Article
Multidisciplinary Sciences
Ana I. Fernandez-Marino, Xiao-Feng Tan, Chanhyung Bae, Kate Huffer, Jiansen Jiang, Kenton J. Swartz
Summary: The study reveals the structure and functional mechanisms of the Kv2.1 voltage-activated potassium channel, providing insights into how mutations affect channel activity. Inactivation in Kv2.1 is found to be caused by dynamic alterations in electromechanical coupling, which suggests a conserved mechanism in voltage-activated cation channels and its relevance for regulating neuron firing.
Article
Multidisciplinary Sciences
Max Karlsson, Cheng Zhang, Loren Mear, Wen Zhong, Andreas Digre, Borbala Katona, Evelina Sjoestedt, Lynn Butler, Jacob Odeberg, Philip Dusart, Fredrik Edfors, Per Oksvold, Kalle von Feilitzen, Martin Zwahlen, Muhammad Arif, Ozlem Altay, Xiangyu Li, Mehmet Ozcan, Adil Mardonoglu, Linn Fagerberg, Jan Mulder, Yonglun Luo, Fredrik Ponten, Mathias Uhlen, Cecilia Lindskog
Summary: Advances in molecular profiling have enabled the creation of high-resolution single-cell type maps of human tissues, combining single-cell transcriptomics analysis with spatial antibody-based protein profiling. This technology allows researchers to explore the expression of human protein-coding genes and determine the number of elevated genes in different cell types, facilitating comparisons with bulk transcriptomics data. The analysis reveals distinct expression clusters corresponding to cell types with similar functions within and between organs.
Article
Computer Science, Information Systems
Chuan Li, Changjiu Yuan, Hongbo Pan, Yue Yang, Ziyan Wang, Hao Zhou, Hailing Xiong
Summary: This paper presents a single-image dehazing method based on an improved bright prior and dark channel prior. It first uses the Otsu method to divide the hazy image into sky regions and non-sky regions. Then, it estimates the parameters in the physical model using the improved bright channel prior and dark channel prior. Finally, the clear image is restored through the physical model. Experimental results show that the method can effectively solve the invalidation problem of the dark channel prior in the sky region and achieve high-quality image restoration.
Article
Biophysics
Rebecka J. Sepela, Robert G. Stewart, Luis A. Valencia, Parashar Thapa, Zeming Wang, Bruce E. Cohen, Jon T. Sack
Summary: In this study, we found that AMIGO1 modulates the conductance activation pathway of Kv2.1 channels. AMIGO1 accelerates the movement of voltage sensors and shifts the gating charge-voltage relationship. When voltage sensors are detained by toxins, AMIGO1 has a greater impact on the conductance-voltage relationship. AMIGO1 destabilizes the earliest resting state of the voltage sensors.
BIOPHYSICAL JOURNAL
(2022)
Article
Biochemical Research Methods
Renmin Han, Guojun Li, Xin Gao
Summary: This article presents a two-stage fiducial marker correspondence algorithm that successfully addresses the high error rates and poor performance of existing methods when the number of fiducial markers is high. Comprehensive experiments on real-world datasets demonstrate the robustness, efficiency, and effectiveness of the proposed algorithm, which is able to accurately process a large number of fiducial markers in real-time electron tomography data processing.
Article
Computer Science, Software Engineering
Zhenjie Yang, Beijia Chen, Youyi Zheng, Xiang Chen, Kun Zhou
Summary: This method presents a semi-automatic approach to produce human bas-relief from a single photograph. By estimating 3D skeletons and aligning the guide model with image contours, it generates realistic results.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Environmental Sciences
A. J. Chadwick, E. Steel, P. Passalacqua, C. Paola
Summary: Successful management of flooding and erosion hazards depends on predicting river channel shape and flow duration. Unlike single-thread channels, braided channels do not exhibit a balance between bank erosion and accretion, causing individual threads to widen and infill until they are abandoned. Threshold channel theory accurately predicts thread width.
WATER RESOURCES RESEARCH
(2022)
Article
Optics
Ye Tian, Ying Fu, Jun Zhang
Summary: In this paper, we propose an effective method based on channel attention convolutional neural network for under-sampled single-pixel imaging (SPI) to reconstruct high-quality object images directly from SPI measurements. The method takes advantage of unsupervised deep learning and effectively avoids over-fitting problem using SPI model constraint and total variation regularization. Extensive experimental results on simulation and real data demonstrate that the proposed method has superior performance in image quality, noise robustness, and generalization compared with the state-of-the-art SPI methods.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Optics
Cesar Arturo Hernandez-Alvarez, Lipei Song, Yufei Wang, Teresa Alonso-Rasgado, Lei Su
Summary: In this paper, a Particle Swarm Optimization algorithm is proposed to find the optimal parameters for object image reconstruction behind a scattering medium. This eliminates the need for prior knowledge of the imaging object. By using these optimal parameters, the Phase Retrieval algorithm can converge faster and avoid running the algorithm multiple times for the best reconstruction.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Engineering, Marine
G. Jacobi, C. H. Thill, R. H. M. Huijsmans
Summary: This paper presents the use of particle image velocimetry to measure the velocity and hydrodynamic pressure of fast ships. The results show that the method is capable of capturing the flow characteristics in the bow region and obtaining the hydrodynamic pressure field. However, large out-of-plane velocities can limit the resolution of local effects near the ship hull.
Article
Computer Science, Information Systems
Leyuan Liu, Yunqi Gao, Jianchi Sun, Jingying Chen
Summary: This paper proposes a method for reconstructing clothed 3D human models from a single image using a well-aligned parametric body model. A two-stage method is proposed to estimate pose and shape parameters iteratively. A deep neural network is employed to fuse 3D geometry information and visual features for reconstructing clothed 3D human models.
MULTIMEDIA SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Teun A. P. M. Huijben, Hamidreza Heydarian, Alexander Auer, Florian Schueder, Ralf Jungmann, Sjoerd Stallinga, Bernd Rieger
Summary: Particle fusion in single molecule localization microscopy can improve signal-to-noise ratio, but is limited by structural heterogeneity. The authors demonstrate an unsupervised classification method that can differentiate structurally different DNA origami structures without prior knowledge.
NATURE COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu
Summary: In this paper, the authors propose a feature-enhanced denoising network (FEDNet) by combining CNN architectures with Transformers. They utilize an effective cross-channel attention and incorporate Transformer blocks into minimum-scale layers to improve image denoising performance. Experimental results show that the model achieves state-of-the-art denoising performance at low computational costs.
Article
Computer Science, Artificial Intelligence
Pulkit Dwivedi, Soumendu Chakraborty
Summary: Image dehazing is an important technique that aims to remove haze from atmospheric conditions to improve the visual quality of images. The dark channel prior methodology has been recognized as an effective approach, but it has limitations in accurately removing haze due to its reliance on a single color channel. To overcome this limitation, we propose a method that computes the dark channel from all three channels of an image, resulting in better performance on synthetic and real-world hazy images.
IMAGE AND VISION COMPUTING
(2023)
Correction
Computer Science, Interdisciplinary Applications
Fabian Mohn, Tobias Knopp, Marija Boberg, Florian Thieben, Patryk Szwargulski, Matthias Graeser
Summary: There is an error in the article regarding the unit of the added noise level.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)