# Difference between revisions of "More explanation"

VarunKapoor (talk | contribs) (Created page with "Point spread function or the PSF is estimated by fitting Gaussian function to the bead images. In our case we only need 2D bead images as the microtubules imaged are in 2 dime...") |
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− | Point spread function or the PSF is estimated by fitting Gaussian function to the bead images. In our case we only need 2D bead images as the microtubules imaged are in 2 dimension. The mathematical form of the Gaussian used in the program is exp[-(x - ux)/sx^2 - (y-uy)/sy^2] | + | Point spread function or the PSF is estimated by fitting Gaussian function to the bead images. In our case we only need 2D bead images as the microtubules imaged are in 2 dimension. The mathematical form of the Gaussian used in the program is exp[-(x - ux)/sx^2 - (y-uy)/sy^2], here ux and uy are the mean of the 2D Gaussian and sx, sy are the sigmaX and sigmaY of the 2D Gaussian. MTrack takes as input the sx and sy as defined in the form of the 2D gaussian above. |

## Latest revision as of 10:57, 5 October 2017

Point spread function or the PSF is estimated by fitting Gaussian function to the bead images. In our case we only need 2D bead images as the microtubules imaged are in 2 dimension. The mathematical form of the Gaussian used in the program is exp[-(x - ux)/sx^2 - (y-uy)/sy^2], here ux and uy are the mean of the 2D Gaussian and sx, sy are the sigmaX and sigmaY of the 2D Gaussian. MTrack takes as input the sx and sy as defined in the form of the 2D gaussian above.