Results 171 to 180 of about 2,361,330 (284)

Estimating blood oxygen saturation through susceptibility source separation: A new standpoint on quantitative BOLD models. [PDF]

open access: yesJ Cereb Blood Flow Metab
Chalet L   +10 more
europepmc   +1 more source

Multi-target reconstruction strategy based on blind source separation of surface measurement signals in FMT. [PDF]

open access: yesBiomed Opt Express, 2023
Zhang L   +8 more
europepmc   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

open access: yesFEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee   +3 more
wiley   +1 more source

χ-sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation. [PDF]

open access: yesHum Brain Mapp
Kim M   +10 more
europepmc   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

open access: yesFEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin   +12 more
wiley   +1 more source

Visual Parameter Selection for Spatial Blind Source Separation. [PDF]

open access: yesComput Graph Forum, 2022
Piccolotto N   +5 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS 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   +2 more
wiley   +1 more source

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