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To couple diagnosis with treatment, femtosecond laser ablation was incorporated for machine learning–inspired seek-and-treat selective tissue removal, supporting more precise tumor excision while preserving function.",{"@graph":14,"@context":77},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/endomicroscopic-ai-driven-morphochemical-imaging-and-fs-laser-ablation-for-selective-tumor-identification-and-selective-tissue-removal/340597/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/endomicroscopic-ai-driven-morphochemical-imaging-and-fs-laser-ablation-for-selective-tumor-identification-and-selective-tissue-removal/340597.png","ImageObject",300,407,{"name":42,"@type":43},"Clementine","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-22","2026-09-22",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",9,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69,73],{"name":60,"@type":61,"acceptedAnswer":62},"Why is intraoperative head and neck cancer detection challenging?","Question",{"text":63,"@type":64},"Accurate malignancy diagnosis requires multimodal imaging, while intraoperative identification often still relies on magnification tools, endoscopy, and microscopy. Pathology workflows can be time-consuming or less accurate, and outcomes depend on pathologist experience.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What imaging modalities and AI method were used in the preclinical study?",{"text":68,"@type":64},"The study used a rigid endomicroscope combining coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), and second-harmonic generation (SHG). Deep learning–based semantic segmentation models detected head and neck tumors from the multimodal data.",{"name":70,"@type":61,"acceptedAnswer":71},"What diagnostic performance was reported?",{"text":72,"@type":64},"The preclinical results reported a diagnostic sensitivity of 88% and a specificity of 96% for tumor detection.",{"name":74,"@type":61,"acceptedAnswer":75},"How was diagnosis combined with therapy in the proposed approach?",{"text":76,"@type":64},"Femtosecond laser ablation was integrated into the endomicroscope, enabling image-guided selective tissue removal in a “seek and treat” workflow.","https://schema.org",{"og:url":32,"og:type":79,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":81,"canonical":32},"index,follow",{"doc_id":83,"site_id":7},340597,1790477848,{"code":4,"msg":86,"data":87},"success",[88,92,96,100,105,110,114,119,123,126,130],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Exam",70,"exam",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},5,"Comic",60,"comic",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},6,"Technology",50,"technology",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},7,40,"healthcare",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},8,"Research & Report",30,"research-report",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},"Religion & Spirituality",20,"religion-spirituality",{"id":121,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":121,"slug":125},"World Cup","world-cup",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":127,"slug":129},10,"Lifestyle","lifestyle",{"id":131,"doc_module":4,"doc_module_name":25,"category_name":132,"show_sort_weight":101,"slug":133},19,"General","general",{"code":4,"msg":86,"data":135},{"doc_id":83,"user_id":136,"nickname":42,"user_avatar":137,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":143,"language":144,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":12,"update_tm":148,"read_time":149},1374391974564,"https://ap-avatar.wpscdn.com/avatar/14000253aa45c000a9e?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779874745381141002","CHEMICAL IMAGING  \nEndomicroscopic AI-driven morphochemical imaging and fs-laser ablation for selective tumor identification and selective tissue removal  \nMatteo Calvarese1, Elena Corbetta1,2, Jhonatan Contreras1,2, Hyeonsoo Bae2,  \nChenting Lai3, Karl Reichwald3, Tobias Meyer-Zedler1,2, David Pertzborn4, Anna Mühlig4, Franziska Hoffmann4, Bernhard Messerschmidt3, Orlando Guntinas-Lichius4, Michael Schmitt2, Thomas Bocklitz1,2,5, Juergen Popp1,2,6*  \nThe rising incidence of head and neck cancer represents a serious global health challenge, requiring more accurate diagnosis and innovative surgical approaches. Multimodal nonlinear optical microscopy, combining coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), and second-harmonic generation (SHG) with deep learning–based analysis routines, offers label-free assessment of the tissue’s morphochemical composition and allows early-stage and automatic detection of disease. For clinical intraoperative application, compact devices are required. In this preclinical study, a cohort of 15 patients was examined with a newly developed rigid CARS/TPEF/SHG endomicroscope. To detect head and neck tumor from the multimodal data, deep learning–based semantic segmentation models were used. This preclinical study yields in a diagnostic sensitivity of 88% and a specificity of 96%. To combine diagnostics with therapy, machine learning–inspired image-guided selective tissue removal was used by integrating femtosecond laser ablation into the endomicroscope. This enables a powerful approach of intraoperative “seek and treat,” paving the way to advanced surgical treatment.  \nCopyright © 2024 the Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. no claim to original U.S.  \nGovernment Works. Distributed under a Creative Commons Attribution license 4.0 (CC BY) .  \nINTRODUCTION  \nThe rising incidence of cancers is a major global health challenge. To fight cancer, more accurate diagnostic tools and precise function preserving surgical approaches are required. Preservation of function is most critical for cancers close to important functional structures, e.g., in the brain or close to the vocal folds in case of head and neck cancer. Head and neck cancer is among the most common types of cancer in the world, accounting for more than 850,000 new cases and 400,000 deaths annually in 2020 (1) . Moreover, data indicate a general rising trend in incidence and mortality both in welldeveloped and developing countries and predict a 30% increase in annual incidence by 2030 (2). Timely and effective diagnosis of head and neck cancer is thus essential in the mitigation of the burden on both society and economy.  \nHowever, the accurate diagnosis of malignancies in general and specifically head and neck cancer is intricate, requiring a multimodal imaging approach combining, e.g., ultrasound, computed tomography, magnetic resonance imaging, and endoscopy. While all these imaging techniques can visualize tumor masses and their spread preoperatively, intraoperative diagnostics still rely on magnification tools, endoscopy, and microscopy to identify tumor areas.  \n1leibniz-institute of Photonic technology (iP ht ), Member of leibniz-healthtechnologies, Member of the leibniz-Center for Photonics in infection Research (lPi), Albert-einstein-Str. 9, 07745 Jena, Germany. 2institute of Physical Chemistry (iPC) and Abbe Center of Photonics (ACP), Member of the leibniz Center for Photonics in infection Research (lPi), Friedrich-Schiller-University Jena, helmholtzweg 4, 07743 Jena, Germany. 3GRinteCh Gmbh, Otto-eppenstein-Str. 7, Jena, Germany. 4Department of Otorhinolaryngology, Jena University hospital, Jena, Germany. 5institute of Computer Science, Faculty of Mathematics, Physics & Computer Science, University Bayreuth, Universitaetsstraße 30, 95447 Bayreuth, Germany. 6Cluster of excellence Balance of the Microverse, Friedrich Schiller Universi","cbCaijP6q174fSEM","https://ap.wps.com/l/cbCaijP6q174fSEM","pdf",4900275,14,"English","# Introduction\n## Need for more accurate intraoperative diagnostics\n## Limitations of current pathology workflows\n## Rationale for multimodal endomicroscopic imaging\n## Study approach: deep learning segmentation and selective ablation","[{\"question\":\"Why is intraoperative head and neck cancer detection challenging?\",\"answer\":\"Accurate malignancy diagnosis requires multimodal imaging, while intraoperative identification often still relies on magnification tools, endoscopy, and microscopy. Pathology workflows can be time-consuming or less accurate, and outcomes depend on pathologist experience.\"},{\"question\":\"What imaging modalities and AI method were used in the preclinical study?\",\"answer\":\"The study used a rigid endomicroscope combining coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), and second-harmonic generation (SHG). Deep learning–based semantic segmentation models detected head and neck tumors from the multimodal data.\"},{\"question\":\"What diagnostic performance was reported?\",\"answer\":\"The preclinical results reported a diagnostic sensitivity of 88% and a specificity of 96% for tumor detection.\"},{\"question\":\"How was diagnosis combined with therapy in the proposed approach?\",\"answer\":\"Femtosecond laser ablation was integrated into the endomicroscope, enabling image-guided selective tissue removal in a “seek and treat” workflow.\"}]","Endomicroscopic AI-driven Morphochemical Imaging and fs-laser Ablation for Selective Tumor Identification and Selective Tissue Removal | PDF",1790037587,35]