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001     1020367
005     20240709082049.0
037 _ _ |a FZJ-2024-00100
100 1 _ |a Park, Junbeom
|0 P:(DE-Juel1)180853
|b 0
|e Corresponding author
111 2 _ |a The 20th International Microscopy Congress
|g IMC20
|c Busan
|d 2023-09-10 - 2023-09-15
|w South Korea
245 _ _ |a Improving the knowledge from in-situ Liquid Phase TEM via image processing
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
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336 7 _ |a Output Types/Conference Poster
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520 _ _ |a In-situ liquid-phase transmission electron microscopy (LPTEM) allows us to observe solid-liquid interaction at the nanoscale. With the advent of MEMS-based liquid cells, LPTEM has become even more flexible in applying various stimuli, such as electrochemical biasing and heating, to perform (electro-)chemical studies. The use of LPTEM has already shaded light into nanoscale processes such as nucleation and growth during electrodeposition [1,2]. These processes are crucial for many applications, such as battery technology, and understanding them can lead to significant improvements in device performance.To extract quantifiable information from the acquired image sets, image processing has become an integral part of the LPTEM technique. For example, the correct background subtraction enables us to extract actual information from an area with uneven liquid thickness. This process can be critical for understanding the true nature of the observed processes. Moreover, segmentation of features from the background enables us to track the mechanism quantitatively. This approach is essential for understanding the complex dynamics of the processes that occur at the nanoscale. Additionally, extracting the 3-dimensional deposition profile from a simple HAADF STEM dataset can provide vital information on the deposition process. The quantitative information obtained due to the integration of image processing into LPTEM can be crucial for developing better (electro-)chemical systems and understanding the complex dynamics that occur at the nanoscale.
536 _ _ |a 1232 - Power-based Fuels and Chemicals (POF4-123)
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700 1 _ |a Sun, Hongyu
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Jo, Janghyun
|0 P:(DE-Juel1)180678
|b 2
700 1 _ |a Basak, Shibabrata
|0 P:(DE-Juel1)180432
|b 3
700 1 _ |a Eichel, Rüdiger-A.
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
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913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
|1 G:(DE-HGF)POF4-120
|0 G:(DE-HGF)POF4-123
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|v Chemische Energieträger
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914 1 _ |y 2023
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-9-20110218
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|l Grundlagen der Elektrochemie
|x 0
980 _ _ |a poster
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980 _ _ |a I:(DE-Juel1)IEK-9-20110218
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IET-1-20110218

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