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.

I-Corps项目更广泛的影响/商业潜力是实现稳健、快速和无标签的生物样品评估。癌症是一个全球性的公共卫生问题，其诊断目前依赖于对生物材料标本的评估。迫切需要省时和客观的替代方法来解决现有过程的几个缺点，这些缺点耗时，劳动密集，并且受口译员变化的影响。拟议的项目是一种经过验证的方法，使用光对未处理或最小处理的细胞和组织标本。该方法特别适合外科手术室和精神病理学实验室快速准确诊断的需要。这个I-Corps项目是为了推进化学计量荧光显微成像和虚拟染色（CFM-VS）在未染色的细胞和组织标本上的翻译。利用内源性细胞荧光，CFM产生二维图像，揭示亚细胞形态和功能，视觉上区分特定的细胞特性，包括结构、细胞代谢和蛋白质生产。CFM的一个独特优势是内源性荧光生物分子的绝对浓度的定量，使可靠和准确的诊断。CFM和衍生虚拟染色（CFM- vs）已成功应用于肺癌和前列腺癌的鉴别和诊断。未染色组织学切片的虚拟染色图像不仅与传统的苏木精和伊红（H&amp；E）染色图像具有相同的形态，而且还显示了癌症引起的生化改变。CFM-VS的吸引人的特点包括：能够对未处理或最少处理的细胞和组织切片进行接近实时的成像；产生病理学家熟悉的虚拟H&amp；E染色图像；消除组织加工中引入的扭曲；该算法实现了鲁棒性诊断，并可随着数据的积累进行自适应学习。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。