% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Park:1020367,
      author       = {Park, Junbeom and Sun, Hongyu and Jo, Janghyun and Basak,
                      Shibabrata and Eichel, Rüdiger-A.},
      title        = {{I}mproving the knowledge from in-situ {L}iquid {P}hase
                      {TEM} via image processing},
      reportid     = {FZJ-2024-00100},
      year         = {2023},
      abstract     = {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.},
      month         = {Sep},
      date          = {2023-09-10},
      organization  = {The 20th International Microscopy
                       Congress, Busan (South Korea), 10 Sep
                       2023 - 15 Sep 2023},
      subtyp        = {After Call},
      cin          = {IEK-9},
      cid          = {I:(DE-Juel1)IEK-9-20110218},
      pnm          = {1232 - Power-based Fuels and Chemicals (POF4-123)},
      pid          = {G:(DE-HGF)POF4-1232},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1020367},
}