Naturally, high spatial, spectral, and
temporal resolution as well as a high polarimetric sensitivity can not be achieved at the same time.
However some technical challenges still need to be taken to make the technology more accessible and usable to its full potential: gaining selective and comprehensive genetic access to the neurons of interest, controlling variation in the expression of the optogenetic tools (when using viruses) and its precise localization (axon vs. presynaptic terminals), tailoring light - delivery system signals to individual cells in a population rather than the population as a whole, developing observation techniques which have the same spatial and
temporal resolution as those tools... to cite only a few of them.
A team of researchers at Columbia Engineering has used miniaturized electronics to measure the activity of individual ion - channel proteins with
temporal resolution as fine as one microsecond, producing the fastest recordings of single ion channels ever performed.
The field of live - cell imaging has expanded greatly in recent years, but still faces many challenges, such as how to improve spatial and
temporal resolution as well as how to keep cells healthy for extended periods of time.
Not exact matches
«
As such, they offer unparalleled spatial and temporal resolution over other imaging technologies to help us achieve a better understanding of complex and uniquely human brain functions, such as language,» adds Thesen, an assistant professor at NYU Langon
As such, they offer unparalleled spatial and
temporal resolution over other imaging technologies to help us achieve a better understanding of complex and uniquely human brain functions, such
as language,» adds Thesen, an assistant professor at NYU Langon
as language,» adds Thesen, an assistant professor at NYU Langone.
As the method can be automated, it might be possible to obtain data on biodiversity in an unprecedented spatial and
temporal resolution in the future.
NIRSIT, a functional near - infrared spectroscopy neuroimaging device, is set to change the landscape of neuroscience research and the medical sector by offering high spatial
resolution as well
as high
temporal resolution in a portable and wireless manner.
He feels he has landed in an area with the right balance of variables, or,
as he calls it, «a sweet spot of spatial and
temporal resolution.»
Although non-invasive methods to explore brain function in humans such
as functional imaging and EEG / MEG have been informative regarding the potential role of a given brain area in a particular cognitive function, they lack the necessary
temporal and spatial
resolution to study brain microcircuits.
Coherent diffractive imaging (CDI) is presented
as a new full field imaging technique that can achieve very high spatial and
temporal resolution simultaneously.
Currently, there is no commercial microscopy system available for live imaging of Archaea with sufficiently high spatio -
temporal resolution to accurately observe processes such
as cell division.
However, combining both
temporal AA and UHD
resolution produces a very smooth image, though sharpness is sacrificed
as a result.
Resolution shouldn't be
as much of a priority, not when new
temporal reconstruction technologies can provide great IQ enhancements for little or no cost to hardware resources.
There's
temporal resolution loss
as you go back, but I suspect that for a given background climate, there's a lot of «boringness» within it (e.g., how much in - Eocene or in - Snowball variability do we actually expect?
Borehole data (Pollack et al., 1998) independently support this conclusion for the past 500 years although,
as discussed earlier (Section 2.3.2.1), detailed interpretations comparison with long - term trends from such of such data are perilous owing to loss of
temporal resolution back in time.
As Curry states: Kopp et al. «compiled a global database of regional sea level reconstructions from 24 localities, many with decimeter - scale vertical
resolution and subcentennial
temporal resolution.
Alternatively you have to use proxies with high
temporal resolution (like ice cores such
as Gisp2)
As a result, it's clear that GCMs are pretty refined with respect to their
temporal resolution.
The important considerations for the baseline include the time period adopted
as well
as the spatial and
temporal resolution of the baseline data.
These are
as expected, with low
temporal resolution and in that context unremarkable.
There are now several alternative proxy measures of ancient climate change, but the δ18O data (figure 1a) of Zachos et al. [4], a conglomerate of the global ocean sediment cores, is well suited for our purpose
as it covers the Cenozoic era with good
temporal resolution.
I'd only question the «lousy
temporal resolution» in question D. It's not reasonable to expect more,
as Paul Dennis made clear on 19th March responding to Richard Telford:
This task involved extensive time series analysis that identified Singular Spectrum Analysis (SSA)
as an optimal analytic for resolving estimates of mean sea level from long tide gauge records with improved accuracy and
temporal resolution, since it provides a superior capability to separate key time varying harmonic components of the time series.
The ability of dynamic models to capture various interactions of complex systems, their potential to adapt and evolve
as the real system changes and / or the level of the modelers» understanding of the real system improves, their ability to model coupled processes of different
temporal and spatial
resolutions and scales, and their flexibility to incorporate and / or couple to models based on other approaches (such
as agent - based modeling, stochastic modeling, etc.) render them
as a versatile and efficient tool to model coupled Earth — Human Systems [190,191,192,193].
Almost any problem can be made into a Grand Challenge grade problem
as the need for higher
temporal and spatial
resolution is factored in along the software - evolution trajectory.