Wilson Geisler and Johannes Burge, psychologists at the Center for Perceptual Systems at the University of Texas, Austin, have developed a simple algorithm for quickly and accurately estimating the focus error from a single blurry image-something they say is key to understanding how biological visual systems avoid the repetitive guess-and-check method employed by digital cameras.
Based on the distribution of the foci, a multiple ring buffer map was compiled, with pre-established distances of 50 meters (radius of a block), in order to estimate the expansion of the foci during rainy periods.
The ignition delay times are used in combination with 1D gas dynamics to estimate the effect of shock-focusing.
In order to estimate the regional strike, we focused on the data at lower frequencies.
Given that the rate of new microtubule end association with cell tips is ∼1/min [14], and ∼10 cables per cell tip [4], we estimate the lifetime of cortical foci to be several minutes, consistent with reported FRAP experiments of Tea1p [15].
To estimate the frequency of γH2AX foci, 100 - 200 nuclei were scored.
To estimate the numbers of γH2AX foci in cells at G2, the nuclei of cells with bright cyclin B1 staining were chosen.
With the auto-focusing technology applied universally in the digital imaging system, it has been the research focus to estimate the images definition effectively and quickly.
To estimate the frequency of contamination, we focused on sequence reads mapped to mtDNA and estimated ratio of mismatched reads to each mtDNA haplogroup, which were previously classified into N9b11 (Supplementary Methods S3).
In a case study of Nanmeitou ore deposit in China, the geological bodies' boundaries are well identified and the depth estimates of the focus area are relatively consistent with the drilling data, which can provide effective reference for subsequent drilling target selection.
