Functional and Biochemical Optical Imaging Techniques and Advances in Skin Disease Detection and Assessment

IF 2 3区 物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS
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,&nbsp;Ellen Ruiqi Yin,&nbsp;Yushi Chen,&nbsp;Tianyue Li,&nbsp;Linwei Shang,&nbsp;Jianhua Yin,&nbsp;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.

皮肤疾病检测与评估的功能与生化光学成像技术与进展。
光学成像可以获取不同皮肤层次的各类信息,支持无创诊断和动态监测。本文分析了典型的功能和生化光学成像方式,提供了清晰的可解释信息,并综述了它们在皮肤病检测中的应用。它比较了它们的信息特征、独特的诊断能力、临床状态、当前限制和翻译要求。然而,由于成像深度、空间分辨率和信息特异性无法同时优化,单一模式无法完全表征皮肤病变复杂的病理变化和多维特征。因此,多模态成像对于整合互补的结构、功能和分子信息以及提供更全面的病变异质性表征至关重要。本文进一步探讨了主要的多模态融合策略,并讨论了包括跨模态注册、信息冗余和统一表示在内的挑战。开发自适应多模态成像和融合框架,有效地捕获和整合多维诊断信息,是实现更准确的皮肤病评估的重要方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Biophotonics
Journal of Biophotonics 生物-生化研究方法
CiteScore
5.70
自引率
7.10%
发文量
248
审稿时长
1 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书