| ZFIN ID: ZDB-PERS-230606-1 |
Eom, Minho
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BIOGRAPHY AND RESEARCH INTERESTS
Minho Eom is a graduate student enrolled in the School of Electrical Engineering at KAIST. He is currently a researcher at the Neuro-Instrumentation & Computational Analysis (NICA) lab, where he conducts cutting-edge research in the field of computational neuroscience. Minho's primary objective is to unravel the intricate mechanisms underlying various brain functions. His research interests encompass a wide range of areas, including computational analysis of neuronal data, processing of neuronal images, and the development of innovative neuro-instruments.
Minho's academic journey began at KAIST, where he earned his Bachelor's degrees in Computer Science and Electrical Engineering in 2021. Building on his solid foundation, he continued his pursuit of knowledge by pursuing a Master's degree in Electrical Engineering at KAIST, which he successfully completed in 2023.
With a genuine passion for pushing the boundaries of understanding in neuroscience, Minho Eom is actively contributing to the field through his groundbreaking research and commitment to excellence.
Minho's academic journey began at KAIST, where he earned his Bachelor's degrees in Computer Science and Electrical Engineering in 2021. Building on his solid foundation, he continued his pursuit of knowledge by pursuing a Master's degree in Electrical Engineering at KAIST, which he successfully completed in 2023.
With a genuine passion for pushing the boundaries of understanding in neuroscience, Minho Eom is actively contributing to the field through his groundbreaking research and commitment to excellence.
PUBLICATIONS
NON-ZEBRAFISH PUBLICATIONS
Cho, E.S., Han, S., Kim, G., Eom, M., Lee, K.H., Kim, C.H. and Yoon, Y.G., 2023. In vivo whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy. JoVE (Journal of Visualized Experiments), (194), p.e65218.
Eom, M., Han, S., Kim, G., Cho, E. S., Sim, J., Park, P., ... & Yoon, Y. G. (2022). Statistically unbiased prediction enables accurate denoising of voltage imaging data. bioRxiv, 2022-11.
Sim, J., Park, C. E., Cho, I., Min, K., Eom, M., Han, S., ... & Chang, J. B. (2021). Nanoscale resolution imaging of the whole mouse embryos and larval zebrafish using expansion microscopy. bioRxiv, 2021-05.