The paper proposes to use combinations of two algorithms for the on-line prediction of the termination times of layer depositions in the case of complex optical coatings with large numbers of layers with significantly different layer thicknesses. Notch filters with very thin and thick coating layers are considered as examples of coatings where such combinations of algorithms can be useful. Computational manufacturing experiments are used to estimate expected levels of thickness errors and the strength of the error self-compensation effect for various notch filter designs. It is shown that the estimates obtained can be used to select the optimal combination of the considered algorithms.
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http://dx.doi.org/10.1364/AO.501489 | DOI Listing |
Lab Chip
January 2025
Nanobioelectronics Laboratory (NBEL), Department of Biomedical Engineering, Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, 8410501 Beer Sheva, Israel.
Dissolved oxygen is crucial for metabolism, growth, and other complex physiological and pathological processes; however, standard physiological models (such as organ-on-chip systems) often use ambient oxygen levels, which do not reflect the lower levels that are typically found . Additionally, the local generation of reactive oxygen species (ROS; a key factor in physiological systems) is often overlooked in biology-mimicking models. Here, we present a microfluidic system that integrates electrochemical dissolved oxygen sensors with lab-on-a-chip technology to monitor the physiological oxygen concentrations and generate hydrogen peroxide (HO; a specific ROS).
View Article and Find Full Text PDFInorg Chem
January 2025
NIMS-CNRS-Saint-Gobain International Collaboration Center, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan.
In this study, we investigate structural disorder and its implications in metal cluster (MC)-based compounds, specifically focusing on Cs[{MoX}X] (X = Cl and Br). Utilizing synchrotron radiation X-ray diffraction, Fourier transform infrared spectroscopy, and luminescence measurements, we examined the incorporation of water molecules into these compounds and their effects on the crystal structure and optical properties. Our findings reveal that the presence of water molecules induces the lattice disorder, particularly the displacement of Cs atoms.
View Article and Find Full Text PDFAdv Mater
January 2025
Shandong Provincial Key Laboratory for Science of Material Creation and Energy Conversion, Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, 266237, P. R. China.
The long exciton diffusion length (L) plays an important role in promoting exciton dissociation, suppressing charge recombination, and improving the charge transport process, thereby improving the performance of organic solar cells (OSCs), especially in thick-film OSCs. However, the limited L hinders further improvement in device performance as the film thickness increases. Here, an organic-metal platinum complex, namely TTz-Pt, is synthesized and served as a solid additive into the D18-Cl:L8-BO system.
View Article and Find Full Text PDFBMC Ophthalmol
January 2025
Department of Tuberculosis, New District Branch of Northern Jiangsu People's Hospital of Jiangsu Province, Yangzhou, 225001, Jiangsu Province, China.
Background: This study aims to detect Mycobacterium tuberculosis complex (MTBC) DNA in intraocular fluid from clinically suspected tuberculous uveitis patients using multiplex polymerase chain reaction (PCR) and investigate the diagnostic utility of multiplex PCR for tuberculous uveitis.
Methods: Primers targeting three specific genes (MPB64, CYP141, and IS6110) within the MTBC genome were designed. Multiplex PCR was conducted using DNA from the H37Rv strain as well as DNA extracted from fluids of confirmed tuberculosis patients to assess primer specificity and method feasibility.
Sci Rep
January 2025
Faculty of Electronic Information and Physics, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Accurate segmentation of retinal blood vessels from retinal images is crucial for detecting and diagnosing a wide range of ophthalmic diseases. Our retinal blood vessel segmentation algorithm enhances microfine vessel extraction, improves edge texture clarity, and normalizes vessel distribution. It stabilizes neural network training for complex retinal vascular features.
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