Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Mary Inaba"'
Autor:
Nao Nitta, Takanori Iino, Akihiro Isozaki, Mai Yamagishi, Yasutaka Kitahama, Shinya Sakuma, Yuta Suzuki, Hiroshi Tezuka, Minoru Oikawa, Fumihito Arai, Takuya Asai, Dinghuan Deng, Hideya Fukuzawa, Misa Hase, Tomohisa Hasunuma, Takeshi Hayakawa, Kei Hiraki, Kotaro Hiramatsu, Yu Hoshino, Mary Inaba, Yuki Inoue, Takuro Ito, Masataka Kajikawa, Hiroshi Karakawa, Yusuke Kasai, Yuichi Kato, Hirofumi Kobayashi, Cheng Lei, Satoshi Matsusaka, Hideharu Mikami, Atsuhiro Nakagawa, Keiji Numata, Tadataka Ota, Takeichiro Sekiya, Kiyotaka Shiba, Yoshitaka Shirasaki, Nobutake Suzuki, Shunji Tanaka, Shunnosuke Ueno, Hiroshi Watarai, Takashi Yamano, Masayuki Yazawa, Yusuke Yonamine, Dino Di Carlo, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Keisuke Goda
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Most current cell sorting methods are based on fluorescence detection with no imaging capability. Here the authors generate and use Raman image-activated cell sorting with a throughput of around 100 events per second, providing molecular images with
Externí odkaz:
https://doaj.org/article/02b0d5e6a65b4b81bf87a4cb06c904e6
Autor:
Seongsoo Moon, Mary Inaba
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 8:56-63
Most state-of-the-art satisfiability (SAT) solvers are capable of solving large application instances with efficient branching heuristics. The VSIDS heuristic is widely used because of its robustness. This paper focuses on the inherent ties in VSIDS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60e2daec58398517dc177a9a27b5d59
https://doi.org/10.1609/socs.v8i1.18422
https://doi.org/10.1609/socs.v8i1.18422
Autor:
Takeshi Hayakawa, Yu Hoshino, Shunnosuke Ueno, Yusuke Kasai, Hiroshi Karakawa, Minoru Oikawa, Yuki Inoue, Dino Di Carlo, Shunji Tanaka, Takanori Iino, Yuichi Kato, Yuta Suzuki, Mary Inaba, Yasuyuki Ozeki, Cheng Lei, Hiroshi Tezuka, Kotaro Hiramatsu, Takeaki Sugimura, Takashi Yamano, Yasutaka Kitahama, Kei Hiraki, Hideya Fukuzawa, Takuya Asai, Hideharu Mikami, Atsuhiro Nakagawa, Yoichiroh Hosokawa, Fumihito Arai, Misa Hase, Yusuke Yonamine, Keisuke Goda, Akihiro Isozaki, Tadataka Ota, Satoshi Matsusaka, Hirofumi Kobayashi, Takuro Ito, Yoshitaka Shirasaki, Takeichiro Sekiya, Hiroshi Watarai, Nao Nitta, Dinghuan Deng, Nobutake Suzuki, Mai Yamagishi, Tomohisa Hasunuma, Sotaro Uemura, Shinya Sakuma, Kiyotaka Shiba, Masayuki Yazawa, Masataka Kajikawa, Keiji Numata
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Nature Communications
Nature Communications
The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70268f8fa2f09d1a1fd58373ec50b17d
http://link.springer.com/article/10.1038/s41467-020-17285-3
http://link.springer.com/article/10.1038/s41467-020-17285-3
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031208614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2e631d75baa54abdec20a0e6cb37eda
https://doi.org/10.1007/978-3-031-20862-1_5
https://doi.org/10.1007/978-3-031-20862-1_5
Autor:
Koya Kobayashi, Keisuke Goda, Cheng Lei, Yasuyuki Ozeki, Kiyotaka Shiba, Yasuhiro Fujiwaki, Yaxiaer Yalikun, Takuro Ito, Chun-Jung Huang, Misa Hase, Chia-Wei Sun, Yuta Suzuki, Shunji Tanaka, Satoshi Matsusaka, Hanqin Liu, Yusuke Kasai, Fumihito Arai, Kenichi Koizumi, Nao Nitta, Hiroshi Tezuka, Akihiro Isozaki, Takeaki Sugimura, Shinya Sakuma, Masahiro Jona, Yoshifumi Wakisaka, Yutaka Yatomi, Dinghuan Deng, Kanako Suga, Takeshi Hayakawa, Mary Inaba, Sangwook Lee, Yo Tanaka, Kei Hiraki, Masako Nishikawa
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Imaging flow cytometry is a powerful tool for analyzing every single cell in a large heterogeneous population but relies on fluorescent labeling, which comes with cytotoxicity, nonspecific binding, and interference with natural cellular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8491d7b9b73b45c7a5931c9e3a67c7c
http://europepmc.org/articles/PMC6690022
http://europepmc.org/articles/PMC6690022
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030197377
CORES
CORES
In this study, we propose a Multi-abstraction-level Feature extractor with a Bayesian network (MFB) that can output intermediate patterns as feature values and can be shared across different abstraction level classifiers. To leverage the patterns fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27251b3b5d30d2ba9744e4f59380f14d
https://doi.org/10.1007/978-3-030-19738-4_8
https://doi.org/10.1007/978-3-030-19738-4_8
Publikováno v:
International Journal of Computer and Electrical Engineering. 8:207-218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a43e8957b9e506aec4a0cbe935167b
https://doi.org/10.17706/ijcee.2016.8.3.207-218
https://doi.org/10.17706/ijcee.2016.8.3.207-218
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
High-throughput label-free single cell screening technology has been studied for noninvasive analysis of various kinds of cells. We tackle the cell identification task in the cell sorting system as a continuous skyline computation. Skyline Computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1705b615de219d3826d80ffaaa4e9a28
https://doi.org/10.1609/aaai.v32i1.12134
https://doi.org/10.1609/aaai.v32i1.12134
Autor:
Kaneharu Nishino, Mary Inaba
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
Inspired by the Bayesian brain hypothesis and deep learning, we develop a Bayesian autoencoder, a method of constructing recognition systems using a Bayesian network. We construct hierarchical Bayesian networks based on feature extraction and impleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c004c107aadd725aa708bb9e70d6abf
https://doi.org/10.1609/aaai.v32i1.12191
https://doi.org/10.1609/aaai.v32i1.12191
Publikováno v:
High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management.
Skyline computation is a method of extracting interesting entries from a large population with multiple attributes. These entries, called skyline or Pareto optimal entries, are known to have extreme characteristics that cannot be found by outlier det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adb1f26c04be4500f3bb22408ccdc449
https://doi.org/10.1117/12.2288156
https://doi.org/10.1117/12.2288156