Super-resolution Image Reconstruction for Structured Illumination Microscopy (SIM) as ImageJ Plugin
Autumn 2015
Master Semester Project
Master Diploma
Project: 00297
Nowadays, the super-resolution technique has been playing more and more important role in biomedical imaging, such as X-ray radiography, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), medical ultrasonography, tactile imaging and microscopy imaging etc.
In microscopy imaging, the resolution of conventional light microscopy is strongly limited due to the light diffraction. But the Structured Illumination Microscopy (SIM), one of the widely used super-resolution techniques, can successfully increase the spatial resolution of the microscopy image beyond its diffraction limit (physical resolution) thanks to using spatially modulated light. The SIM can effectively give access to more delicate biological structures and more precise details.
The main purposes of this project will be to firstly learn the SIM algorithm in signal processing techniques such as Fourier Transform, deconvolution and regularization etc, then apply concerned algorithm in Matlab simulation, and finally develop a SIM-ImageJ plus-in. It will be of great interests for both researchers and microscope manufacturers to use your proposed software, which does not widely exist up to now. The student will also attend the microscopy experiment for real data acquisition with the help of microscopy technician.
- Supervisors
- Daniel Sage, daniel.sage@epfl.ch, 021 693 51 89, BM 4.135
- Michael Unser, michael.unser@epfl.ch, 021 693 51 75, BM 4.136
- 1) Ning Chu ning.chu@epfl.ch BM 4.141 Tel 021 693 51 43