A recent study published in PLoS ONE has introduced a novel deep learning model designed to enhance the accuracy of nuclear segmentation in histopathological images. The research, led by Qiumei Pu, focuses on a new approach called the Multifunctional
New MA-Net Model Revolutionizes Nuclear Segmentation in Pathology Read More »
Researchers at the Biocenter, University of Würzburg, led by Johanna Odenwald, have developed a groundbreaking method for detecting proteins that are often difficult to visualize using traditional techniques. Published in the journal eLife, this stud
Würzburg Researchers Unveil Advanced Method for Protein Detection Read More »
Recent advancements in cooling technologies for nuclear fusion devices have been made by a team of researchers led by Xin Meng from the MIIT Key Laboratory of Thermal Control of Electronic Equipment at Nanjing University of Science and Technology. Th
Nanjing Researchers Unveil Breakthrough Cooling Tech for Nuclear Fusion Read More »
A recent breakthrough in concrete surface crack detection has emerged from researchers at Lanzhou Jiaotong University, led by Xuwei Dong. Their study introduces an innovative detection algorithm called YOLOv8-Crack Detection (YOLOv8-CD), which signif
Lanzhou Jiaotong University Unveils Advanced Algorithm for Concrete Crack Detection Read More »
Recent research conducted by E. Noori at the Plasma and Nuclear Fusion Research School within the Nuclear Science and Technology Research Institute (NSTRI) in Tehran has shed light on the intricate relationship between plasma characteristics and micr
Research by NSTRI Reveals Key Insights on Plasma and Microwave Interactions Read More »
