in situ imaging
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Talanta ◽  
2022 ◽  
Vol 239 ◽  
pp. 123129
Author(s):  
Zihan Song ◽  
Yun Zhou ◽  
Minzhe Shen ◽  
Dong Zhao ◽  
Haihong Hu ◽  
...  

2022 ◽  
Vol 93 (1) ◽  
pp. 013703
Author(s):  
Guang Yang ◽  
Halil Tetik ◽  
Johanna Nelson Weker ◽  
Xianghui Xiao ◽  
Shuting Lei ◽  
...  

2022 ◽  
Author(s):  
Xiaofeng Wu ◽  
Rui Wang ◽  
Nahyun Kwon ◽  
Huimin Ma ◽  
Juyoung Yoon

This tutorial review provides an overview of activatable fluorescent probes for in situ imaging of enzymes, including design strategies, sensing mechanisms, and bioapplications.


2021 ◽  
Author(s):  
Xin Zhang ◽  
Alan S. Lea ◽  
Anne M. Chaka ◽  
John S. Loring ◽  
Sebastian T. Mergelsberg ◽  
...  

Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7240
Author(s):  
Christopher Arnold ◽  
Christoph Breuning ◽  
Carolin Körner

The current study evaluates the capabilities of electron-optical (ELO) in situ imaging with respect to monitoring and prediction of manufacturing precision in electron beam powder bed fusion. Post-process X-ray computed tomography of two different as-built parts is used to quantitatively evaluate the accuracy and limitations of ELO imaging. Additionally, a thermodynamic simulation is performed to improve the understanding of ELO data and to assess the feasibility of predicting dimensional accuracy numerically. It is demonstrated that ELO imaging captures the molten layers accurately (deviations <100 μm) and indicates the creation of surface roughness. However, some geometrical features of the as-built parts exhibit local inaccuracies associated with thermal stress-induced deformation (deviations up to 500 μm) which cannot be captured by ELO imaging. It is shown that the comparison between in situ and post-process data enables a quantification of these effects which might provide the possibility for developing effective countermeasures in the future.


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