Journal of Biophotonics focuses on the interdisciplinary field of biophotonics, publishing cutting-edge research on interactions between light and biological material. The journal covers photonics research in areas such as life sciences, medicine and biomedicine, environmental science, nutrition, biology, physics, and chemistry, ranging from fundamental research to the latest clinical applications.

Accumulating evidence suggests that cannabidiol can synergise with various anticancer agents to increase their efficacy although cannabidiol demonstrates low bioavailability. Nanotechnology addresses these issues and enhance the biological efficiency and targeted specificity of anticancer agents such as photodynamic therapy in combination with CBD.

This study proposed a framework for spectroscopic PA imaging in the challenging setting of a beating heart, implementing cardiac gating based on image similarity to address tissue motion during the cardiac cycle and enhance imaging quality. We assess the feasibility of the method by identifying ablation-induced lesions through spectral analysis. The study demonstrates enhanced imaging quality and accurate assessment of ablation-induced necrotic lesions on the beating heart in both ex vivo and in vivo swine models.

The method of laser IR spectroscopy enables the diagnosis of a person's disease by analyzing their exhaled breath. This study proposes a hybrid approach that combines a variational autoencoder with the support vector machine method for classifying human exhaled breath. Experimental results demonstrate that this approach achieves a result of 100% when classifying diseases.

Diagram depicting the main stages of the investigation described in this paper.

As the photoacoustic signal from the skin hinders the analysis of deep regions of interest in photoacoustic computed tomography (PACT) images, a 2.5D-DeepFPN model is developed and an automatic mask-generation algorithm is designed. This method may provide a promising way for solving the skin-removal problem in deep tissue PACT imaging.

In this paper, two lasers combined with spectral unmixing were used to achieve four-color living cell imaging in a structured illumination microscopy (SIM) system. Our multi-color SIM imaging system establishes a powerful platform for dynamic organelle studies and other high-resolution investigations in live cells.

Otitis media (OM) is an inflammatory middle-ear infection in children that can lead to antibiotic-resistant bacterial biofilms in recurrent or chronic cases. Optical coherence tomography (OCT) is used clinically to visualize these biofilms. This study used OCT to compare texture features from primary bacterial biofilms, employing machine-learning frameworks (SVM, random forest, XGBoost). Optimized SVM-RBF and XGBoost classifiers achieved over 95% AUC. These results demonstrate the potential for differentiating OM-causing biofilms with OCT and offer insights for real-time in vivo characterization.

Electric field distribution of a dome under top/bottom illumination.

Human bronchial epithelial cells (BEAS-2B) were stimulated with cigarette smoke extract (CSE) and house dust mite (HDM) for induction of the asthma-COPD overlap (ACO). There was an increase in the secretion of inflammatory cytokines in the ACO group. Following photobiomodulation therapy (FBM), a reduction in inflammation was demonstrated with a decrease in the concentration of inflammatory cytokines and increase in IL-10 and IFN-γ.

This manuscript introduces a novel system for the early detection of pressure ulcers using laser speckle and thermal imaging. By dynamically monitoring skin changes after cooling stimulation, our method not only identifies early ulcer signs with high accuracy but also helps in proactive ulcer management and prevention.

Using fluorescence spectroscopy (FS) in combination with local temperature tests, this clinical study determines the most reproducible parameters of energy metabolism (NADH and FAD fluorescence amplitudes) in the skin of the forearm. The results of the study increase the reliability of the FS for assessing energy metabolism parameters in clinical practice.

This study proposes a novel motion correction method based on image feature matching for OCT microvascular images. The proposed method can simultaneously perform motion correction for OCT structural images and OCTA vascular images with fast processing speed and directly improve OCTA image quality without post-processing.

Photobiomodulation is an emerging cancer therapy. Irradiation with 457 and 475 nm blue light inhibited cell proliferation, induced endoplasmic reticulum stress and cell cycle arrest in SCC-25 cells. The 457 nm light had a more sustained inhibitory effect and upregulated the aryl hydrocarbon receptor pathway, suggesting potential therapeutic applications.

The impacts of photobiomodulation on glutathione-related antioxidant defense system in eye tissues.

Quantitative perfusion mapping of mucosa may provide valuable data on tissue healing process after surgical interventions. The endoscope-based setup for non-invasive perfusion monitoring is proposed. The combination of imaging photoplethysmography and an image processing algorithm provides automated frame-by-frame wound area selection and perfusion calculation. The first results of the proposed approach to monitoring wound healing after tonsillectomy are presented.

We integrated cupping and hemodynamics monitoring via NIRS to evaluate LBP. After cupping, the concentration changes of oxy-hemoglobin (Δ[HbO₂]) in the emitter-detector channel parallel to spine exhibited that LBP was remarkably lower by approximately 67% compared with the controls, which provided a quantitative assessment technique for LBP.

We demonstrate the use of a U-Net-based deep-learning algorithm for suppressing the inherent shot noise of the two-photon fluorescence images excited with GHz femtosecond pulses.

Speckle laser technology enhances diagnostic accuracy, while the exploration of new bioactive materials and the provision of detailed information on enamel microstructure significantly expand therapeutic options and knowledge in the field of dentistry.

Quantifying liver fat content and droplet size are essential for evaluating donor livers. Utilizing Monte Carlo simulations and oil-in-water phantoms, the study reveals that Raman scattering distinguishes between fat contents, while reflectance intensity is sensitive to both fat content and droplet size, with a stronger response to droplet size. This dual-spectroscopy approach shows promise in improving liver steatosis assessment, potentially enhancing donor liver selection for transplantation.

Repeated capillary refill tests were performed on the skin of the study subjects and filmed with polarized reflectance spectroscopi and analyzed with a software program where the concentration of hemoglobin in the skin, representing erythema, was measured. From that capillary refill time was calculated.