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Biomedical Optics and Imaging: Latest Advances and Prospects

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 20 February 2026 | Viewed by 2618

Special Issue Editor


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Guest Editor
Department of Physics, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada
Interests: physics of biomedical imaging (diffuse tomography, photoacoustics, NIRS, MRI); biophotonics; brain imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biomedical optical imaging is continuing to grow in many different directions due to the rapid developments of novel devices, methods, and applications.

The purpose of this Special Issue is to provide an overview of recent advances and prospects in biomedical optics and imaging. Potential topics include, but are not limited to, novel methods and instrument designs, in vivo imaging and monitoring of human and animal cells, organs and embryos, biomedical optical guidance, detection and characterization of diseases, and quantum and molecular imaging.

Dr. Vladislav Toronov
Guest Editor

Manuscript Submission Information

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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. Applied Sciences 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 2400 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

  • dynamic light scattering imaging
  • quantum biophotonics
  • multiphoton and super-resolution microscopy
  • immunifluorescence
  • applications of tissue optical clearing
  • optical coherence tomography and elastography
  • molecular imaging
  • brain imaging
  • photoacoustics
  • applications of machine learning in spectroscopy

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Published Papers (2 papers)

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Research

29 pages, 3619 KB  
Article
Pointwise Hypothesis Testing of Biomedical Near-Infrared Spectroscopy Signals
by Jonas Matijošius, Miglė Gervytė and Tadas Žvirblis
Appl. Sci. 2025, 15(21), 11519; https://doi.org/10.3390/app152111519 - 28 Oct 2025
Viewed by 365
Abstract
This study uses a pointwise statistical approach to analyze Near-Infrared Spectroscopy (NIRS) signals in preterm infants with and without Patent Ductus Arteriosus (PDA). The analysis focuses on three signals: blood oxygenation (SpO2), cerebral oxygenation (rSO2-1), and renal oxygenation (rSO [...] Read more.
This study uses a pointwise statistical approach to analyze Near-Infrared Spectroscopy (NIRS) signals in preterm infants with and without Patent Ductus Arteriosus (PDA). The analysis focuses on three signals: blood oxygenation (SpO2), cerebral oxygenation (rSO2-1), and renal oxygenation (rSO2-2), across three newborn groups: without PDA (no-PDA), with hemodynamically insignificant PDA (PDA), and with hemodynamically significant PDA (hsPDA). While NIRS is widely used in medicine, its research, featuring statistical analysis, has been limited. Smoothed signals were tested using pointwise ANOVA and Tukey HSD to detect significant group differences. Results showed distinct patterns in rSO2-1 and rSO2-2, with the hsPDA group standing out in rSO2-1 and the no-PDA group in rSO2-2, demonstrating the value of this method in biomedical signal analysis. Pointwise ANOVA shows more time periods with significant differences compared to the SpO2 signal. The time period with the most significant differences is between 2 and 6 h, with additional peaks of p-values below 0.05 occurring before 2 h. These findings demonstrate the value of FDA in improving statistical analysis of biomedical NIRS signals and support its use in future research. Full article
(This article belongs to the Special Issue Biomedical Optics and Imaging: Latest Advances and Prospects)
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18 pages, 2761 KB  
Article
Assessing the Relationship Between Cerebral Metabolic Rate of Oxygen and Redox Cytochrome C Oxidase During Cardiac Arrest and Cardiopulmonary Resuscitation
by Nima Soltani, Rohit Mohindra, Steve Lin and Vladislav Toronov
Appl. Sci. 2025, 15(3), 1542; https://doi.org/10.3390/app15031542 - 3 Feb 2025
Cited by 1 | Viewed by 1963
Abstract
Evaluating brain oxygen metabolism during cardiac arrest and cardiopulmonary resuscitation (CPR) is essential for improving neurological outcomes and guiding clinical interventions in high-stress medical emergencies. This study focused on two key indicators of brain oxygen metabolism: the cerebral metabolic rate of oxygen ( [...] Read more.
Evaluating brain oxygen metabolism during cardiac arrest and cardiopulmonary resuscitation (CPR) is essential for improving neurological outcomes and guiding clinical interventions in high-stress medical emergencies. This study focused on two key indicators of brain oxygen metabolism: the cerebral metabolic rate of oxygen (CMRO2) and the oxidation state of redox cytochrome c oxidase (rCCO). Using advanced techniques such as hyperspectral near-infrared spectroscopy (hNIRS) and laser Doppler flowmetry (LDF), we conducted a comprehensive analysis of their relationship in pigs during and after cardiac arrest and CPR. Both the entire duration of these experiments and specific time intervals were investigated, providing a detailed view of how these metrics interact. The data reveal a non-linear relationship between rCCO and CMRO2. Our findings contribute to a deeper understanding of how the brain manages oxygen during critical episodes, potentially guiding future interventions in neurological care and improving outcomes in emergency medical settings. Full article
(This article belongs to the Special Issue Biomedical Optics and Imaging: Latest Advances and Prospects)
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