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We present a mathematical model of such a cluster based raster imaging system, derive a robustness metric for evaluating heuristics in this environment, and demonstrate using the metric to make resource allocation decisions.
The heuristics are evaluated within a simulation of the studied raster imaging system.
To implement the present method, several issues such as the handling of the mass constraint and raster imaging are also investigated.
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During the raster scanning imaging using TPE of nm-size AuNPs (5, 20 and 40 nm) embedded on a collagen fibers matrix, we found that some of the NPs move along the fibers in a single frame.
This high a resolution would be necessary for spatially resolving single cells when using a raster pattern in imaging mode.
In addition to hand-held probe implementation, other important features for a clinical instrument should include high frame rate imaging to minimize motion artifacts, acquisition of image stacks at different depths in the RCM mode and raster images in the OCT mode.
Applications using raster images and vector graphics are tested.
The full dataset is therefore a 4-channel raster image.
Compared with the former TD-OCT technology, current SD-OCT or SS-OCT technologies which provide raster-scanning imaging, are more sensitive for detecting of subtle morphological changes and, thus, permit early treatment of exudative recurrence.
Since the ions at m/z 191 corresponding to citrate contain multiple ions within the same nominal mass, we performed MS/MS imaging with LTQ-XL at a raster scan pitch of 40 µm.
Since the ions corresponding to PEs contain multiple ions within the same nominal mass, we performed MS/MS imaging with LTQ-XL at a raster scan pitch of 40 μm in negative ion detection mode.
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