Electrochemical devices play a vital role in achieving carbon neutrality by facilitating green energy conversion and storage. Neutron imaging has emerged as a powerful tool for investigating these devices, offering spatially resolved information on reactant and product distributions. The unique properties of neutrons make them particularly well-suited for studying elements like hydrogen and lithium in electrochemical systems. While neutron imaging provides valuable insights, challenges such as limited neutron flux lead to longer exposure times, impacting the temporal resolution required for studying thin layers in electrochemical devices. Additionally, existing software tools like Mantid and ImageJ are not tailored for handling time-series neutron images of electrochemical systems, necessitating a need for specialized software development. Despite the advancements in neutron imaging techniques, addressing imaging artifacts and developing dedicated software remain essential for ensuring data integrity and enhancing research outcomes in the field. By overcoming these challenges, researchers can further improve the understanding of mass and heat transport in electrochemical devices, ultimately leading to enhanced performance and durability of green energy technologies.