Advances in Optical Techniques for Tumor Detection
Source abstract
Abstract
Abstract The critical importance of early cancer detection in improving patient survival rates has driven substantial innovation in diagnostic methodologies. Optical detection technologies, renowned for their superior sensitivity, molecular specificity, and non‐invasive or minimally invasive operational capabilities, have emerged as critical tools for tumor detection. This review systematically examines the use of optical techniques in tumor recognition and diagnosis, with particular emphasis on five technologies: Raman spectroscopy, fluorescence sensors, fiber‐optic biosensors, photoacoustic imaging systems, and colorimetric detection platforms. The methods for the direct detection of tumor cells and tumor tissue are first reviewed. Then the contents of some indirect tumor detection methods (through, e.g., cell‐derived components, peripheral microenvironment, and molecular biomarkers such as proteins or nucleic acids) are broaden. The review evaluates recent technological progress, identifies key challenges and clinical barriers, and aims to guide future research toward the development of next generation optical platforms for accurate and early cancer diagnosis.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Photoacoustic and Ultrasonic Imaging · Spectroscopy Techniques in Biomedical and Chemical Research · Nanoplatforms for cancer theranostics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Zhejiang Engineering Research Center for Intelligent Medical Imaging Sensing and Non‐invasive Rapid Testing Taizhou Hospital of Zhejiang Province Zhejiang University Taizhou 317000 P. R. China
School of Pharmaceutical Sciences Taizhou University Zhejiang 318000 P. R. China
Centre for Optical and Electromagnetic Research National Engineering Research Center for Optical Instruments Zhejiang University Hangzhou 310058 P. R. China
Key Laboratory of Biotechnology and Bioresources Utilization Ministry of Education Dalian Minzu University Dalian 116600 P. R. China
School of Electrical Engineering Royal Institute of Technology Stockholm S‐100 44 Sweden
Funding
Liaoning Provincial Department of Human Resources and Social Security · Innovative Research Group Project of the National Natural Science Foundation of China · Key Technologies Research and Development Program · Ningbo Municipal Bureau of Science and Technology
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