98%
921
2 minutes
20
Tissue engineering applications demand 3D, non-invasive, and longitudinal assessment of bioprinted constructs. Current emphasis is on developing tissue constructs mimicking conditions; however, these are increasingly challenging to image as they are typically a few millimeters thick and turbid, limiting the usefulness of classical fluorescence microscopic techniques. For such applications, we developed a Mesoscopic Fluorescence Molecular Tomography methodology that collects high information content data to enable high-resolution tomographic reconstruction of fluorescence biomarkers at millimeters depths. This imaging approach is based on an inverse problem; hence, its imaging performances are dependent on critical technical considerations including optode sampling, forward model design and inverse solver parameters. Herein, we investigate the impact of the optical system configuration parameters, including detector layout, number of detectors, combination of detector and source numbers, and scanning mode with uncoupled or coupled source and detector array, on the 3D imaging performances. Our results establish that an MFMT system with a 2D detection chain implemented in a de-scanned mode provides the optimal imaging reconstruction performances.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865091 | PMC |
http://dx.doi.org/10.1364/BOE.10.005660 | DOI Listing |
Beilstein J Org Chem
August 2025
China Construction Industrial & Energy Engineering Group Huanghe Construction Co., Ltd., 7 Yandong Xinlu, Lixia District, Jinan 250000, P. R. China.
Flow chemistry technology has demonstrated significant potential in advancing the green transformation of the chemical industry while enhancing inherent process safety. Safety, cost-effectiveness, and operational efficiency serve as pivotal drivers for advancing flow chemistry in nitration processes. This review provides a comprehensive analysis of the continuous-flow nitration technology - a process historically recognized as one of the most hazardous industrial operations - focusing on its technological advancements in process design, reaction kinetics characterization, and practical implementation over the past decade.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Department of Pharmacy, University of Pisa, 56126 Pisa, Italy.
Medical devices for tricuspid regurgitation have emerged as viable treatment options for patients who do not respond to drug therapy or who are unsuitable for open-heart surgery due to high surgical risk. Recently, numerous new medical devices have been proposed and approved for use. Therefore, comprehensive reviews of the literature on the current medical devices for tricuspid regurgitation are necessary.
View Article and Find Full Text PDFChem Sci
September 2025
College of Chemistry and Materials Engineering, Wenzhou University Wenzhou Zhejiang 325035 P. R. China
Sodium-ion batteries (SIBs) are promising alternatives to lithium-ion batteries (LIBs) owing to abundant resources and cost-effectiveness. However, cathode materials face persistent challenges in structural stability, ion kinetics, and cycle life. This review highlights the transformative potential of high-entropy (HE) strategies that leveraging multi-principal element synergies to address these limitations entropy-driven mechanisms.
View Article and Find Full Text PDFPatterns (N Y)
July 2025
Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands.
ASReview LAB v.2 introduces an advancement in AI-assisted systematic reviewing by enabling collaborative screening with multiple experts ("a crowd of oracles") using a shared AI model. The platform supports multiple AI agents within the same project, allowing users to switch between fast general-purpose models and domain-specific, semantic, or multilingual transformer models.
View Article and Find Full Text PDFFront Neural Circuits
September 2025
Faculty of Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan.
Neuronal networks in animal brains are considered to realize specific filter functions through the precise configuration of synaptic weights, which are autonomously regulated without external supervision. In this study, we employ a single Hodgkin-Huxley-type neuron with autapses as a minimum model to computationally investigate how spike-timing-dependent plasticity (STDP) adjusts synaptic weights through recurrent feedback. The results show that the weights undergo oscillatory potentiation or depression with respect to autaptic delay and high-frequency stimulation.
View Article and Find Full Text PDF