Deep learning-enabled virtual histological staining of biological samples
Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
[HTML][HTML] Physics-driven tandem inverse design neural network for efficient optimization of UV–Vis meta-devices
This paper presents two tandemly stacked forward and inverse deep neural networks to
model and optimize cylindrical shaped transmissive meta-atoms for UV–Vis regime …
model and optimize cylindrical shaped transmissive meta-atoms for UV–Vis regime …
[HTML][HTML] Adaptive multiscale microscope with fast zooming, extended working distance, and large field of view
Y Zheng, X Wang, Z Jiang, J Xu, R Yuan… - Light: Advanced …, 2024 - light-am.com
The field-of-view (FOV), depth of field, and resolution of conventional microscopes are
constrained by each other; therefore, a zoom function is required. Traditional zoom methods …
constrained by each other; therefore, a zoom function is required. Traditional zoom methods …
Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine
B Lai, J Fu, Q Zhang, N Deng… - … Journal of Oncology, 2023 - spandidos-publications.com
Clinical efforts on precision medicine are driving the need for accurate diagnostic, new
prognostic and novel drug predictive assays to inform patient selection and stratification for …
prognostic and novel drug predictive assays to inform patient selection and stratification for …
Digital staining facilitates biomedical microscopy
Traditional staining of biological specimens for microscopic imaging entails time-consuming,
laborious, and costly procedures, in addition to producing inconsistent labeling and causing …
laborious, and costly procedures, in addition to producing inconsistent labeling and causing …
Neural network-based processing and reconstruction of compromised biophotonic image data
In recent years, the integration of deep learning techniques with biophotonic setups has
opened new horizons in bioimaging. A compelling trend in this field involves deliberately …
opened new horizons in bioimaging. A compelling trend in this field involves deliberately …
Deep learning accelerates whole slide imaging for next-generation digital pathology applications
Y Rivenson, A Ozcan - Light: Science & Applications, 2022 - nature.com
Deep learning accelerates whole slide imaging for next-generation digital pathology
applications | Light: Science & Applications Skip to main content Thank you for visiting …
applications | Light: Science & Applications Skip to main content Thank you for visiting …
Three-dimensional multifocal scanning microscopy for super-resolution cell and tissue imaging
Recent advancements in image-scanning microscopy have significantly enriched super-
resolution biological research, providing deeper insights into cellular structures and …
resolution biological research, providing deeper insights into cellular structures and …
Enhancing scanning electron microscopy imaging quality of weakly conductive samples through unsupervised learning
X Gao, T Huang, P Tang, J Di, L Zhong, W Zhang - Scientific Reports, 2024 - nature.com
Scanning electron microscopy (SEM) is a crucial tool for analyzing submicron-scale
structures. However, the attainment of high-quality SEM images is contingent upon the high …
structures. However, the attainment of high-quality SEM images is contingent upon the high …
Stereoscopic video deblurring transformer
Stereoscopic cameras, such as those in mobile phones and various recent intelligent
systems, are becoming increasingly common. Multiple variables can impact the stereo video …
systems, are becoming increasingly common. Multiple variables can impact the stereo video …