Results 121 to 130 of about 3,893 (298)

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function

, 2018
Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot   +4 more
openalex   +2 more sources

A reproducing kernel space model for 𝐍_{𝜅}-functions [PDF]

, 2003
Vladimir Derkach, Seppo Hassi
openalex   +1 more source

Early Detection of Cell Death Using Transmembrane Water Exchange Magnetic Resonance Imaging

Advanced Science, EarlyView.
Cell death is important in both the development and treatment of cancer. In this study, it is demonstrated for the first time that a specific measurement of the transmembrane water exchange rate using magnetic resonance imaging can be used as an early marker of cell death in mammalian cells, in animals and in human patients. Abstract Cell death plays a
Athanasia Kaika, Luca Nagel, Ulrike Höckendorf, Bangwen Xie, Geoffrey J. Topping, Mathias Schillmaier, Irina Beer, Frits H. A. van Heijster, Julian Rauch, Tristan A. Kuder, Sandra Sühnel, Bernd Erber, Christian Lohrmann, Simone Ballke, Thomas Metzler, Katja Steiger, Philipp J. Jost, Natalia P. Ivleva, Philipp Paprottka, Jonathan Nadjiri, Kevin M. Brindle, Wolfgang A. Weber, Franz Schilling   +22 more
wiley   +1 more source

Reproducing kernels for holomorphic functions on some balls related to the Lie ball [PDF]

, 2007
Keiko Fujita
openalex   +1 more source

Antenna Synthesis by Levin’s Method using Reproducing Kernel Functions

, 2023
Goker Sener
openalex   +2 more sources

Initial Distance‐Dependent Mean Force Drives Synaptic Vesicle Motion Toward Fusion Sites in Stimulated Hippocampal Neurons

Advanced Science, EarlyView.
Synaptic vesicle (SV) motion and exocytosis dynamics in the presynaptic terminals of live neurons are intimately linked to synaptic transmission during neuronal activity. In this work, it is revealed that, during electrical stimulation, SVs located farther from their fusion sites exhibit greater straightness and experience larger mean forces directed ...
Gyunam Park, Ji‐Hyun Kim, Hunki Lee, Chungwon Park, Sidong Chen, Luke Bates, Jaeyoung Sung, Hyokeun Park   +7 more
wiley   +1 more source

The numerical analysis of viscoelastic problems in signal propagation using a novel meshless Hermit-type RRKPM

Results in Physics
Since meshless reproducing kernel particle method (RKPM) is easily affected by different kernel functions in numerical accuracy and stability, the Hermit-type function is introduced to the construction of trial function on boundary nodes.
Jichao Ma, Xin Tai
doaj   +1 more source

Reproducing Kernels and Principal Functions [PDF]

Proceedings of the American Mathematical Society, 1962
openaire   +1 more source

Single‐Target Pairing System (StarPair) for Large‐Scale Interrogation of Cell–Cell Interactions

Advanced Science, EarlyView.
This work presents a single‐target pairing system, StarPair, enabling cell–cell interaction studies by target combination in droplets. StarPair offers superior pairing efficiencies over 95% and operation frequencies of 105 pairs per 9.5 h for two‐target pairing, allowing large‐scale interrogation of immune cell‐cancer cell interactions and precise ...
Tianjiao Mao, Lang Nan, Miao Xu, Kehao Zeng, Yuchao Wang, Ziyu Han, Ho Cheung Shum   +6 more
wiley   +1 more source