Evaluation of automated signal detection in noisy data with S8 algorithm.

(A) Intensity vs time graphs show the amplitude of Gaussian signal pulses embedded in background noise. SNR, signal-to-noise ratio. (B) Selected images from time (t) = 0, 90, and 180 seconds showing the position (center image) of the signal pulse at pea...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jennifer M. Knighten (15453354) (author)
مؤلفون آخرون:	Takreem Aziz (15453357) (author), Donald J. Pleshinger (15453360) (author), Naga Annamdevula (15453363) (author), Thomas C. Rich (15453366) (author), Mark S. Taylor (611990) (author), Joel F. Andrews (5340578) (author), Christian T. Macarilla (15453369) (author), C. Michael Francis (15453372) (author)
منشور في:	2023
الموضوعات:	Medicine Cell Biology Genetics Molecular Biology Biotechnology Developmental Biology Computational Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified signal dynamics obtained signal distortion observed parameters including amplitude lapse hyperspectral images human tibial arteries art image processing multiple signaling molecules dependent polygonal regions biological signal detection biological signaling patterns temporally distinct signals interest analysis may interest </ p signaling patterns dynamic regions distinct combinations automated detection segmented signals overestimate signals interest size tissue imaging static methods spatial spread second messengers precisely tracked intricate spatially diverse tissues dimensional data changing perimeter cellular communication available methods automatically assigned analysis based
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Evaluation of automated signal detection in noisy data with S8 algorithm.

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