"Our work provides a new solution for the application of computational holographic imaging in biomedical microscopy," said Professor QIN Wenjian, the corresponding author of this paper.
Researchers from the Shenzhen Institute of Advanced Technology (SIAT) at the Chinese Academy of Sciences (CAS) and their collaborators have developed an efficient complex-valued attention mixer (EC...
The researchers conducted a retrospective study involving 252 patients treated between 2016 and 2019. By employing deep learning models and analyzing preoperative CT images and postoperative whole ...
A research team led by Prof. LI Zhicheng from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences (CAS) has developed an artificial intelligence-based model that...
The results revealed that rigid covalent crosslinking networks suppressed the quenching of triplet excitons while the hydrophobic microenvironment afforded good water/moisture-resistance ability fo...
Research team led by Prof. ZHU Pengli from the Shenzhen Institute of Advanced Technology (SIAT) of Chinese Academy of Sciences and Prof. CHI Zhenguo from the Sun Yat-sen University, have provided a...
"Our biosensing technique provides a promising tool for the effective detection of miRNA and could evolve into a platform to detect a wide class of nano-objects, such as many other tumor biomarkers...
microRNAs (miRNAs) are small non-coding RNA molecules that play an important role in the development and progression of various types of cancer, which makes it as biomarkers. The detection of miRNA...
"We expect this high-Q and strong chiroptical metasurface will find applications in chiral sensing and wavefront modulations." Dr. LI said.
Chirality is an intrinsic property of an object that cannot coincide with its mirror image by translation or rotation. In order to realize strong chiral light-matter interactions, which are usually...
The study was published in Advanced Science on October 10.
Researchers, led by Prof. ZHONG Guohua from the Shenzhen Institute of Advanced Technology (SIAT) at the Chinese Academy of Sciences (CAS) have made a significant prediction regarding superconductiv...
In this study, employing DCLGAN to eliminate strip artifacts in the polar coordinate system. Subsequently, applying post-processing techniques to extract ring artifacts from the image, with the aim...
Researchers led by Associate Professor LIANG Xiaokun from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Science (CAS), along with their collaborators have proposed ...
A research team led by Dr. LI Guangyuan from the Shenzhen Institute of Advanced Technology (SIAT) at the Chinese Academy of Sciences has conducted experiments demonstrating that it is possible to s...
Over the past two decades, plasmonics has emerged as a promising platform for the large-scale integration of nanophotonic devices, enabling a wide range of applications. However, the field has grap...