Meglinski Igor, Dunn Andrew, Durduran Turgut, Postnov Dmitry, Zhu Dan
College of Engineering and Physical Science, Aston University, Birmingham, B4 7ET, United Kingdom.
Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
Biomed Opt Express. 2024 Apr 8;15(5):2890-2897. doi: 10.1364/BOE.525699. eCollection 2024 May 1.
The feature Issue on "Dynamic Light Scattering in Biomedical Applications" presents a compilation of research breakthroughs and technological advancements that have shaped the field of biophotonics, particularly in the non-invasive exploration of biological tissues. Highlighting the significance of dynamic light scattering (DLS) alongside techniques like laser Doppler flowmetry (LDF), diffusing wave spectroscopy (DWS), and laser speckle contrast imaging (LSCI), this issue underscores the versatile applications of these methods in capturing the intricate dynamics of microcirculatory blood flow across various tissues. Contributions explore developments in fluorescence tomography, the integration of machine learning for data processing, enhancements in microscopy for cancer detection, and novel approaches in optical biophysics, among others. Innovations featured include a high-resolution speckle contrast tomography system for deep blood flow imaging, a rapid estimation technique for real-time tissue perfusion imaging, and the use of convolutional neural networks for efficient blood flow mapping. Additionally, studies delve into the impact of skin strain on spectral reflectance, the sensitivity of cerebral blood flow measurement techniques, and the potential of photobiomodulation for enhancing brain function. This issue not only showcases the latest theoretical and experimental strides in DLS-based imaging but also anticipates the continued evolution of these modalities for groundbreaking applications in disease detection, diagnosis, and monitoring, marking a pivotal contribution to the field of biomedical optics.
“生物医学应用中的动态光散射”专题汇集了一系列研究突破和技术进步,这些突破和进步塑造了生物光子学领域,尤其是在生物组织的非侵入性探测方面。该专题突出了动态光散射(DLS)与激光多普勒血流仪(LDF)、扩散波谱学(DWS)和激光散斑对比成像(LSCI)等技术的重要性,强调了这些方法在捕捉不同组织中微循环血流复杂动态方面的广泛应用。论文涵盖了荧光断层扫描的进展、用于数据处理的机器学习集成、用于癌症检测的显微镜技术改进以及光学生物物理学的新方法等内容。其中的创新包括用于深部血流成像的高分辨率散斑对比断层扫描系统、用于实时组织灌注成像的快速估计技术以及使用卷积神经网络进行高效血流映射。此外,研究还深入探讨了皮肤应变对光谱反射率的影响、脑血流测量技术的敏感性以及光生物调节增强脑功能的潜力。本专题不仅展示了基于DLS成像的最新理论和实验进展,还展望了这些技术在疾病检测、诊断和监测方面的开创性应用的持续发展,标志着对生物医学光学领域的关键贡献。