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  1. 原著論文

Solid-State Nanopore Platform Integrated with Machine Learning for Digital Diagnosis of Virus Infection

https://repo.qst.go.jp/records/84223
https://repo.qst.go.jp/records/84223
13bc57cc-76ce-4208-8c40-62d1c79283a2
Item type 学術雑誌論文 / Journal Article(1)
公開日 2021-09-29
タイトル
タイトル Solid-State Nanopore Platform Integrated with Machine Learning for Digital Diagnosis of Virus Infection
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Arima, Akihide

× Arima, Akihide

WEKO 1017405

Arima, Akihide

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Tsutsui, Makusu

× Tsutsui, Makusu

WEKO 1017406

Tsutsui, Makusu

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Washio, Takashi

× Washio, Takashi

WEKO 1017407

Washio, Takashi

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Yoshinobu, Baba

× Yoshinobu, Baba

WEKO 1017408

Yoshinobu, Baba

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Kawai, Tomoji

× Kawai, Tomoji

WEKO 1017409

Kawai, Tomoji

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Yoshinobu, Baba

× Yoshinobu, Baba

WEKO 1017410

en Yoshinobu, Baba

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内容記述タイプ Abstract
内容記述 The history of viruses in human society can never be taught
without the history of detection and treatment. As an
ancient example, Egyptian mummies have been found to have
scars from smallpox infection.1 There have been various viral
pandemics; however, the first virus to be discovered was tobacco
mosaic virus (TMV) in 1892.2 Russian microbiologist D. I.
Ivanovsky found an infectious agent in the extraction liquid of
tobacco plants passed through a Chamberland filter, which
filtered out bacteria. The technology of the day could not detect
this mysterious factor, and observation had to await the
development of scanning electron microscopy (SEM). To
date, various techniques have revealed the structure and
properties of numerous virus species.
書誌情報 Analytical Chemistry

巻 93, 号 1, p. 215-227, 発行日 2020-11
出版者
出版者 ACS
ISSN
収録物識別子タイプ ISSN
収録物識別子 0003-2700
DOI
識別子タイプ DOI
関連識別子 10.1021/acs.analchem.0c04353
関連サイト
識別子タイプ URI
関連識別子 https://pubs.acs.org/doi/abs/10.1021/acs.analchem.0c04353
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