cryo-electron-tomography-workflow-for-thick-tissues-demonstrated

Cryo-Electron Tomography Workflow for Thick Tissues Demonstrated in Mouse Hippocampus

Cryo&#8209;electron tomography (cryo&#8209;ET) enables 3D visualization of native cellular ultrastructure, but its application to thick tissues is limited ...

Southern University of Science & Technology

Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis. Over the past few years, many algorithms with impressive performances have been proposed. In this paper, inspired by the idea of deep learning, we introduce an MRI denoising method based on the residual encoder-decoder Wasserstein generative adversarial network (RED-WGAN). Specifically, to explore the structure similarity between neighboring slices, a 3D configuration is utilized as the basic processing unit. Residual autoencoders combined with deconvolution operations are introduced into the generator network. Furthermore, to alleviate the oversmoothing shortcoming of the traditional mean squared error (MSE) loss function, the perceptual similarity, which is implemented by calculating the distances in the feature space extracted by a pretrained VGG-19 network, is incorporated with the MSE and adversarial losses to form the new loss function. Extensive experiments are implemented to assess the performance of the proposed method. The experimental results show that the proposed RED-WGAN achieves performance superior to several state-of-the-art methods in both simulated and real clinical data. In particular, our method demonstrates powerful abilities in both noise suppression and structure preservation.

Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.

Mung bean ( L.) is an important pulse consumed all over the world, especially in Asian countries, and has a long history of usage as traditional medicine. It has been known to be an excellent source of protein, dietary fiber, minerals, vitamins, and significant amounts of bioactive compounds, including polyphenols, polysaccharides, and peptides, therefore, becoming a popular functional food in promoting good health. The mung bean has been documented to ameliorate hyperglycemia, hyperlipemia, and hypertension, and prevent cancer and melanogenesis, as well as possess hepatoprotective and immunomodulatory activities. These health benefits derive primarily from the concentration and properties of those active compounds present in the mung bean. Vitexin and isovitexin are identified as the major polyphenols, and peptides containing hydrophobic amino acid residues with small molecular weight show higher bioactivity in the mung bean. Considering the recent surge in interest in the use of grain legumes, we hope this review will provide a blueprint to better utilize the mung bean in food products to improve human nutrition and further encourage advancement in this field.

Article	Year
Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network. Medical image analysis\| PubMed ID: 31085444	2019
Mung Bean ( L.): Bioactive Polyphenols, Polysaccharides, Peptides, and Health Benefits. Nutrients\| PubMed ID: 31159173	2019

Jinrong Hu

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