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Article
A multi-omics integrative network map of maize
Networks are powerful tools to uncover functional roles of genes in phenotypic variation at a system-wide scale. Here, we constructed a maize network map that contains the genomic, transcriptomic, translatomic...
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Article
Inclusion Evolution in Al-Killed Ca-Treated Steels at Heat Treatment Temperature In Situ Observed Using Confocal Scanning Laser Microscope
In situ observation and elemental map** were combined to better understand the evolution mechanism of inclusions from CaO–MgO–Al2O3 to CaO–MgO–Al2O3–CaS in Al-killed Ca-treated steels at 1273 K to 1473 K. Durin...
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Article
Distribution-dependent feature selection for deep neural networks
While deep neural networks (DNNs) have achieved impressive performance on a wide variety of tasks, the black-box nature hinders their applicability to high-risk, decision-making fields. In such fields, besides...
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Chapter and Conference Paper
Accelerating Microstructure Recognition of Nickel-Based Superalloy Data by UNet++
In recent years, the field of alloys has been developed rapidly under the high-throughput experiments. At the same time, the research and application of superalloy microstructure have become a very important p...
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Article
Transformation of Inclusions in Linepipe Steels During Heat Treatment
The effect of heat treatment on the transformation of inclusions in linepipe steels was investigated experimentally and theoretically. During heat treatment, CaO-Al2O3 type of inclusions in steels before heating ...
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Article
Open AccessA fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images
It is becoming increasingly clear that the quantification of mitochondria and synapses is of great significance to understand the function of biological nervous systems. Electron microscopy (EM), with the nece...
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Article
Open AccessEffective automated pipeline for 3D reconstruction of synapses based on deep learning
The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accura...
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Chapter and Conference Paper
Fully Automatic Synaptic Cleft Detection and Segmentation from EM Images Based on Deep Learning
The synapse, which is the carrier of neurotransmitter molecules to transmit and store information, is believed to be the key to the reconstruction of the neural circuit. To date, electron microscope (EM) is co...
