Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Effect of external magnetic and electric fields on blood flow and drug transport in a cardiovascular tube. [PDF]
Teferi BZ.
europepmc +1 more source
On Decompositions of Lorentz Transformations and their Physical Interpretations [PDF]
Chandru Iyer
openalex +1 more source
Engineering Topological Phases with a Traveling‐Wave Spacetime Modulation
Time‐varying systems have garnered considerable attention due to their unique potential in manipulating electromagnetic waves. Here, a novel class of topological spacetime crystals with a traveling‐wave modulation is introduced. By manipulating material anisotropy, one can engineer light angular momentum and non‐trivial topological phases characterized
João C. Serra, Mário G. Silveirinha
wiley +1 more source
Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS. [PDF]
Nazari A +5 more
europepmc +1 more source
Abstract This paper is devoted to the approximation of two‐ and three‐dimensional Dirac operators HV∼δΣ$H_{\widetilde{V} \delta _\Sigma }$ with combinations of electrostatic and Lorentz scalar δ$\delta$‐shell interactions in the norm resolvent sense. Relying on results from Behrndt, Holzmann, and Stelzer‐Landauer [Math. Nachr.
Jussi Behrndt +2 more
wiley +1 more source
Highly Sensitive Measurement of the Refractive Index of Mesoporous Hollow Silica Microcapsules Using Whispering Gallery Mode Resonances. [PDF]
Xu Q +5 more
europepmc +1 more source
Predicting Infrared Optical Properties of Materials Using Machine Learning Interatomic Potentials
This work proposes a new fast computing framework for infrared reflectance spectra, MTP‐FIRE, based on machine learning potential, which can achieve the same accuracy as the existing first‐principles calculation, but can be two orders of magnitude faster on average.
Lianduan Zeng +8 more
wiley +1 more source
Electroosmotic flow of Jeffrey ternary hybrid nanofluids in converging-diverging ciliary microvessels. [PDF]
Obalalu AM +4 more
europepmc +1 more source

