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Autofluorescence-based fluorescence-lifetime imaging microscopy (FLIM) measures endogenous fluorophore decay rates and may help identify optimal biopsy sites in suspected lung cancer.",{"@graph":14,"@context":73},[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/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/fibre-based-fluorescence-lifetime-imaging-microscopy-a-real-time-biopsy-guidance-tool-for-suspected-lung-cancer/327136/",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/fibre-based-fluorescence-lifetime-imaging-microscopy-a-real-time-biopsy-guidance-tool-for-suspected-lung-cancer/327136.png","ImageObject",300,407,{"name":42,"@type":43},"Lucas Martin","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-23","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Why is early detection important in suspected lung cancer?","Question",{"text":63,"@type":64},"Early detection improves clinical outcomes by enabling timely diagnosis and treatment. Low-dose computed tomography screening reduces lung cancer mortality through early detection and subsequent management.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What technique does the study evaluate for biopsy guidance?",{"text":68,"@type":64},"The study evaluates fibre-based fluorescence-lifetime imaging microscopy (FLIM), which measures fluorescence lifetime from endogenous autofluorescence to support distinguishing cancerous tissue from adjacent healthy tissue.",{"name":70,"@type":61,"acceptedAnswer":71},"How does the fibre-based system aim to improve biopsy sampling?",{"text":72,"@type":64},"By providing real-time visualisation and quantitative lifetime analysis, the system supports identifying optimal biopsy sites and distinguishing ex vivo lung cancer from non-cancerous lung tissue to enhance diagnostic accuracy.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},327136,1790187287,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":55,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":107,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":144,"preview_page_count":4},8796095360427,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Fibre-based fluorescence-lifetime imaging microscopy: areal-time biopsy guidance tool for suspected lung cancer  \nSusan Fernandes 1,2 ^, Elvira Williams 1 , Neil Finlayson 1,3 ^, Hazel Stewart 1 ^, Catharine Dhaliwal4 , David A. Dorward 1,5, William A. Wallace5, Ahsan R. Akram 1,2^, James Stone 1,6^, Kevin Dhaliwal 1,2^, Gareth O. S. Williams1^  \n1Translational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK; 2Department of Respiratory Medicine, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK; 3Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh, Edinburgh, UK; 4Department of Pathology, NHS Lothian, Western General Hospital, Edinburgh, UK; 5Department of Pathology, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK; 6Centre for Photonics and Photonic Materials, Department of Physics, The University of Bath, Bath, UK  \nCorrespondence to: Gareth O. S. Williams, PhD. Translational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, 4-5 Little France Drive, Edinburgh, EH16 4UU, [UK. Email: G.O.S.Williams@ed.ac.uk](UK. Email: G.O.S.Williams@ed.ac.uk); Kevin Dhaliwal, MD, PhD. Translational Healthcare Technologies Group, Centre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, 4-5 Little France Drive, Edinburgh, EH16 4UU, UK; Department of Respiratory Medicine, NHS Lothian, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh, EH16 4SA, UK. Email: kev.[dhaliwal@ed.ac.uk](dhaliwal@ed.ac.uk).  \nAbstract: Lung cancer is the most common cause of cancer-related deaths worldwide. Early detection improves outcomes, however, existing sampling techniques are associated with suboptimal diagnostic yield and procedure-related complications. Autofluorescence-based fluorescence-lifetime imaging microscopy (FLIM), a technique which measures endogenous fluorophore decay rates, may aid identification of optimal biopsy sites in suspected lung cancer. Our fibre-based fluorescence-lifetime imaging system, utilising 488 nm excitation, which is deliverable via existing diagnostic platforms, enables real-time visualisation and lifetime analysis of distal alveolar lung structure. We evaluated the diagnostic accuracy of the fibre-based fluorescence-lifetime imaging system to detect changes in fluorescence lifetime in freshly resected ex vivo lung cancer and adjacent healthy tissue as a first step towards future translation. The study compares paired non-small cell lung cancer (NSCLC) and non-cancerous tissues with gold standard diagnostic pathology to assess the performance of the technique. Paired NSCLC and non-cancerous lung tissues were obtained from thoracic resection patients (N=21) . A clinically compatible 488 nm fluorescence-lifetime endomicroscopy platform was used to acquire simultaneous fluorescence intensity and lifetime images. Fluorescence lifetimes were calculated using a computationally-lightweight, rapid lifetime determination method. Fluorescence lifetime was significantly reduced in ex vivo lung cancer, compared with non-cancerous lung tissue [mean ± standard deviation (SD), 1.79±0.40 vs. 2.15±0.26 ns, P\u003C0.0001], and fluorescence intensity images demonstrated distortion of alveolar elastin autofluorescence structure. Fibre-based fluorescence-lifetime imaging demonstrated good performance characteristics for distinguishing lung cancer, from adjacent noncancerous tissue, with 81.0% sensitivity and 71.4% specificity. Our novel fibre-based fluorescence-lifetime imaging system, which enables label-free imaging and quantitative lifetime analysis, discriminates ex vivo lung cancer from adjacent healthy tissue. This minimally invasive technique has potential to be translated as  \na real-time biopsy guidance tool, capable of optimising diagnostic accu","cbCaid6XFomWdZj9","https://ap.wps.com/l/cbCaid6XFomWdZj9","pdf",636525,"English","# Introduction\n## Background on lung cancer screening and diagnosis\n## Advances in bronchoscopy and imaging guidance\n## Fibre-based optical techniques and FLIM","[{\"question\":\"Why is early detection important in suspected lung cancer?\",\"answer\":\"Early detection improves clinical outcomes by enabling timely diagnosis and treatment. Low-dose computed tomography screening reduces lung cancer mortality through early detection and subsequent management.\"},{\"question\":\"What technique does the study evaluate for biopsy guidance?\",\"answer\":\"The study evaluates fibre-based fluorescence-lifetime imaging microscopy (FLIM), which measures fluorescence lifetime from endogenous autofluorescence to support distinguishing cancerous tissue from adjacent healthy tissue.\"},{\"question\":\"How does the fibre-based system aim to improve biopsy sampling?\",\"answer\":\"By providing real-time visualisation and quantitative lifetime analysis, the system supports identifying optimal biopsy sites and distinguishing ex vivo lung cancer from non-cancerous lung tissue to enhance diagnostic accuracy.\"}]","Fibre-based fluorescence-lifetime imaging microscopy - a real-time biopsy guidance tool for suspected lung cancer | PDF",1789976513,18]