Results 151 to 160 of about 1,649,141 (165)
Correlative super‐resolution optical imaging of the ultrastructure of rat liver sinusoidal endothelial cells (LSECs) across a large field of view (FOV) with 3D structured illumination microscopy (3D‐SIM) and single‐molecule localization microscopy (SMLM), facilitated by a transparent polymer photonic waveguide chip, is presented.
Surjendu Bikash Dutta+9 more
wiley +1 more source
Machine Learning Enabled LED Lighting Using Scattering Optics
The light spatial distribution (brightness pattern) of a white LED is usually controlled by specially designed lenses and mirrors but not demonstrated using scattering optics (e.g., optical diffusers). It is generally believed that lack of control in transferring light in space makes optical diffusers impossible to focus light onto desired directions ...
Gangyi Li+3 more
wiley +1 more source
Sufficient statistics in the optimum control of stochastic systems
Charlotte Striebel
openalex +1 more source
Monolithic Integration of Sub‐50 nm III–V Nano‐Heterostructures on Si (001) for Telecom Photonics
The monolithic integration of III‐V nano‐heterostructures on silicon via selective area epitaxy with dimensions down to 20 nm is demonstrated. The arsenic diffusion mechanism is employed to enable efficient light emission at the telecom wavelength range.
Alisha Nanwani+7 more
wiley +1 more source
The diagonal equivalence of a nonnegative matrix to a stochastic matrix
Richard A. Brualdi+2 more
openalex +1 more source
Self‐Assembled Physical Unclonable Function Labels Based on Plasmonic Coupling
This article introduces advanced anti‐counterfeit labels crafted through DNA‐guided self‐assembly of plasmonic nanoparticles. Utilizing nanosphere lithography for dense and precise nanoparticle placement, these labels feature unique, unclonable optical signatures achieved through plasmonic coupling, detectable by an economical 3D‐printed dark field ...
Mihir Dass+9 more
wiley +1 more source
Multiple incoherent nonlinear deconvolutions (MIND) has extended dimension for optimization that provides a better solution than Wiener deconvolution and nonlinear reconstruction. MIND minimizes deconvolution noise by averaging over multiple deconvolutions each with different system aperture that effectively enhances the resolution.
Jawahar Prabhakar Desai+2 more
wiley +1 more source
Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network
A phase‐change‐material‐based digitized heterostack is experimentally demonstrated and theoretically analyzed for future energy‐efficient, fast reconfigured, and compact transmissive diffractive optical neural networks. All‐optical and fully reconfigurable transmissive diffractive optical neural network (DONN) architectures emerge as high‐throughput ...
Ruiyang Chen+3 more
wiley +1 more source
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu+5 more
wiley +1 more source
Scintillation Response of 0D Cs3Cu2I5 Thin Layers to Light‐ and Heavy‐Ion Irradiation
Driven by increasing interest in uncovering the remarkable photoluminescence quantum yield of Cs3Cu2I5, polycrystalline thin layers are synthesized to investigate its radioluminescence response to energetic ions. Its spectroscopic capability is assessed in a wide range of ion mass and internal excitation processes are explored.
Mátyás Hunyadi+6 more
wiley +1 more source