Deep learning-enabled virtual histological staining of biological samples

B Bai, X Yang, Y Li, Y Zhang, N Pillar… - Light: Science & …, 2023 - nature.com
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 …

[HTML][HTML] Physics-driven tandem inverse design neural network for efficient optimization of UV–Vis meta-devices

S Noureen, IH Syed, S Ijaz, AA Abdellatif… - Applied Surface Science …, 2023 - Elsevier
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 …

[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 …

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 …

Digital staining facilitates biomedical microscopy

MJ Fanous, N Pillar, A Ozcan - Frontiers in Bioinformatics, 2023 - frontiersin.org
Traditional staining of biological specimens for microscopic imaging entails time-consuming,
laborious, and costly procedures, in addition to producing inconsistent labeling and causing …

Neural network-based processing and reconstruction of compromised biophotonic image data

MJ Fanous, P Casteleiro Costa, Ç Işıl… - Light: Science & …, 2024 - nature.com
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 …

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 …

Three-dimensional multifocal scanning microscopy for super-resolution cell and tissue imaging

K Tadesse, B Mandracchia, K Yoon, K Han, S Jia - Optics Express, 2023 - opg.optica.org
Recent advancements in image-scanning microscopy have significantly enriched super-
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 …

Stereoscopic video deblurring transformer

H Imani, MB Islam, MS Junayed, MAR Ahad - Scientific Reports, 2024 - nature.com
Stereoscopic cameras, such as those in mobile phones and various recent intelligent
systems, are becoming increasingly common. Multiple variables can impact the stereo video …