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Updated: Oct 3, 2026

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
Published on: August 22, 2025
Lipid Metabolism-Related Rapid Pathological Diagnosis and Staging of Breast Tissue Sections Using Two-Photon
Zitong Yu1, Jiaqi Wang1, Ying Liu2
1State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China.
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.

