Results 31 to 40 of about 19,664 (279)

A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions [PDF]

Atmospheric Chemistry and Physics, 2013
Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm was developed for the MODerate Resolution Imaging Spectroradiometer (MODIS), which provides aerosol optical depth (AOD) at 1 km resolution.
A. Chudnovsky, C. Tang, A. Lyapustin, Y. Wang, J. Schwartz, P. Koutrakis   +5 more
doaj   +1 more source

Optical proximity correction using bidirectional recurrent neural network (BRNN)

, 2019
Machine learning (ML) techniques have been applied for quick optical proximity correction (OPC) processing. A key limitation of previous ML-OPC approaches lies in the fact that a layout segment is corrected while the correction result for other segments ...
Youngsoo Shin, Song, Youngsoo, Yonghwi Kwon, Kwon, Yonghwi, Youngsoo Song, Shin, Youngsoo   +5 more
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Curvilinear Sub-Resolution Assist Feature Placement Through a Data-Driven U-Net Model

Micromachines
In advanced semiconductor manufacturing, computational lithography, particularly sub-resolution assist features (SRAFs), is crucial for enhancing the process window.
Jiale Liu, Wenjing He, Wenhao Ding, Yuhang Wang, Yijiang Shen   +4 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Inverse Reticle Optimization With Quantum Annealing and Hybrid Solvers

IEEE Access
Reticle optimization is a computationally demanding task in optical microlithography for advanced semiconductor fabrication. In this study, we explore the effectiveness of D-Wave’s quantum annealing (QA) and hybrid steepest descent (SD) solvers in
Po-Hsun Fang, Yan-Syun Chen, Jhih-Sheng Wu, Peichen Yu   +3 more
doaj   +1 more source

Training dataset optimization for deep learning applied to optical proximity correction on non-regular hole masks

, 2023
International audienceWith the machine learning breakthroughs in the past few years, the number of studies applying this principle tolithography steps is increasing constantly.
Pena, Jean-Noël, Bange, Romain, Paquet, Clément, Dalla Mura, Mauro, Beylier, Charlotte, Guizzetti, Roberto, Urard, Mathis, Caplier, Alice   +7 more
core   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

Optical Proximity Correction Using Bidirectional Recurrent Neural Network With Attention Mechanism

, 2021
Recurrent neural network (RNN) is employed as a machine learning model for fast optical proximity correction (OPC). RNN consists of a number of neural network instances which are serially connected, with each instance in charge of one segment.
Kwon, Yonghwi, Shin, Youngsoo
core   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source