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3D Deconvolution in microscopy Deconvolution is an image-processing technique that attempts to undo the blurring of the microscope and thereby improves the resolution of images. Various software packages for deconvolution are available, either commercial or open-source. They are computationally expensive and require high-end processors with extensive memory. Although programmers have striven to provide user-friendly solutions, deconvolution remains a challenging task: expert knowledge is often required for choosing the software, algorithm, and appropriate setup of the tuning parameters. This webpage provides data with corresponding PSF models (point-spread function) to facilitate and unify the comparison and validation of deconvolution software packages. The provided PSF and the test data synthetic hollow bars, three-channel C. elegans embryo, and Fluorescent bead with known size are all 3-D volumes. Reference Alessandra Griffa, Nathalie Garin and Daniel Sage, "Comparison of Deconvolution Software in 3D Microscopy. A User Point of View", Part I and Part II, G.I.T. Imaging & Microscopy, vol 1, pp. 43-45, 2010.
Test Datasets Conditions of use All data and PSF have been generated at the EPFL. They are made available freely for research purposes only. Any publication resulting from their use should include a citation or acknowledgment. EPFL makes no warranties of any kind on this software and shall in no event be liable for damages of any kind in connection with the use and exploitation of this technology. |
