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[HTML][HTML] A review of transformers in drug discovery and beyond
Transformer models have emerged as pivotal tools within the realm of drug discovery,
distinguished by their unique architectural features and exceptional performance in …
distinguished by their unique architectural features and exceptional performance in …
[HTML][HTML] Recent development of computational cluster analysis methods for single-molecule localization microscopy images
With the development of super-resolution imaging techniques, it is crucial to understand
protein structure at the nanoscale in terms of clustering and organization in a cell. However …
protein structure at the nanoscale in terms of clustering and organization in a cell. However …
Deep learning in single-molecule imaging and analysis: recent advances and prospects
X Liu, Y Jiang, Y Cui, J Yuan, X Fang - Chemical Science, 2022 - pubs.rsc.org
Single-molecule microscopy is advantageous in characterizing heterogeneous dynamics at
the molecular level. However, there are several challenges that currently hinder the wide …
the molecular level. However, there are several challenges that currently hinder the wide …
Polarity nano-map** of polymer film using spectrally resolved super-resolution imaging
Y Park, D Jeong, U Jeong, H Park, S Yoon… - … Applied Materials & …, 2022 - ACS Publications
With the rapid development of the nanofabrication of polymer materials, the local
measurement of the chemical properties of polymer nanostructures has become crucial …
measurement of the chemical properties of polymer nanostructures has become crucial …
Machine Learning for Single-Molecule Localization Microscopy: From Data Analysis to Quantification
Single-molecule localization microscopy (SMLM) is a versatile tool for realizing nanoscale
imaging with visible light and providing unprecedented opportunities to observe …
imaging with visible light and providing unprecedented opportunities to observe …
Development of highly dense material-specific fluorophore labeling method on silicon-based semiconductor materials for three-dimensional multicolor super …
The recent development of super-resolution fluorescence microscopy (SRM) has drastically
improved the resolution of light microscopy to the order of tens of nanometers. However, the …
improved the resolution of light microscopy to the order of tens of nanometers. However, the …
Surpassing the Diffraction Limit in Label-Free Optical Microscopy
Super-resolution optical microscopy has enhanced our ability to visualize biological
structures on the nanoscale. Fluorescence-based techniques are today irreplaceable in …
structures on the nanoscale. Fluorescence-based techniques are today irreplaceable in …
Advancing Spectrally‐Resolved Single Molecule Localization Microscopy with Deep Learning
Spectrally‐resolved single molecule localization microscopy (srSMLM) is a recent technique
enriching single molecule localization microscopy with the simultaneous recording of …
enriching single molecule localization microscopy with the simultaneous recording of …
Precision lung cancer screening from CT scans using a VGG16-based convolutional neural network
H Xu, Y Yu, J Chang, X Hu, Z Tian… - Frontiers in Oncology, 2024 - pmc.ncbi.nlm.nih.gov
Objective The research aims to develop an advanced and precise lung cancer screening
model based on Convolutional Neural Networks (CNN). Methods Based on the health …
model based on Convolutional Neural Networks (CNN). Methods Based on the health …
Artificial Intelligence‐Empowered Spectroscopic Single Molecule Localization Microscopy
Spectroscopic single‐molecule localization microscopy (SMLM) has revolutionized the
visualization and analysis of molecular structures and dynamics at the nanoscale level. The …
visualization and analysis of molecular structures and dynamics at the nanoscale level. The …