Towards next-generation diagnostic pathology:AIempowered label-free multiphoton microscopy  

作　　者：Shu Wang Junlin Pan Xiao Zhang Yueying Li Wenxi Liu Ruolan Lin Xingfu Wang Deyong Kang Zhijun Li Feng Huang Liangyi Chen Jianxin Chen 

机构地区：[1]School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350108,China [2]Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education,Fujian Provincial Key Laboratory of Photonics Technology,Fujian Normal University,Fuzhou 350007,China [3]College of Computer and Data Science,Fuzhou University,Fuzhou 350108,China [4]Department of Radiology,Fujian Medical University Union Hospital,Fuzhou 350001,China [5]Department of Pathology,The First Affiliated Hospital of Fujian Medical University,Fuzhou 350005,China [6]Department of Pathology,Fujian Medical University Union Hospital,Fuzhou 350001,China [7]New Cornerstone Laboratory,State Key Laboratory of Membrane Biology,Beijing Key Laboratory of Cardiometabolic Molecular Medicine,Institute of Molecular Medicine,National Biomedical Imaging Center,School of Future Technology,Peking University,Beijing 100091,China

出　　处：《Light(Science & Applications)》2024年第12期2887-2911,共25页光(科学与应用)(英文版)

基　　金：support by the National Natural Science Foundation of China(62005049 to S.W.,62072110 to W.L.,82171991 to J.C.,T2288102,32227802,and 81925022,to L.C.);the National Science and Technology Major Project Program(2022YFC3400600 to L.C.);the Natural Science Foundation of Fujian Province(2022J01216 and 2023J011125 to J.C.);supported by New Cornerstone Science Foundation.

摘　　要：Diagnostic pathology,historically dependent on visual scrutiny by experts,is essential for disease detection.Advancesin digital pathology and developments in computer vision technology have led to the application of artificialintelligence(AI)in this field.Despite these advancements,the variability in pathologists’subjective interpretations ofdiagnostic criteria can lead to inconsistent outcomes.To meet the need for precision in cancer therapies,there is anincreasing demand for accurate pathological diagnoses.Consequently,traditional diagnostic pathology is evolvingtowards“next-generation diagnostic pathology”,prioritizing on the development of a multi-dimensional,intelligentdiagnostic approach.Using nonlinear optical effects arising from the interaction of light with biological tissues,multiphoton microscopy(MPM)enables high-resolution label-free imaging of multiple intrinsic components acrossvarious human pathological tissues.AI-empowered MPM further improves the accuracy and efficiency of diagnosis,holding promise for providing auxiliary pathology diagnostic methods based on multiphoton diagnostic criteria.Inthis review,we systematically outline the applications of MPM in pathological diagnosis across various human diseases,and summarize common multiphoton diagnostic features.Moreover,we examine the significant role of AI inenhancing multiphoton pathological diagnosis,including aspects such as image preprocessing,refined differentialdiagnosis,and the prognostication of outcomes.We also discuss the challenges and perspectives faced by theintegration of MPM and AI,encompassing equipment,datasets,analytical models,and integration into the existingclinical pathways.Finally,the review explores the synergy between AI and label-free MPM to forge novel diagnosticframeworks,aiming to accelerate the adoption and implementation of intelligent multiphoton pathology systems inclinical settings.

关 键 词：MULTIPHOTON refined diagnosis 

分 类 号：O43[机械工程—光学工程]