Authors
Zitong Yu, Jiaqi Wang, Ying Liu, Weiqing Xu, Bing Han, Shuping Xu
Published in
Chemical & biomedical imaging. Volume 4. Issue 9. Pages 2091-2101. Sep 28, 2026. Epub Apr 03, 2026.
Abstract
Rapid and accurate intraoperative pathologic diagnosis is essential for intraoperative decision-making, improving patient prognosis, and avoiding reoperation. This study developed a unique rapid pathological diagnosis and staging technique for intraoperative tissue sections based on lipidomic relevance, using two-photon fluorescence (TPF) imaging assisted by a lipid-targeted carbonized polymer dot (CPD) probe (∼8 nm) and multiple classification algorithms, including machine learning and deep convolutional networks. This platform enables ultrabright TPF imaging in response to lipid microenvironments and can be completed within 10 min. Its feasibility was validated through rapid diagnostics of intraoperative frozen sections of breast tissues. Due to abnormal levels of lipid metabolism, normal breast tissues and pathologically staged I-III cancerous tissues were well distinguishable, and the sensitivities and specificities for pathologic diagnosis were all above 90%. The combination of CPD and TPF microscopy provides a rapid and accurate method for detecting lipidomes in pathological frozen sections, marking a significant advancement over hematoxylin and eosin (H&E)-staining-based pathological diagnosis in terms of speed, ease of operation, and relevance to chemical components. This study is vital for advancing lipidome-related research and enhancing the understanding of the lipidomic atlas.
PMID:
42820010
Bibliographic data and abstract were imported from PubMed on 02 Oct 2026.
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