Revealing buried layers in oxide heterostructures with scanning transmission electron microscopy using integrated differential phase contrast (STEM-iDPC) imaging [0.03%]
基于集成差分相位对比扫描透射电子显微学的氧化物异质结构埋藏层的表征研究
Deepak Kumar Dinkar,Sebastian C Dixon,Ivor Guiney et al.
Deepak Kumar Dinkar et al.
Atomic-scale characterisation of thin buried layers in oxide heterostructures is often limited by the reduced sensitivity of conventional Z-contrast high-angle annular dark-field (HAADF) imaging to light elements and low-density regions. He...
Bioimage analysis in deep visual proteomics: Advancing transparency, reproducibility, and FAIR principles [0.03%]
深度视觉蛋白质组学中的生物图像分析：推进透明度、可重复性和FAIR原则
Devon Siemes,Angelo Novak,Stephanie Thiebes et al.
Devon Siemes et al.
Deep Visual Proteomics (DVP) combines high-resolution microscopy, computational instance segmentation, laser capture microdissection (LMD), and ultrasensitive mass spectrometry to enable spatially resolved molecular analysis of defined cell...
Automated quantification of drug-induced cell death via vacuolation scoring in microscopic images [0.03%]
基于显微图像中自噬小体评分的药物诱导细胞死亡的量化方法
Navaneeth Krishna S,Sweata Hanson,Divya Nedungadi et al.
Navaneeth Krishna S et al.
Cell death plays a critical role in maintaining cellular homeostasis. The accurate evaluation of cell death is essential to determine the efficacy of a drug. Understanding the extent of cell death helps assess the potency of the chosen drug...
Reproducibility assessment of a published cell shape transition analysis workflow [0.03%]
已发表的细胞形态转变分析工作流程的可重复性评估
Esteban A Miglietta,An-Chi Luo,Agustin A Corbat et al.
Esteban A Miglietta et al.
Image quantification is central to modern biomedical research. However, the reproducibility of image-based studies remains a persistent challenge due to limited access to raw data and incomplete reporting of analysis workflows. To assess th...
Nanoprecipitate characterisation in NiTi and aluminium alloys: A TEM-based overview [0.03%]
镍钛和铝合金中纳米沉淀相的表征：一种基于透射电镜的方法overview
Seyed Aref Golsorkhi,Opemipo Adetan,Melodie Fickenscher et al.
Seyed Aref Golsorkhi et al.
Nanoscale precipitates are central to the functional and mechanical performance of many advanced alloys, yet their characteristics and spatial distributions can be directly resolved only by electron microscopy. In this poster-style article,...
BioImageIT: A novel python-based architecture for reproducible bio-image workflows [0.03%]
基于Python的生物图像工作流程的新型可重复架构BioImageIT
Arthur Masson,Sylvain Prigent,Cesar Augusto Valades-Cruz et al.
Arthur Masson et al.
Recent advances in light microscopy have transformed the scale and complexity of biological imaging data, creating an urgent need for sophisticated computational pipelines capable of extracting meaningful biological insights. However, the c...
In operando imaging of the space-charge region in a 4H-SiC MOSCAP using STEM-EBIC [0.03%]
基于扫描透射电子显微镜阴极发光的4H-SiC金属氧化物半导体电容器空间电荷区域的成像研究
Eoin Moynihan,Arne Renz,Akif Yildirim et al.
Eoin Moynihan et al.
In situ biasing electron microscopy is the necessary step forward in being able to characterise nanoscale devices and device interfaces. STEM-EBIC is a new approach that can help fill the missing gaps in creating reproducible methodologies ...
Mahsa Shakeri,Seyyed Mohammad Hosseini,Nikolas Knowles et al.
Mahsa Shakeri et al.
Dual-energy X-ray absorptiometry (DXA) remains the clinical gold standard for assessing bone mineral density (BMD), guiding diagnosis and therapeutic decisions. However, conventional DXA analysis suffers from several limitations, including ...
Jack Gordon,Kaleah Balcomb,Vinod Maseedupally et al.
Jack Gordon et al.
Ploem's filter cube, central to modern epifluorescence microscopy, integrates three matched optical components: an excitation filter, an emission filter, and a dichroic mirror. Together, these elements enable the separation of excitation an...
The reproducibility gap in graph neural network workflows for cell dynamics: A checklist-driven case study [0.03%]
基于检查表的细胞动力学图神经网络工作流程再现性缺口案例研究
Martin Schätz,Ko Sugawara
Martin Schätz
As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dynamics using structured, community-developed checklists from the Quality Assessment and Re...