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
基本信息
- 批准号:2017396
- 负责人:
- 金额:$ 5万
- 依托单位:
- 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:
- 关键词:
项目摘要
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&;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&;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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Min Xu其他文献
Aero-structural optimization of supersonic wing under thermal environment using adjoint-based optimization algorithm
基于伴随优化算法的热环境下超音速机翼气动结构优化
- DOI:
10.1007/s00158-021-02888-1 - 发表时间:
2021 - 期刊:
- 影响因子:3.9
- 作者:
Jingrui Guo;Yi Li;Min Xu;Xiaomin An;Guangning Li - 通讯作者:
Guangning Li
Triple-Cation Perovskite Resistive Switching Memory with Enhanced Endurance and Retention
具有增强耐用性和保留能力的三阳离子钙钛矿电阻开关存储器
- DOI:
10.1021/acsaelm.0c00674 - 发表时间:
2020 - 期刊:
- 影响因子:4.7
- 作者:
Yang Huang;Lingzhi Tang;Chen Wang;Hongbo Fan;Zhenxuan Zhao;Huaqiang Wu;Min Xu;Rensheng Shen;Yiming Yang;Jiming Bian - 通讯作者:
Jiming Bian
A four immune-related long noncoding RNAs signature as predictors for cervical cancer.
四种免疫相关的长非编码 RNA 特征可作为宫颈癌的预测因子。
- DOI:
10.1007/s13577-021-00654-5 - 发表时间:
2022 - 期刊:
- 影响因子:4.3
- 作者:
Min Xu;Runjie Zhang;Jin Qiu - 通讯作者:
Jin Qiu
Expression of STING Is Increased in Monocyte-Derived Macrophages and Contributes to Liver Inflammation in Hepatic Ischemia-Reperfusion Injury.
单核细胞来源的巨噬细胞中 STING 的表达增加,并导致肝缺血再灌注损伤中的肝脏炎症。
- DOI:
10.1016/j.ajpath.2022.09.002 - 发表时间:
2022-09 - 期刊:
- 影响因子:6
- 作者:
Junzhe Jiao;Yiya Jiang;Yihan Qian;Guanjie Liu;Min Xu;Fang Wang;Xuehua Sun;Yueqiu Gao;Li Su;Yanjun Shi;Xiaoni Kong - 通讯作者:
Xiaoni Kong
Session-aware RBAC administration, delegation, and enforcement with XACML
使用 XACML 进行会话感知 RBAC 管理、委派和执行
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Min Xu - 通讯作者:
Min Xu
Min Xu的其他文献
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{{ truncateString('Min Xu', 18)}}的其他基金
CAREER: Cryo-electron tomography derived multiscale integrative modeling of subcellular organization
职业:冷冻电子断层扫描衍生的亚细胞组织多尺度综合模型
- 批准号:
2238093 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Data-driven selection of a convex loss function via shape-constrained estimation
通过形状约束估计来数据驱动选择凸损失函数
- 批准号:
2311299 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: III: Medium: Systematic De Novo Identification of Macromolecular Complexes in Cryo-Electron Tomography Images
合作研究:III:介质:冷冻电子断层扫描图像中大分子复合物的系统从头识别
- 批准号:
2211597 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Inferring the Past on Markovian Models of Networks
根据马尔可夫网络模型推断过去
- 批准号:
2113671 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
IIBR Informatics: Reducing the training data annotation cost for learning-based macromolecule identification in cellular electron cryo-tomography
IIBR 信息学:降低细胞电子冷冻断层扫描中基于学习的大分子识别的训练数据注释成本
- 批准号:
1949629 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
III: Small: Improving automation and speed of macromolecule recognition and localization in cryo-electron tomography using unsupervised deep learning
III:小:使用无监督深度学习提高冷冻电子断层扫描中大分子识别和定位的自动化程度和速度
- 批准号:
2007595 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
RUI: Cell Growth Laws and Quantitative Microscopy for Cancer Aggressiveness Imaging
RUI:细胞生长规律和癌症侵袭性成像的定量显微镜
- 批准号:
1920617 - 财政年份:2018
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
RUI: Cell Growth Laws and Quantitative Microscopy for Cancer Aggressiveness Imaging
RUI:细胞生长规律和癌症侵袭性成像的定量显微镜
- 批准号:
1607664 - 财政年份:2017
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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