Recently,single-cell RNA-seq technologies have been rapidly updated,leading to a revolution in biology.We previously developed Microwell-seq,a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq)me...Recently,single-cell RNA-seq technologies have been rapidly updated,leading to a revolution in biology.We previously developed Microwell-seq,a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq)method with a very simple device.Most cDNA libraries are sequenced using an expensive Illumina platform.Here,we present the first report showing combined Microwell-seq and BGI MGISEQ2000,a less expensive sequencing platform,to profile the whole transcriptome of 11,883 individual mouse adult adrenal gland cells and identify 18 transcriptionally distinct clusters.Moreover,we performed a single-cell comparative analysis of human and mouse adult adrenal glands to reveal the conserved genetic networks in these mammalian systems.These results provide new insights into the sophisticated adrenal gland hierarchy and provide a benchmark,low-cost strategy for highthroughput single-cell RNA study.展开更多
Detection navigation baseline is primary for the automation of maize weeder in seedling.In the navigation technology based on machine vision,maize seeding or weed near the camera is photographed as a discrete area,whi...Detection navigation baseline is primary for the automation of maize weeder in seedling.In the navigation technology based on machine vision,maize seeding or weed near the camera is photographed as a discrete area,while a plant far away from the camera is photographed as a strip area along with other plants in the same row.The two problems cannot be solved by one method.However,in this paper,an algorithm of detection navigation baseline in the row-following operation of maize weeder based on axis extraction was proposed to solve the both problems.Firstly,plants are distinguished from the background based on color feature,and the binary image is acquired.Secondly,plants are described as a set of connected components with numbers after connected components labeling and noise clearing.Thirdly,the axes of all connected components are extracted according to the calculation method of rotary inertia in physics.Next,the abnormal connected components with axes are deleted because the angles between the axes and X-axis are above angle threshold.Then,the judgment model is built based on angle tolerance and distance tolerance,the connected components in a same row based on this model through two-step traversal are merged,and a new axis is re-extracted as the axis of the plant row.Finally,the navigation baselines are detected based on the axes of the plant row.The experimental results show that the accuracy of this algorithm is more than 93%,and the computing time is less than 1.6 s,which can meet the accuracy and real-time performance requirements of maize weeder.展开更多
基金This work was supported by grants from the National Natural Science Foundation of China(81770188,31722027,and 31701290)the National Key Program on Stem Cell and Translational Research(2017YFA0103401).
文摘Recently,single-cell RNA-seq technologies have been rapidly updated,leading to a revolution in biology.We previously developed Microwell-seq,a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq)method with a very simple device.Most cDNA libraries are sequenced using an expensive Illumina platform.Here,we present the first report showing combined Microwell-seq and BGI MGISEQ2000,a less expensive sequencing platform,to profile the whole transcriptome of 11,883 individual mouse adult adrenal gland cells and identify 18 transcriptionally distinct clusters.Moreover,we performed a single-cell comparative analysis of human and mouse adult adrenal glands to reveal the conserved genetic networks in these mammalian systems.These results provide new insights into the sophisticated adrenal gland hierarchy and provide a benchmark,low-cost strategy for highthroughput single-cell RNA study.
基金This work was supported by National Key Research and Development Program of China(2017YED0701500)Shanxi Provincial Program for Youth Science and Technology(201801D221289)Shanxi Agriculture University Youth Science and Technology Innovation Project(J141802199).
文摘Detection navigation baseline is primary for the automation of maize weeder in seedling.In the navigation technology based on machine vision,maize seeding or weed near the camera is photographed as a discrete area,while a plant far away from the camera is photographed as a strip area along with other plants in the same row.The two problems cannot be solved by one method.However,in this paper,an algorithm of detection navigation baseline in the row-following operation of maize weeder based on axis extraction was proposed to solve the both problems.Firstly,plants are distinguished from the background based on color feature,and the binary image is acquired.Secondly,plants are described as a set of connected components with numbers after connected components labeling and noise clearing.Thirdly,the axes of all connected components are extracted according to the calculation method of rotary inertia in physics.Next,the abnormal connected components with axes are deleted because the angles between the axes and X-axis are above angle threshold.Then,the judgment model is built based on angle tolerance and distance tolerance,the connected components in a same row based on this model through two-step traversal are merged,and a new axis is re-extracted as the axis of the plant row.Finally,the navigation baselines are detected based on the axes of the plant row.The experimental results show that the accuracy of this algorithm is more than 93%,and the computing time is less than 1.6 s,which can meet the accuracy and real-time performance requirements of maize weeder.
