Bioimage postprocessing based on discrete wavelet transform and Lucy-Richardson deconvolution methods
Authors:
Preprint
Abstract
Accompanied with the increasing requirements of probing micro/nanoscopic structures of biological samples, a variety of image processing algorithms have been developed for visualization or to facilitate data analysis. However, it remains challenging to enhance both the signal-to-noise ratio and image resolution using a single algorithm. In this investigation, we propose an approach utilizing discrete wavelet transform (DWT) in combination with Lucy-Richardson (LR) deconvolution (DWDC). Our results demonstrate that the signal-to-noise ratio and resolution of live cell’s microtubule network are considerably improved, allowing recognition of features as small as 120 nm. Notably, the approach is independent of imaging system and shows robustness in processing fibrous structures, e.g. the cytoskeleton networks.Keywords
This publication has 38 references indexed in Scilit:
- Towards real-time image deconvolution: application to confocal and STED microscopyScientific Reports, 2013
- V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data setsNature Biotechnology, 2010
- New image-quality measure based on waveletsJournal of Electronic Imaging, 2010
- Stimulated emission depletion (STED) nanoscopy of a fluorescent protein-labeled organelle inside a living cellProceedings of the National Academy of Sciences, 2008
- The determination of pair distance distributions by pulsed ESR using Tikhonov regularizationJournal of Magnetic Resonance, 2005
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraintCommunications on Pure and Applied Mathematics, 2004
- An EM algorithm for wavelet-based image restorationIEEE Transactions on Image Processing, 2003
- 4Pi-Confocal Microscopy Provides Three-Dimensional Images of the Microtubule Network with 100- to 150-nm ResolutionJournal of Structural Biology, 1998
- Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopyOptics Letters, 1994
- Bayesian-Based Iterative Method of Image Restoration*Journal of the Optical Society of America, 1972