This title appears in the Scientific Report :
2023
Improving the knowledge from in-situ Liquid Phase TEM via image processing
Improving the knowledge from in-situ Liquid Phase TEM via image processing
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-...
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Personal Name(s): | Park, Junbeom (Corresponding author) |
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Sun, Hongyu / Jo, Janghyun / Basak, Shibabrata / Eichel, Rüdiger-A. | |
Contributing Institute: |
Grundlagen der Elektrochemie; IEK-9 |
Imprint: |
2023
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Conference: | The 20th International Microscopy Congress, Busan (South Korea), 2023-09-10 - 2023-09-15 |
Document Type: |
Poster |
Research Program: |
Power-based Fuels and Chemicals |
Publikationsportal JuSER |
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. |