Results 211 to 220 of about 238,428 (248)

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park   +4 more
wiley   +1 more source

Overcoming a false-positive mechanism in RapidFire MRM-based high throughput screening. [PDF]

open access: yesSLAS Discov
Lin   +7 more
europepmc   +1 more source

Development and validation of high resolution melting assays for high-throughput screening of BDNF rs6265 and DAT1 rs40184 [PDF]

open access: green, 2018
Asraa Faris   +10 more
openalex  

Laser‐Microscribed Glass Enables Surface‐Microfluidics‐Facilitated, Affordable, Rapid Cancer Diagnosis

open access: yesAdvanced Functional Materials, EarlyView.
A transparent, laser‐microscribed glass platform enables cancer diagnosis within 1 h—much faster than histology, which takes days, and free from the chemical or contrast risks of MRI or CT scans. The antibody‐functionalized rough glass surface captures viable cancer cells directly from suspension, allowing instant optical readout and offering a rapid ...
Anish Pal   +5 more
wiley   +1 more source

High-throughput screening identifies the activity of histone deacetylase inhibitors in patient-derived models of soft tissue sarcoma. [PDF]

open access: yesCancer Biol Ther
Danks MR   +15 more
europepmc   +1 more source

High-throughput drug screening using a library of antibiotics targeting cancer cell lines that are resistant and sensitive to gemcitabine

open access: hybrid
J.A. Kim   +8 more
openalex   +1 more source

Droplet-microarray on superhydrophobic–superhydrophilic patterns for high-throughput live cell screenings

open access: green, 2016
Anna A. Popova   +4 more
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

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