Correlative nonvital standard histopathology and vital multiphoton prehistopathology

相关非生命标准组织病理学和生命多光子组织前病理学

基本信息

  • 批准号:
    10080978
  • 负责人:
  • 金额:
    $ 15.59万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-08-10 至 2022-08-09
  • 项目状态:
    已结题

项目摘要

SUMMARY A common practice in medicine for handling freshly biopsied human tissue is to rapidly put it into a formalin solution. This “fixation” preserves the tissue from decay, allowing transportation to a (remote) pathology laboratory for standard histopathology or other biochemical/genetical analyses. However, formalin instantly “kills” the tissue, so that the biochemical and metabolic functions associated with its vital state are permanently lost. These functions likely contain diagnostic information not available from standard histopathology, e.g. the pristine picture of an active tumor microenvironment before the structural and chemical perturbations known in routine histological sample treatments. Thus, it will be highly beneficial to image “tissue vitality” noninvasively and rapidly (within minutes) before the fixation, by a novel optical imaging technology. Although numerous technologies have been developed for this purpose, their diagnostic capabilities independent from standard histopathology have not been unambiguously demonstrated, due to the lack of a correlative technology to co- register/co-localize the virtual optical sections of vital tissue (optical imaging) and the actual formalin-fixed paraffin-embedded sections of treated/nonvital tissue (standard histopathology). As a result, it is often difficult to justify the additional cost of novel optical imaging technologies in clinical standard-of-care processes. In this project, we aim to develop correlative microscopy between standard histopathology (operated in a linear/single-photon optical regime) and a novel optical imaging technology based on multiphoton processes, i.e. multiphoton pre-histopathology. The latter has been demonstrated in our prior work to visualize multiple unlabeled endogenous biomolecules and segment a rich set of cellular and extracellular components. The proposed correlative microscopy will retrace optical sections of fresh ex vivo tissue that were imaged using the label-free multiphoton pre-histopathology to the corresponding formalin-fixed paraffin-embedded sections with diverse histological stains. For proof-of-concept demonstration (Phase I), we will use discarded fresh rodent tissue specimens to mimic freshly biopsied human tissue specimens, and co-register a wide area (1x1 mm2) of image in the multiphoton pre-histopathology with its counterpart in standard hematoxylin and eosin (H&E) histology. In a future stage (Phase II), we will expand the co-registration area from 1x1 mm2 to 10x10 mm2 to accommodate larger sample sizes, extend the stains from H&E to diverse immunohistological stains, and switch the samples from the meat products to fresh human tissue biopsies in a clinical setting. The successful outcome of this project will equip pathologists with a real-time, label-free, slide-free, digital, and point-of-care or point-of-procedure tool to image “tissue vitality”, without affecting the existing histology workflow but with newly added critical information to complement the gold standard based on nonvital tissue.
总结

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneity.
  • DOI:
    10.1038/s41467-022-31771-w
  • 发表时间:
    2022-07-22
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
  • 通讯作者:
Computational Photon Counting Using Multithreshold Peak Detection for Fast Fluorescence Lifetime Imaging Microscopy.
  • DOI:
    10.1021/acsphotonics.2c00505
  • 发表时间:
    2022-08-17
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Sorrells, Janet E.;Iyer, Rishyashring R.;Yang, Lingxiao;Martin, Elisabeth M.;Wang, Geng;Tu, Haohua;Marjanovic, Marina;Boppart, Stephen A.
  • 通讯作者:
    Boppart, Stephen A.
Large-scale tumor-associated collagen signatures identify high-risk breast cancer patients.
  • DOI:
    10.7150/thno.55921
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    12.4
  • 作者:
    Xi G;Guo W;Kang D;Ma J;Fu F;Qiu L;Zheng L;He J;Fang N;Chen J;Li J;Zhuo S;Liao X;Tu H;Li L;Zhang Q;Wang C;Boppart SA;Chen J
  • 通讯作者:
    Chen J
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