counterparts, but also indicate the biochemical alterations due to cancer. Attractive features of CFM-VS include: ability to image unprocessed or minimally processed cell and tissue sections in close to real-time; yields virtual H&E stained images familiar to pathologists; eliminates distortions introduced in tissue processing; and robust diagnosis is achieved and may be improved through adaption of the algorithm from learning with the accumulation of data.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是实现稳健，快速和无标签的生物样品评估。癌症是一个全球公共卫生问题，目前的诊断取决于对生物材料标本的评估。迫切需要及时且客观的替代方法来解决现有过程的几个缺点，这些过程是耗时，劳动力密集的，并且构成了解释器的变化。 提出的项目是使用未加工或最小处理的细胞和组织样品的验证方法。该提出的方法尤其满足了手术套房和远程病理实验室中快速准确诊断的需求。 这个I-Corps项目是为了推进未染色的细胞和组织标本上化学计量荧光显微镜成像和虚拟染色（CFM-VS）的翻译。使用内源性细胞荧光，CFM产生的2D图像揭示了亚细胞形态和功能，在视觉上区分特定细胞特性，包括结构，细胞代谢和蛋白质产生。 CFM的一个独特优势是定量内源性荧光生物分子的绝对浓度，从而实现可靠且准确的诊断。 CFM和衍生的虚拟染色（CFM-VS）已成功应用于区分和诊断肺和前列腺癌。未染色的组织学滑梯的染色图像不仅具有传统的苏木精和曙红（H＆E）染色图像的形态，而且还表明由于癌症引起的生化改变。 CFM-VS的有吸引力的特征包括：能够在接近实时成像未加工或最小处理的细胞和组织切片； 产生虚拟的H＆E染色图像，熟悉病理学家；消除组织加工中引入的扭曲；并且可以通过通过数据积累来适应该算法来实现良好的诊断，并可以改善算法。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估标准来通过评估来获得支持的。