Results 221 to 230 of about 1,689,718 (367)
DGGNets: Deep Gradient-Guidance Networks for Speckle Noise Reduction [PDF]
Li Wang +4 more
openalex +1 more source
This study establishes an electric field‐induced directional migration model using fluorescence tension probes to visualize microfilament forces and intracellular osmotic pressure dynamics in the electrotactic migration of breast cancer cells. This model delineates how electromechanical interactions among membrane potential, ion channels, OP, traction ...
Ling Zhu +10 more
wiley +1 more source
This study introduces a versatile platform for quantifying three dimensional traction forces at bio‐adhesive interfaces. Integrating in situ stereo‐digital image correlation with finite element simulations allows for precise measurement of microscale displacements and traction forces in both dry and wet conditions.
Yingwei Hou, Fusheng Wang, Tao Liu
wiley +1 more source
Decorrelation-induced speckle phase noise in two-wavelength digital holographic profilometry
Matthieu Piniard +3 more
openalex +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
New powerful Numerical Retracker solution accounting for speckle noise statistics
Poisson, Jean-Christophe +5 more
openalex +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Effect of Speckle Noise for Detection of Damaged Building Area Using SAR Intensity Images.
M. Matsuoka, Fumio Yamazaki
openalex +2 more sources

