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In vivo access to molecular information of retinal tissue is considered to play a critical role in enabling early diagnosis of ophthalmic and neurodegenerative diseases. The current gold standard of retina imaging, optical coherence tomography and angiography provides only the retinal morphology and blood perfusion, missing the full spectrum of molecular information. Raman spectroscopy addresses this gap while keeping the investigation non-invasive and label-free. Although previous studies have demonstrated the huge diagnostic potential of combining both modalities for in vivo biological tissue measurement, some have either employed unsafe optical power levels for in vivo retinal measurements or presented results that were negative or contradictory. In this study, we have developed an eye-safe multimodal in vivo label-free imaging system and demonstrate the potential of this device by investigating the retina of a living albino rat. The acquired Raman spectra showed relevant Raman bands in comparison with the previous ex vivo studies. Using this multimodal imaging system for non-invasive retina measurements of transgenic rodents holds the potential to advance the understanding of the pathophysiology of both ophthalmic and neurodegenerative diseases.
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http://dx.doi.org/10.1364/BOE.541315 | DOI Listing |
J Sep Sci
September 2025
Department of Analytical Chemistry, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic.
The increasing use of engineered nanoparticles (NPs) in consumer and biomedical products has raised concern over their potential accumulation, transformation, and toxicity in biological systems. Accurate analytical methods are essential to detect, characterize, and quantify NPs in complex biological matrices. Inductively coupled plasma mass spectrometry (ICP-MS) has emerged as a leading technique due to its high sensitivity, elemental selectivity, and quantitative capabilities.
View Article and Find Full Text PDFBMC Nurs
September 2025
Institute of Business Administration and Business Informatics, IT for the Caring Society, University of Hildesheim, Hildesheim, Germany.
Background: As populations age, informal caregivers play an increasingly vital role in long-term care, with 80% of care provided by family members in Europe. However, many individuals do not immediately recognize themselves as caregivers, especially in the early stages. This lack of awareness can increase physical and emotional stress and delay access to support services.
View Article and Find Full Text PDFClin Rheumatol
September 2025
Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55906, USA.
Objectives: IgG4-related disease (IgG4-RD) can affect multiple organ systems, with coronary artery involvement being rare. Coronary periarteritis may lead to complications such as myocardial infarction and ischemic cardiomyopathy. This case series characterizes the clinical and radiological features, complications, and treatment strategies in patients with IgG4-RD-associated coronary periarteritis.
View Article and Find Full Text PDFMAGMA
September 2025
Department of Medical Imaging, (766), Radboud University Medical Center, Geert Grooteplein 10Radboudumc, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands.
Objective: To improve B field homogeneity in prostate MR imaging and spectroscopy using a custom-designed 16-channel external local shim coil array.
Methods: In vivo prostate imaging was performed in seven healthy volunteers (mean age: 40.7 years) without bowel preparation.
J Imaging Inform Med
September 2025
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.
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