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A quick look at the latest science news

wallpapers News 2020-08-26

is a biomedical image segmentation method based on deep learning

a biomedical image segmentation method based on deep learning. The results were published online in the journal Nature methodology on December 7.

researchers developed NNU net a subdivision method based on deep learning which can automatically self configure including preprocessing network architecture training post-processing for any new task. The key design choices in this process are modeled as a set of fixed parameters interdependent rules empirical decisions. Without human intervention NNU net can go beyond most existing methods including providing highly specialized solutions for the 23 public datasets used in the international biomedical segmentation competition. NNU net is provided by researchers as an out of the box tool which can be used by researchers without professional knowledge or computing resources other than stard network training. For information about

please refer to: https://doi.org/10.1038/s41592-020-01008-z

the new research of

in nature methodology defines the vector proteome restriction

in single cell proteomics. Christopher M. rose of the University of Southern California Bernhard of Munich University of technology Germany Kuster other researchers worked together to define carrier proteome constraints for single-cell proteomics. The results were published online December 7 in nature methodology.

researchers said that mass spectrometry single-cell proteomics is a recently introduced method to quantify multiplex single-cell proteome. Although this technology is exciting the underlying technologies (isobaric labeling mass spectrometry) have technical limitations that may affect data quality biological interpretation. These limitations are particularly important when using carrier proteome (i.e. 25-500 times the amount of single cell proteome) for peptide identification. The

researchers conducted control experiments to increase the number of carrier proteomes evaluate the quantitative accuracy as this is related to the dynamic range of the mass analyzer the level of multiplexing the number of ions sampled. The researchers demonstrated that increasing the level of carrier proteome requires an increase in the number of sample ions to maintain quantitative accuracy. For information about

please refer to: https://doi.org/10.1038/s41592-020-01002-5

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