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Imaging of Anti-Cancer Drug Uptake in Spheroids using DLS
Spheroid 3D cell culture models mimic the physiology and functions of living tissues making them a useful tool to study tumor morphology and screen anti-cancer drugs. The drug AZD2014 is a recognized…
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How Artificial Intelligence Enhances Confocal Imaging
In this article, we show how artificial intelligence (AI) can enhance your imaging experiments. Namely, how Dynamic Signal Enhancement powered by Aivia improves image quality while capturing the…
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Benefits of Combining STED and Lifetime
In this interview, Professor Alberto Diaspro talks about the advantages of the White Light Laser and the TauSTED capabilities of STELLARIS 8 STED. He speaks about his experience with the confocal…
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Spectroscopic Evaluation of Red Blood Cells
Hemoglobinopathies are a major healthcare problem. This study presents a possible diagnostic tool for thalassemia which is based on confocal spectroscopy. This approach exploits spectral detection and…
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冷冻光电联用(Cryo-CLEM)之旅
本文主要介绍Cryo-CLEM技术及其为科学家带来的便益。此外,还特别说明了一些相关文献。
近期在冷冻电子显微镜工作流程领域取得的技术进步,让我们能够获取到细胞蛋白质社会学的3D数据,其分辨率更是达到前所未有的1纳米以下。工作流程中有一个步骤,需要从样品获取目标位置纳米级分辨率的图像,而要得到这样的结果,就需要用到冷冻光学显微镜。这种显微镜如果用于低温电子显微镜工作流程,通常就称为Cryo…
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基于荧光寿命的成像图库
共聚焦显微镜技术依赖于荧光探针的有效激发以及由荧光过程所发射的光子的高效收集。荧光特性之一是其发射波长(即荧光团的光谱特征)。另一个更为强大但尚未充分探索的特性是荧光寿命(荧光团在激发态的持续时间)。基于荧光寿命的信息增加了共聚焦实验的一个额外维度,能够揭示荧光团微环境的信息,并允许对光谱特性相重叠的物种进行多重分析。
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Visualizing Protein Degradation and Aggregation in the Living Cell
Our guest speaker, Prof Dr Eric Reits, presents his work on neurodegenerative disorders. Reits’ group are experts on the subject of Huntington’s disease and work towards identifying leads for…
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Life Beyond the Pixels: Deep Learning Methods for Single Cell Analysis
Our guest speaker Prof Dr Peter Horvath presents his work on single cell-based large-scale microscopy experiments. This novel targeting approach includes the use of machine learning models and…
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活细胞成像图库
活细胞显微镜技术是更好地了解细胞和分子功能的基础。如今,宽场显微镜是用于长时间观察细胞动态和发育的最常用技术。共聚焦显微镜也是一种重要工具,可生成三维结构图像,并以高空间和时间分辨率研究高度动态的细胞过程,同时使标本保持接近原生状态。