The fertilization process is impaired when spermatozoa are previously incubated with Cytochalasin-D (Cyt-D). Although this fact reveals the participation of polymerized actin in fertilization, the specific event obstructed by Cyt-D treatment has not been determined. To identify this event, we capacitated guinea pig spermatozoa in minimal capacitating medium with pyruvate and lactate (MCM-PL) with Cyt-D, to inseminate hamster zona pellucida (ZP)-free eggs. Cyt-D (70 microM) decreased F-actin relative concentration in capacitated spermatozoa to a larger extent than in spermatozoa incubated under control conditions. Cyt-D also cancelled the F-actin increase normally observed in acrosome-reacted cells, and decreased the number of these cells with normal F-actin localization at the equatorial zone. Insemination of eggs with Cyt-D treated spermatozoa did not change early fertilization events such as the egg cortical reaction (CR), membranes fusion, and egg F-actin new localization, but clearly retarded, by 16 hr, spermatozoa incorporation deep into the egg cytoplasm, and decondensation of egg metaphase II chromosomes. These results show that actin polymerization is necessary for spermatozoa incorporation deep into the egg cytoplasm, but not for plasma membrane fusion nor egg activation early steps.
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http://dx.doi.org/10.1002/mrd.10203 | DOI Listing |
Tomography
November 2024
KYAMOS Ltd., 37 Polyneikis Street, Strovolos, Nicosia 2047, Cyprus.
: Accurate reconstruction of internal temperature fields from surface temperature data is critical for applications such as non-invasive thermal imaging, particularly in scenarios involving small temperature gradients, like those in the human body. : In this study, we employed 3D convolutional neural networks (CNNs) to predict internal temperature fields. The network's performance was evaluated under both ideal and non-ideal conditions, incorporating noise and background temperature variations.
View Article and Find Full Text PDFTomography
November 2024
Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong 999077.
Assessment of skeletal maturity is a common clinical practice to investigate adolescent growth and endocrine disorders. The distal radius and ulna (DRU) maturity classification is a practical and easy-to-use scheme that was designed for adolescent idiopathic scoliosis clinical management and presents high sensitivity in predicting the growth peak and cessation among adolescents. However, time-consuming and error-prone manual assessment limits DRU in clinical application.
View Article and Find Full Text PDFJ Imaging
December 2024
School of Innovation, Design and Technology (IDT), Mälardalen University, 72123 Västerås, Sweden.
As the demand for autonomous driving (AD) systems has increased, the enhancement of their safety has become critically important. A fundamental capability of AD systems is object detection and trajectory forecasting of vehicles and pedestrians around the ego-vehicle, which is essential for preventing potential collisions. This study introduces the Deep learning-based Acceleration-aware Trajectory forecasting (DAT) model, a deep learning-based approach for object detection and trajectory forecasting, utilizing raw sensor measurements.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.
Objective: We previously developed artificial intelligence (AI) diagnosis algorithms for predicting the six classes of stomach lesions. However, this required significant computational resources. The incorporation of AI into medical devices has evolved from centralized models to decentralized edge computing devices.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
School of Computer Information and Engineering, Nanchang Institute of Technology, Nanchang 330044, China.
Image super-resolution (SR) is a formidable challenge due to the intricacies of the underwater environment such as light absorption, scattering, and color distortion. Plenty of deep learning methods have provided a substantial performance boost for SR. Nevertheless, these methods are not only computationally expensive but also often lack flexibility in adapting to severely degraded image statistics.
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