Unsupervised deep learning enables blur-free resolution enhancement in two-photon microscopy [0.03%]
无监督深度学习使双光子显微镜实现无模糊分辨率增强
Haruhiko Morita,Shuto Hayashi,Takahiro Tsuji et al.
Haruhiko Morita et al.
Two-photon microscopy enables the non-invasive imaging of deep living tissue. Quantitative three-dimensional analysis is hampered by axial blur and anisotropic resolution in two-photon microscopy. We introduce the two-photon microscopy imag...
Precision tumor-on-chip for personalized assessment of drug efficacy and immune cell delivery [0.03%]
精确的肿瘤芯片技术，用于个性化评估药物疗效和免疫细胞递送
Elena Kremneva,Johannes Smolander,Mimosa Peltokangas et al.
Elena Kremneva et al.
Tumor heterogeneity and drug resistance limit the efficacy of cancer therapies and highlight the need for patient-specific preclinical models. Here, we develop a microfluidic tumor-on-chip (TOC) platform that integrates patient-derived orga...
Uncertainty-aware graph structure optimization with ensemble learning for enhanced cancer gene identification [0.03%]
不确定性感知图结构优化与集成学习在增强癌症基因识别中的应用
Zihan Hu,Xiangzheng Fu,Ruyi Zheng et al.
Zihan Hu et al.
The heterogeneity and noise of biological networks reduce prediction accuracy. We propose NexusGene, a computational framework that integrates uncertainty-aware graph structure learning (UnGSL) with clustering-enhanced ensemble learning to ...
A DirectView focus reduction assay for high-throughput quantification of neutralizing antibodies against influenza A and B viruses [0.03%]
一种直接测定针对流感病毒的中和抗体滴度的高通量方法
Chenchen Feng,Thomas Rowe,Michael Currier et al.
Chenchen Feng et al.
The focus reduction assay (FRA) is a widely used method in influenza virus research and surveillance to evaluate neutralizing antibodies. However, traditional FRA relies on time-consuming, labor-intensive immunostaining workflows that const...
Cross-species integration of single-cell data reveals conserved pathology-associated cell populations across animal models and human samples [0.03%]
跨物种单细胞数据整合揭示了动物模型和人类样本中病理相关的保守性细胞群落
Cancheng Li,Hongtao Sang,Dayong Yue et al.
Cancheng Li et al.
Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular heterogeneity, but integrating data across species remains challenging due to technical variation and complex gene homology. We present TACMAN (transformer...
Optimizing microhomology-based genome editing by engineering DNA polymerase θ for improved efficiency and reduced on-target indels [0.03%]
工程化DNA聚合酶θ优化基于微同源性的基因组编辑以提高效率和降低靶点内插入删除突变率
Wanyi Wang,Meng Zhou,Tianshan Ji et al.
Wanyi Wang et al.
Precise genome editing through targeted DNA insertion is critical for gene therapy and biomedical research. While existing methods rely on homology-directed repair (HDR), this process suffers from low efficiency in non-dividing cells. Micro...
AmygdalaGo-BOLT for boundary-aware segmentation of the human amygdala [0.03%]
基于边界的人脑杏仁体分割的AmygdalaGo-BOLT方法
Quan Zhou,Bo Dong,Peng Gao et al.
Quan Zhou et al.
Tracing the boundaries of the amygdala from brain images remains a major challenge in human neuroscience. Although large-scale neuroimaging studies increasingly collect thousands of scans to investigate structural development in children an...
Ordering molecular diversity in untargeted metabolomics via molecular community networking [0.03%]
基于分子社区网络的非靶向代谢组学中分子多样性的排序
Elizabeth A Coler,Alexey Melnik,Ali Lotfi et al.
Elizabeth A Coler et al.
Molecules in living systems are not random but are shaped by biological necessity. Mass spectrometry (MS) is a powerful tool for exploring these complex molecular landscapes. Molecular networking links metabolites by spectral similarity, bu...
Rapid neuronal labeling and functional imaging in the developing mouse brain with AAV-PHP.eB [0.03%]
携带AAV-PHP-eB的快速神经元示踪及小鼠发育期脑功能成像
Weiyi Ye,Mao Deng,Sijing Zhao et al.
Weiyi Ye et al.
Neuronal labeling in the developing brain is essential for studying the formation and maturation of neural circuits. Among labeling techniques, adeno-associated virus (AAV)-based gene delivery offers high efficiency and versatility. However...
Temporal control of sgRNA library activation unlocks large-scale in vivo CRISPR screens [0.03%]
时间控制sgRNA文库激活可解锁大规模体内CRISPR筛选技术
Silvia Fenoglio,Yi Yu,James Tepper et al.
Silvia Fenoglio et al.
CRISPR-StAR (stochastic activation by recombination) is an inducible pooled screening system that activates gene knockout after tumor engraftment and provides matched internal controls for guide-level normalization. In this study, we explor...