Emerging Trends in Biomedical Optical Imaging

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Biophotonics and Biomedical Optics".

Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 421

Special Issue Editors


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Guest Editor
Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239-3098, USA
Interests: bio-optics; two-photon microscopy; multispectral imaging; CLSM; scattering confocal microscopy; polarization imaging

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Guest Editor
Global Technology Center, Colgate Palmolive Company, 909 River Road, Piscataway, NJ 08855, USA
Interests: biomedical optics; optical instrumentation; medical devices; optical microscopy; OCT; MPM; colorimetry and spectral imaging; instrumental cosmetics; robotics; photoacoustics; image and signal processing; machine learning and computational optics
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Special Issue Information

Dear Colleagues,

Biomedical optical imaging has revolutionized our ability to visualize and understand biological processes at multiple scales. Recent advancements in optics, photonics, and computational techniques have opened new frontiers in this field, enabling unprecedented resolution, sensitivity, and specificity in clinical and research settings.

This Special Issue highlights cutting-edge developments in biomedical optical imaging, focusing on novel technologies, methods, and applications shaping the future of healthcare and life sciences. We invite original research articles, reviews, and perspective pieces that address recent innovations in areas such as:

  • Super-resolution microscopy;
  • Multiphoton and light-sheet imaging;
  • Optical coherence tomography (OCT);
  • Photoacoustic imaging;
  • Raman spectroscopy and imaging;
  • Fluorescence lifetime imaging (FLIM);
  • Optogenetics and optical manipulation;
  • Infrared thermography imaging;
  • Computational imaging and artificial intelligence in optical imaging;
  • Translational applications in diagnostics and therapy.

We particularly encourage submissions that explore the integration of multiple imaging modalities, developing new contrast agents, and applying these technologies to address pressing biomedical challenges.

Dr. Ravikant V. Samatham
Dr. Hrebesh M. Subhash
Guest Editors

Manuscript Submission Information

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Keywords

  • biomedical imaging
  • biophotonics
  • super-resolution
  • multiphoton microscopy
  • OCT
  • photoacoustic imaging
  • Raman spectroscopy
  • FLIM
  • optogenetics
  • computational imaging

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Published Papers (1 paper)

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Research

15 pages, 3015 KiB  
Article
Noise Reduction in LED-Based Photoacoustic Imaging
by Takahiro Kono, Kazuma Hashimoto, Keisuke Fukuda, Uma Maheswari Rajagopalan, Kae Nakamura and Jun Yamada
Photonics 2025, 12(4), 398; https://doi.org/10.3390/photonics12040398 - 18 Apr 2025
Viewed by 68
Abstract
Photoacoustic tomography (PAT), also known as optoacoustic tomography, has been emerging as a biomedical imaging modality that can provide cross-sectional or three-dimensional (3D) visualization of biological tissues such as blood vessels and lymphatic vessels in vivo at high resolution. The principle behind the [...] Read more.
Photoacoustic tomography (PAT), also known as optoacoustic tomography, has been emerging as a biomedical imaging modality that can provide cross-sectional or three-dimensional (3D) visualization of biological tissues such as blood vessels and lymphatic vessels in vivo at high resolution. The principle behind the visualization involves the light being absorbed by the tissues which results in the generation of ultrasound. Depending on the strength of ultrasound and its decay rate, it could be used to visualize the absorber location. In general, pulsed lasers such as the Q-switched Nd-YAG and OPO lasers that provide high-energy widths in the range of a few nanoseconds operating at low repetition rates are commonly used as a light source in photoacoustic imaging. However, such lasers are expensive and occupy ample space. Therefore, PAT systems that use LED as the source instead of lasers, which have the advantage of being obtainable at low cost and portable, are gaining attention. However, LED light sources have significantly low energy, and the photoacoustic signals generated have a low signal-to-noise ratio (SNR). Therefore, in LED-based systems, one way to strengthen the signal and improve the SNR is to significantly increase the repetition rate of LED pulses and use signal processing, which can be achieved using a high-power LED along M-sequence signal decoding. M-sequence signal decoding is effective, especially under high repetition rates, thus improving the SNR. However, power supplies for high-power LEDs have a circuit jitter, resulting in random temporal fluctuations in the emitted light. Such jitters, in turn, would affect the M-sequence-based signal decoding. Therefore, we propose a new decoding algorithm which compensates for LED jitter in the M-sequence signal processing. We show that the proposed new signal processing method can significantly improve the SNR of the photoacoustic signals. Full article
(This article belongs to the Special Issue Emerging Trends in Biomedical Optical Imaging)
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