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Luminescent organic-inorganic low-dimensional ns metal halides are of rising interest as thermographic phosphors. The intrinsic nature of the excitonic self-trapping provides for reliable temperature sensing due to the existence of a temperature range, typically 50-100 K wide, in which the luminescence lifetimes (and quantum yields) are steeply temperature-dependent. This sensitivity range can be adjusted from cryogenic temperatures to above room temperature by structural engineering, thus enabling diverse thermometric and thermographic applications ranging from protein crystallography to diagnostics in microelectronics. Owing to the stable oxidation state of Sb , Sb(III)-based halides are far more attractive than all major non-heavy-metal alternatives (Sn-, Ge-, Bi-based halides). In this work, the relationship between the luminescence characteristics and crystal structure and microstructure of TPP SbBr (TPP = tetraphenylphosphonium) is established, and then its potential is showcased as environmentally stable and robust phosphor for remote thermography. The material is easily processable into thin films, which is highly beneficial for high-spatial-resolution remote thermography. In particular, a compelling combination of high spatial resolution (1 µm) and high thermometric precision (high specific sensitivities of 0.03-0.04 K ) is demonstrated by fluorescence-lifetime imaging of a heated resistive pattern on a flat substrate, covered with a solution-spun film of TPP SbBr .
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http://dx.doi.org/10.1002/adma.202007355 | DOI Listing |
Diabetes Res Clin Pract
August 2025
Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan. Electronic address:
Artificial intelligence (AI) enhances thermal image analysis by providing advanced pattern recognition and improving the accuracy of diabetic foot condition detection. AI-driven thermography systems support clinicians, but research on AI for diabetic foot thermography is fragmented, with diverse algorithms and existing reviews focusing mainly on statistical performance. This review aimed to provide a comprehensive review of AI-based diabetic foot thermography, with a focus on condition detection, performance metrics, clinical implications, and existing research gaps.
View Article and Find Full Text PDFRev Sci Instrum
August 2025
National Institutes for Quantum Science and Technology, Naka, Ibaraki, Japan.
An active alignment method to compensate for optical axis misalignment between the in-vessel and ex-vessel optics caused by thermal expansion of the vacuum vessel during plasma operation was developed in this study. By observing the return light from an alignment pattern at the vacuum window and a calibration light source positioned at the first pupil plane inside the vacuum vessel, subsequent optical axis alignment during plasma operation can be conducted using only the return light from the alignment pattern. Testing with a prototype demonstrated that the developed alignment method can align the optical axis remotely and actively with accuracies of less than 0.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
August 2025
State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Fiber Laser Materials and Applied Techniques, School of Physics and Optoelectronics, South China University of Technology, Guangzhou, 510641, China.
Low dimensional hybrid metal halides as a chemically tunable platform achieve multi-functional optical applications with versatile luminescence mechanisms. Herein, we design and prepare Cu(I)-based hybrid halide (DMAP)CuI (DMAP = 4-Dimethylaminopyridine), with ambient temperature-induced photoluminescence evolution from red to near-infrared emissions. The in situ variable-temperature crystallographic study reveals lattice distortion with more disordered [CuI] units appear at high temperature, further indicating that the observed wavelength-tunable emission is attributed to transitions from Cu cluster center to halogen-to-metal charge transfer.
View Article and Find Full Text PDFAnimals (Basel)
April 2025
Department of Veterinary Science, Tokyo University of Agriculture and Technology, Tokyo 183-8509, Japan.
Remote vital sensing in veterinary medicine is a relatively new area of practice, which involves the acquisition of data without invasion of the body cavities of live animals. This paper aims to review several technologies in remote vital sensing: infrared thermography, remote photoplethysmography (rPPG), radar, wearable sensors, and computer vision and machine learning. In each of these technologies, we outline its concepts, uses, strengths, and limitations in multiple animal species, and its potential to reshape health surveillance, welfare evaluation, and clinical medicine in animals.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: Diabetic foot (DF) is one of the most common and serious complications of diabetes. Effective self-management by patients can delay disease progression and improve quality of life. Digital intelligent technologies have emerged as advantageous in assisting patients with chronic diseases in self-management.
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