Author

H. Joo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1

Frequent Co-Authors

S. Park· 2 shared Y. Jo· 2 shared Y. Park· 2 shared D. Ryu· 1 shared E. Zakhem· 1 shared G. B. Kim· 1 shared G. Kim· 1 shared G.-H. Nam· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBioengineering

S. Park

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Dual-mode action of scalable, high-quality engineered stem cell-derived SIRPα-extracellular vesicles for treating acute liver failure

S. Kim, Y. K. Kim, S. Kim, Y.-S. Choi, I. Lee, H. Joo, J. Kim, M. Kwon, S. Park, M. K. Jo, Y. Choi, T. D'Souza, J. W. Jung, E. Zakhem, S. Lenzini, , I.-S. Kim

This paper develops SIRPα-expressing extracellular vesicles from engineered stem cells to treat acute liver failure by resolving necroptosis and promoting liver regeneration, showing reduced liver damage and improved survival in models.

bioRxiv · May 24, 2024Bioengineering

Data-driven multiplexed microtomography of endogenous subcellular dynamics

Y. Jo, H. Cho, W. S. Park, G. Kim, D. Ryu, Y. S. Kim, M. Lee, H. Joo, H. Jo, S. Lee, H.-s. Min, W. D. Heo, Y. Park

This paper introduces a data-driven method for multiplexed microtomography using refractive index imaging to study endogenous subcellular dynamics without exogenous labels.

bioRxiv · Sep 16, 2020Bioengineering

Holographic deep learning for rapid optical screening of anthrax spores

Y. Jo, S. Park, J. Jung, J. Yoon, H. Joo, M.-h. Kim, S.-J. Jo, M. C. Choi, S. Y. Lee, Y. Park

This paper develops a deep learning method using holographic microscopy to rapidly and accurately classify anthrax spores and other pathogens.

bioRxiv · Feb 16, 2017Microbiology