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Recent Trends and Advances in Biomedical Optics and Imaging

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 1420

Special Issue Editors


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Guest Editor
1. Department of Physics, Faculty of Science and Technology, University of Coimbra, 3004-531 Coimbra, Portugal
2. Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal
Interests: optical imaging; biomedical optics; ocular functional imaging; fluorescence lifetime imaging; multiphoton microscopy; optical coherence tomography and elastography

E-Mail Website
Guest Editor
1. Department of Physics, Faculty of Science and Technology, University of Coimbra, 3004-531 Coimbra, Portugal
2. LIBPhys-Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics, Coimbra, Portugal
Interests: biomedical instrumentation and electronics; microcirculation hemodynamics imaging; single-pixel imaging; instrumentation for neurology condition assessment; entropy based biomedical data analysis; geophysics instrumentation

E-Mail Website
Guest Editor
Faculty of Medicine, University of Coimbra, Coimbra, Portugal
Interests: optical coherence tomography; medical imaging; image processing and for the biomedical field; image texture analysis; machine learning; retina; central nervous system

Special Issue Information

Dear Colleagues,

Recent years have witnessed remarkable progress concerning optical techniques for biomedical applications. These techniques provide information to understand and diagnose a wide range of diseases.

This Special Issue intends to explore the latest advances and developments in biomedical optics and optical imaging, exploring potential applications in diagnosis ranging from the cellular to the macroscopic levels. The focus will be on advancements in optical techniques, instrumentation, and signal and image processing methods for biomedical optics.

Topics to be covered include, but are not limited to:

  • Optical imaging technologies
  • Ocular imaging and sensing and visual optics
  • Advanced microscopy and endoscopy techniques
  • Optical tomography
  • Optical spectroscopy
  • Tissue optics
  • Nanophotonics
  • Signal and image processing for biomedical optics
  • Multispectral imaging and sensing
  • Optical sensors for biomedicine

Dr. António Miguel L. S. Morgado
Dr. João M. R. Cardoso
Dr. Rui Bernardes
Dr. Anne Humeau-Heurtier
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical imaging technologies 
  • tissue optics 
  • optical sensors for biomedicine

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Published Papers (1 paper)

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Research

23 pages, 4123 KiB  
Article
Enhanced DWT for Denoising Heartbeat Signal in Non-Invasive Detection
by Peibin Zhu, Lei Feng, Kaimin Yu, Yuanfang Zhang, Meiling Dai, Wen Chen and Jianzhong Hao
Sensors 2025, 25(6), 1743; https://doi.org/10.3390/s25061743 - 11 Mar 2025
Viewed by 658
Abstract
Achieving both accurate and real-time monitoring heartbeat signals by non-invasive sensing techniques is challenging due to various noise interferences. In this paper, we propose an enhanced discrete wavelet transform (DWT) method that incorporates objective denoising quality assessment metrics to determine accurate thresholds and [...] Read more.
Achieving both accurate and real-time monitoring heartbeat signals by non-invasive sensing techniques is challenging due to various noise interferences. In this paper, we propose an enhanced discrete wavelet transform (DWT) method that incorporates objective denoising quality assessment metrics to determine accurate thresholds and adaptive threshold functions. Our approach begins by denoising ECG signals from various databases, introducing several types of typical noise, including additive white Gaussian (AWG) noise, baseline wandering noise, electrode motion noise, and muscle artifacts. The results show that for Gaussian white noise denoising, the enhanced DWT can achieve 1–5 dB SNR improvement compared to the traditional DWT method, while for real noise denoising, our proposed method improves the SNR tens or even hundreds of times that of the state-of-the-art denoising techniques. Furthermore, we validate the effectiveness of the enhanced DWT method by visualizing and comparing the denoising results of heartbeat signals monitored by fiber-optic micro-vibration sensors against those obtained using other denoising methods. The improved DWT enhances the quality of heartbeat signals from non-invasive sensors, thereby increasing the accuracy of cardiovascular disease diagnosis. Full article
(This article belongs to the Special Issue Recent Trends and Advances in Biomedical Optics and Imaging)
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