University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, ...
Researchers have developed a generative AI system called CytoDiffusion that can analyze blood cells with a level of precision that rivals, and in some cases exceeds, human experts.
Studying T cells, the immune cells most responsible for responding to infections and cancers, just received a significant boost in the form of a new technique from St. Jude Children's Research ...
NINJ1 blocks HSV-1 entry into mouse macrophages independent of its role in cell death, resulting in greater secretion of pro ...
This study provides valuable data on the role of Hsd17b7, a gene involved in cholesterol biosynthesis, as a potential regulator of mechanosensory hair cell function. The authors used both zebrafish ...
Abstract: Semantic segmentation for wafer transmission electron microscopy (TEM) images plays a crucial role in the automated measurement of semiconductors. However, the automated measurement of wafer ...
Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, 866 Yuhangtang Rd., Hangzhou, Zhejiang 310058, China ...
Abstract: Support Vector Machine (SVM) integrated with subsampling methods provides the latest approach to cell segmentation of microscopic images. This approach aims to increase computing efficiency ...
The Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image segmentation algorithm that can rapidly reconstruct three-dimensional (3D) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback