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This script to track lava level is one of a suite of Matlab scripts that comprise the thermal camera image acquisition scheme described by Patrick et al. (2014).
STORM setup and image acquisition scheme were similar to that described before (Dani et al., 2010), with the following modifications.
The image acquisition scheme used two inversions with images acquired for 5 s after the first inversion pulse, followed by a 3-s pause, in turn followed by a second inversion pulse and image acquisition for 3 s.
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The proposed system designs a novel image acquisition system to enhance the defects appearances and get controlled image acquisition environment.
We established the compatible face image acquisition system.
The benefit of such a large increase in the BOLD contrast could be used to improve the image resolution, the acquisition scheme, or the task design of fMRI experiments.
Image acquisition was performed using Andor IQ2 imaging software (Andor Technologies).
False-color SERS images from single particles were obtained by choosing a Raman point-mapping acquisition scheme with EMCCD detection and an integration time of 30 ms per pixel.
Image acquisition was done with Volocity or LSM imaging software.
In [1], two categorizations of counter-forensic schemes (or attacks) are proposed: according to when, in the image acquisition chain, an attack takes place (integrated or post-processing, i.e., during or after the acquisition) and according to whether the countered forensic algorithm is known or unknown to the attacker (targeted or universal attack, respectively).
The following sections propose a brief presentation of the image acquisition and plant mesh reconstruction steps, and detailed descriptions of the mesh segmentation, temporal phenotypic analysis, and validation scheme.
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