LIC color texture enhancement algorithm for ocean vector field data based on HSV color mapping and cumulative distribution function

Texture-based visualization method is a common method in the visualization of vector field data.Aiming at adding color mapping to the texture of ocean vector field and solving the ambiguity of vector direction in texture image,a new color texture enhancement algorithm based on the Line Integral Convolution(LIC)for the vector field data is proposed,which combines the HSV color mapping and cumulative distribution function calculation of vector field data.This algorithm can be summarized as follows:firstly,the vector field data is convoluted twice by line integration to get the gray texture image.Secondly,the method of mapping vector data to each component of the HSV color space is established.And then,the vector field data is mapped into HSV color space and converted from HSV to RGB values to get the color image.Thirdly,the cumulative distribution function of the RGB color components of the gray texture image and the color image is constructed to enhance the gray texture and RGB color values.Finally,both the gray texture image and the color image are fused to get the color texture.The experimental results show that the proposed LIC color texture enhancement algorithm is capable of generating a better display of vector field data.Furthermore,the ambiguity of vector direction in the texture images is solved and the direction information of the vector field is expressed more accurately.

Accurate quantification of 3'-terminal 2'-O-methylated small RNAs by utilizing oxidative deep sequencing and stem-loop RT-qPCR

The continuing discoveries of novel classes of RNA modifications in various organisms have raised the need for improving sensitive,convenient,and reliable methods for quantifying RNA modifications.In particular,a subset of small RNAs,including microRNAs(miRNAs)and Piwi-interacting RNAs(piRNAs),are modified at their 3'-terminal nucleotides via 2'-0-methylation.However,quantifying the levels of these small RNAs is difficult because 2'-0-methylation at the RNA 3'-terminus inhibits the activity of polyadenylate polymerase and T4 RNA ligase.These two enzymes are indispensable for RNA labeling or ligation in conventional miRNA quantification assays.In this study,we profiled 3'-terminal 2'-0-methyl plant miRNAs in the livers of rice-fed mice by oxidative deep sequencing and detected increasing amounts of plant miRNAs with prolonged oxidation treatment.We further compared the efficiency of stem-loop and poly(A)-tailed RT-qPCR in quantifying plant miRNAs in animal tissues and identified stem-loop RT-qPCR as the only suitable approach.Likewise,stem-loop RT-qPCR was superior to poly(A)-tailed RT-qPCR in quantifying 3'-terminal 2'-0-methyl piRNAs in human seminal plasma.In summary,this study established a standard procedure for quantifying the levels of 3'-terminal 2'-0-methyl miRNAs in plants and piRNAs.Accurate measurement of the 3'-terminal 2'-0-methylation of small RNAs has profound implications for understanding their pathophysiologic roles in biological systems.