Journal of Biophotonics最新文献

Blood systemic photobiomodulation (BSP) is an integrative approach using low-intensity lasers or LEDs. This is a therapeutic strategy to modulate inflammatory, metabolic, and hemostatic biomarkers, promoting potentially beneficial systemic effects. Fifty-six female volunteers participated in this study that investigated the effects of different transcutaneous photobiomodulation protocols applied over the radial artery, using red and infrared light under different dosimetry. Volunteers were allocated into experimental groups, and biomarkers were evaluated. Results show that the IR-V group exhibited a significant increase in HDL levels after treatment. Regarding insulin, a significant reduction was observed in the IR-LD group after treatment; ferritin levels were significantly reduced in the LED group. No significant differences were found for the other biomarkers analyzed. These findings reinforce the importance of personalizing photobiomodulation protocols and suggest that specific wavelength- and dose-dependent parameters may lead to distinct systemic biochemical responses.

Ankyloglossia is a congenital condition characterized by restricted tongue mobility due to an abnormal lingual frenum, which may impair breastfeeding in newborns and infants. Early diagnosis and treatment are essential to prevent functional complications. This case series describes 35 newborns and infants with ankyloglossia who underwent frenectomy using a super-pulsed dual-wavelength diode laser. The procedures were performed using a diode laser operating at wavelengths of 810 nm (1.2 W) and 980 nm (1.4 W), delivering a final output power of 1.1 W, in super-pulsed mode (20 Hz frequency, 0.05 ms pulse width), with a 400-μm fiber optic tip. Healing and tongue mobility were evaluated immediately after surgery and at seven and 15 days. Most cases showed balanced tissue repair, absence of fibrosis, and improved tongue mobility, resulting in effective breastfeeding. Unfavorable outcomes were associated with external factors such as pathological healing history and poor adherence to postoperative care.

This study presents a noninvasive and label-free endometrial cancer screening approach combining fluorescence lifetime imaging microscopy (FLIM) with a multi-parameter deep learning algorithm. The autofluorescence signals of NAD(P)H in cervical exfoliated cells of participants (n = 71) were detected by FLIM. Two key metabolic parameters—mean fluorescence lifetime (t_m) and protein-bound fraction (a₂)—were extracted using FLIM data, which reflect malignancy-associated biochemical changes. Single-parameter models based on individual parameters (t_m or a₂) and a multi-parameter model integrating both parameters were constructed. The results showed that single-parameter models suffered from sensitivity-specificity imbalance while the multi-parameter model leveraging feature complementarity significantly improved predictive performance—achieving 100% sensitivity and 92% specificity in external testing, with an AUC of 0.92, representing an improvement of 0.17–0.31 over single-parameter models. These findings suggest that combining multi-parameter deep learning strategies with FLIM holds strong potential for risk prediction of endometrial cancer, offering a new approach for noninvasive clinical screening.

The adverse effects of breast implants, especially silicone breast implants, are increasingly being shown. In addition to complications related to surgical technique and individual patient factors, the implant aging is suspected of being one of the main causes. This study employs the Raman technique, a label-free, non-destructive method that provides chemical composition information, to clarify the structure of the membrane and its gel-bleeding prevention function. The results identified two important markers—diphenylsiloxane and CH₃ vibration—that can distinguish the degradation state of silicone breast implants before and after implantation. In addition, two Raman bands at 1159 and 1524 cm⁻¹, indicative of gel yellowing, were identified, providing potential insights into the permeation of external substances into the gel through the membrane. The results are consistent with previous observations and highlight the potential of deep learning models to determine degradation time thresholds based on these identified markers.

A procedure based on exposure to ultraviolet-A (UV-A) radiation is in current development for treating pathological conditions of the eyelid generated through the laxity of the tissues. By irradiating the eyelid in the presence of a photosensitizer, photochemical crosslinking of tarsal collagen is induced, leading to its mechanical reinforcement, thus preventing further laxity increase. Here, we investigated potential radiation-induced damage to the target tissues. Ex vivo specimens of ovine tarsal plates were irradiated trans-conjunctivally with UV-A radiation (365 nm) in the presence of riboflavin at increasing irradiances. The specimens were processed histologically and analyzed. Except for episodic minor conjunctival epithelial damage, there was no evidence of injury to resident cells, connective tissue, meibomian glands, or muscles. Based on in vitro histological analysis, the study demonstrated negligible tissue damage induced by irradiation with UV-A, thereby suggesting the crosslinking of tarsal collagen as a possible therapeutic approach for treating eyelid laxity.