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Open AccessJournal ArticleDOI

Preprocessing of 2-Dimensional Gel Electrophoresis Images Applied to Proteomic Analysis: A Review

TLDR
This paper reviews the preprocessing techniques applied to 2-DGE images for noise reduction, intensity normalization, and background correction and presents a quantitative comparison of non-linear filtering Techniques applied to synthetic gel images, through analyzing the performance of the filters under specific conditions.
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This article is published in Genomics, Proteomics & Bioinformatics.The article was published on 2018-02-01 and is currently open access. It has received 27 citations till now. The article focuses on the topics: Gaussian noise & Background noise.

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Citations
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Journal ArticleDOI

Combined Proteomics and Metabolism Analysis Unravels Prominent Roles of Antioxidant System in the Prevention of Alfalfa (Medicago sativa L.) against Salt Stress.

TL;DR: The findings highlighted the importance of the supplied extra reducing power, thanks to the TCA cycle, in the well-functioning of glutathione to remove and scavenge the reactive oxygen species (ROS) and mitigate subsequently the oxidative deleterious effect of salt on carbon metabolism including the CBB cycle.
Journal ArticleDOI

H2S Regulation of Metabolism in Cucumber in Response to Salt-Stress Through Transcriptome and Proteome Analysis.

TL;DR: The first global analysis of the mechanism underlying H2S regulation of salt-stress tolerance in cucumber through tracking changes in the expression of specific proteins and genes is presented.
Journal ArticleDOI

Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction

TL;DR: The proposed SCAE denoising system using three heterogeneous medical datasets is proposed based on stacked convolutional autoencoder (SCAE) technique and gives good results among the medical and microscopic datasets that are used for training.
Journal ArticleDOI

Performance evaluation of median-modified Wiener filter algorithm in high-resolution complementary metal–oxide–semiconductor radio-magnetic X-ray imaging system: An experimental study

TL;DR: In this paper, the median-modified Wiener filter (MMWF) algorithm based on a nonlinear adaptive spatial filter is compared to two general noise-reduction techniques using median and Wiener filters to confirm an excellent denoising approach in X-ray images.
Journal ArticleDOI

Two-dimensional gel electrophoresis (2D-GE) image analysis based on CellProfiler: Pseudomonas aeruginosa AG1 as model.

TL;DR: This work obtained images from 2D-GE of periplasmic protein profiles when the strain was exposed to multiple conditions, including antibiotics, and implemented and evaluated an image analysis protocol with open-source software, CellProfiler, which can automatically analyze a large number of images and is parallelizable.
References
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Journal ArticleDOI

A theory for multiresolution signal decomposition: the wavelet representation

TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Proceedings ArticleDOI

On genetic algorithms

TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
Journal ArticleDOI

The contourlet transform: an efficient directional multiresolution image representation

TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
Journal ArticleDOI

Adaptive wavelet thresholding for image denoising and compression

TL;DR: An adaptive, data-driven threshold for image denoising via wavelet soft-thresholding derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distribution widely used in image processing applications.
Journal ArticleDOI

Image selective smoothing and edge detection by nonlinear diffusion. II

TL;DR: In this article, a new version of the Perona and Malik theory for edge detection and image restoration is proposed, which keeps all the improvements of the original model and avoids its drawbacks.
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