{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T08:10:57Z","timestamp":1789027857910,"version":"build-2803163510"},"reference-count":26,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62105245"],"award-info":[{"award-number":["62105245"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biophotonics"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Subtle differences between cancerous and normal regions in unstained tissue sections limit the performance of conventional diagnostic methods. Mueller matrix polarimetry provides comprehensive information on tissue polarization responses; however, the intrinsic coupling of optical effects in the original matrix elements complicates direct histological interpretation. In this study, a pixel\u2010level polarization dataset from clinical lung cancer and basal cell carcinoma sections is established to systematically compare low\u2010dimensional physical decomposition and high\u2010dimensional combination mapping for cancer\u2010region identification. Conventional decomposition approaches exhibit limited discriminative capability and significant class overlap in complex tissues. To address this limitation, a vectorial metric norm spectrum incorporating multi\u2010order features is developed, enabling enhanced representation of polarization characteristics. The proposed high\u2010dimensional mapping framework achieves accurate differentiation between cancerous and normal regions and demonstrates strong performance in cross\u2010validated evaluations. This work establishes a progressive strategy from physical decomposition to high\u2010dimensional representation for optical\u2010assisted pathological analysis.<\/jats:p>","DOI":"10.1002\/jbio.70331","type":"journal-article","created":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T12:16:50Z","timestamp":1786450610000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Path Analysis of the Cancer Mueller Matrix: From Physical Decomposition to High\u2010Dimensional Vector Mapping"],"prefix":"10.1002","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2347-6241","authenticated-orcid":false,"given":"ChenChen","family":"Wang","sequence":"first","affiliation":[{"name":"College of Optoelectronic Engineering, Changchun University of Science and Technology  Changchun China"},{"name":"Zhongshan Research Institute, Changchun University of Science and Technology  Zhongshan 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