Ardo Illaste edited Results.md  about 10 years ago

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1/16 & 1/2 & 1/16\\\\  1/16 & 1/16 & 1/16 \end{array} \right)  \]  Convolving the image with this kind of kernel reduces the noise while retaining more of the original signal than simple averaging. Contributions from the i-th layer around the center will have the same weight as the central pixel. In this work we use the kernel with \(n=1\).  ### Region detection  The method works by fitting fluorescence signal from each pixel with a transient function. Prior to fitting, candidate regions containing possible events must be detected.