Dynamic Light Scattering in Biomedical Applications:feature issue introduction

Abstract

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. [Abstract copyright: © 2024 Optica Publishing Group.]

Publication DOI: https://doi.org/10.1364/BOE.525699
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Engineering for Health
College of Health & Life Sciences
College of Engineering & Physical Sciences
Additional Information: © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement. Authors and readers may use, reuse, and build upon the article, or use it for text or data mining without asking prior permission from the publisher or the Author(s), as long as the purpose is non-commercial and appropriate attribution is maintained.
Publication ISSN: 2156-7085
Last Modified: 05 Jul 2024 16:45
Date Deposited: 27 Jun 2024 13:11
Full Text Link:
Related URLs: https://opg.opt ... -2890&id=548783 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-05-01
Published Online Date: 2024-04-08
Accepted Date: 2024-04-03
Authors: Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)
Dunn, Andrew
Durduran, Turgut
Postnov, Dmitry
Zhu, Dan

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