Wenhui Sun, Ellen Ruiqi Yin, Yushi Chen, Tianyue Li, Linwei Shang, Jianhua Yin, Huijie Wang
{"title":"Functional and Biochemical Optical Imaging Techniques and Advances in Skin Disease Detection and Assessment","authors":"Wenhui Sun, Ellen Ruiqi Yin, Yushi Chen, Tianyue Li, Linwei Shang, Jianhua Yin, Huijie Wang","doi":"10.1002/jbio.70370","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Optical imaging can acquire various types of information from different skin levels, supporting non-invasive diagnosis and dynamic monitoring. This article analyzes typical functional and biochemical optical imaging modalities providing clear interpretable information and reviews their applications in skin disease detection. It compares their information characteristics, unique diagnostic capabilities, clinical status, current limitations, and translational requirements. However, no single modality can fully characterize the complex pathological changes and multidimensional features of skin lesions because imaging depth, spatial resolution, and information specificity cannot be optimized simultaneously. Multimodal imaging is therefore essential for integrating complementary structural, functional, and molecular information and providing a more comprehensive representation of lesion heterogeneity. This review further examines major multimodal fusion strategies and discusses challenges including cross-modal registration, information redundancy, and unified representation. Developing adaptive multimodal imaging and fusion frameworks that effectively capture and integrate multidimensional diagnostic information represents an important direction toward more accurate skin disease assessment.</p>\n </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biophotonics","FirstCategoryId":"101","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jbio.70370","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Optical imaging can acquire various types of information from different skin levels, supporting non-invasive diagnosis and dynamic monitoring. This article analyzes typical functional and biochemical optical imaging modalities providing clear interpretable information and reviews their applications in skin disease detection. It compares their information characteristics, unique diagnostic capabilities, clinical status, current limitations, and translational requirements. However, no single modality can fully characterize the complex pathological changes and multidimensional features of skin lesions because imaging depth, spatial resolution, and information specificity cannot be optimized simultaneously. Multimodal imaging is therefore essential for integrating complementary structural, functional, and molecular information and providing a more comprehensive representation of lesion heterogeneity. This review further examines major multimodal fusion strategies and discusses challenges including cross-modal registration, information redundancy, and unified representation. Developing adaptive multimodal imaging and fusion frameworks that effectively capture and integrate multidimensional diagnostic information represents an important direction toward more accurate skin disease assessment.
期刊介绍:
The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.