Building Experimental 3D Point-Spread Function (PSF) for Super-Resolution Microscopy
In fluorescence microscopy, it is of utmost importance to get the 3D point-spread function (PSF) for several image-processing, like deconvolution, super-resolution reconstruction of images, or single-molecule localization microscopy. The PSF give the answer of the optical system to a pont source, it characterizes the image formation model. To get a PSF, microscopists generally acquire a z-stack of a field of fluorescence small beads (eg. 100nm) and then pick up the good ones to average them. The drawback of this method is to create blurred PSF. In this project, we propose to design and to implement a image-processing module to select the "good" beads and to perform accurate localization first before to reconstruct a sharp PSF. The module should be enough flexible to handle various engineering PSF, like the astigmatism PSF or the double-helix PSF. The module will be a Java plugin of ImageJ or Icy.
© 2017 EPFL • firstname.lastname@example.org • 04.04.2017