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| http://dx.doi.org/10.4103/0970-0358.182231 | DOI Listing |
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Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.
Curr Eye Res
January 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
Purpose: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Methods: The retinal layer thickness data obtained from C57BL/6 and DBA/2J mice were processed for machine learning after segmenting mouse retinal SD-OCT scans. Twenty-two models were trained to predict the mouse groups.
Direct Synthesis of Hydrogen-Substituted Graphdiyne on Fluorine-Doped Tin Oxide Glass Substrates Using a Cu Sandwich Technique.
Langmuir
January 2025
Surface Science Laboratory, Graduate School of Engineering, Toyota Technological Institute, 2-12-1, Hisakata, Tempaku, Nagoya, Aichi 468-8511, Japan.
Hydrogen-substituted graphdiyne (HsGDY) is a two-dimensional material with an sp-sp carbon skeleton featuring a band gap and a porous structure that enhances ion diffusion. In previous reports, HsGDY growth was limited to metal substrates such as Cu, which then required transfer. Here, we developed a sandwich method that allows HsGDY to be grown directly on the target substrate.
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Department of Chemistry - Biomedical Center, Analytical Chemistry and Neurochemistry, Uppsala University, Uppsala, Sweden.
Free fatty acids (FFAs) are important energy sources and significant for energy transport in the body. They also play a crucial role in cellular oxidative stress responses, following cell membrane depolarization, making accurate quantification of FFAs essential. This study presents a novel supercritical fluid chromatography-mass spectrometry (SFC-MS) method using selected ion recording in negative electrospray ionization mode, enabling rapid quantification of 31 FFAs within 6 min without derivatization.
View Article and Find Full Text PDFA proof-of-concept study for precise mapping of pigmented basal cell carcinoma in asian skin using multispectral optoacoustic tomography imaging with level set segmentation.
Eur J Nucl Med Mol Imaging
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View Article and Find Full Text PDFSwin-transformer for weak feature matching.
Sci Rep
January 2025
Department of Computer Science and Technology, Qilu University of Technology, No. 3501 Daxue Road, Jinan, 250300, Shandong, China.
Feature matching in computer vision is crucial but challenging in weakly textured scenes due to the lack of pattern repetition. We introduce the SwinMatcher feature matching method, aimed at addressing the issues of low matching quantity and poor matching precision in weakly textured scenes. Given the inherently significant local characteristics of image features, we employ a local self-attention mechanism to learn from weakly textured areas, maximally preserving the features of weak textures.
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