Author

T. Nishino

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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Ecology· 2 Bioengineering· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

H. Mukai· 2 shared M. Manano· 2 shared Y. Iwahara· 2 shared Y. Shibata· 2 shared A. Ishihara· 1 shared A. Kanaya· 1 shared D. Bolidong· 1 shared H. Yaemori· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersMicrobiology

H. Mukai

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Defensive fungal symbiosis on insect hindlegs

T. Nishino, H. Mukai, M. Moriyama, T. Hosokawa, M. Tanahashi, S. Tachikawa, N. Nikoh, R. Koga, T. Fukatsu

The paper identifies a novel defensive fungal symbiosis in stinkbugs where females transfer fungi to eggs to protect them from wasp parasitism.

bioRxiv · Mar 25, 2024 · PreprintMicrobiology

Effects of input image size on the accuracy of fish identification using deep learning.

Y. Iwahara, Y. Shibata, M. Manano, T. Nishino, R. Kariya, H. Yaemori

This study evaluates how varying input image sizes affects fish species identification accuracy using deep learning, finding that larger images improve accuracy, especially for underperforming species.

bioRxiv · Mar 1, 2024 · PreprintEcology

Surface-engineered extracellular vesicles to modulate antigen-specific T cell expansion for cancer immunotherapy

X. Lyu, T. Yamano, S. Imai, T. V. Le, D. Bolidong, M. Ueda, S. Warashina, H. Mukai, S. Hayashi, K. Matoba, T. Nishino, R. Hanayama

The paper develops antigen-presenting extracellular vesicles (AP-EVs) engineered to enhance T cell expansion and anticancer immunity through combined immunotherapy.

bioRxiv · Sep 25, 2023 · PreprintBioengineering

Length estimation of fish detected as non-occluded using a smartphone application and deep learning techniques

Y. Shibata, Y. Iwahara, M. Manano, A. Kanaya, R. Sone, S. Tamura, N. Kakuta, T. Nishino, A. Ishihara, S. Kugai

This paper proposes a deep learning method to estimate fish length from images using a smartphone app, achieving less than 3% bias across five species.

bioRxiv · Mar 12, 2023 · PreprintEcology