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公开(公告)号:US20220283094A1
公开(公告)日:2022-09-08
申请号:US17631061
申请日:2019-07-31
Inventor: Toshiro SAITO , Kyoko IMAI , Francesco PAOLUCCI , Massimo MARCACCIO , Giovanni VALENTI , Alessandra ZANUT , Michaela WINDFUHR , Hans-Peter JOSEL
IPC: G01N21/66 , G01N33/543 , B01L3/00
Abstract: An analysis method includes: an inflow process of a solution containing a test object, a magnetic support on the surface of which a complex including an antibody labeled with a luminescent agent and recognizes the test object is formed, and a reaction aid to assist reaction of the luminescent agent in a flow cell; a process of capturing the magnetic support over a working electrode by a magnetic field; a process of making the luminescent agent illuminate by applying a voltage to the working electrode; and a process of measuring an amount of luminescence of the luminescent agent. The luminescent process includes: luminescence from action of a first neutral radical, produced from the reaction aid through a cation radical; and luminescence from action of a second neutral radical, produced not through a cation radical, on the luminescent agent. This increases the luminous efficiency of ECL and enhances detection sensitivity.
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公开(公告)号:US20210269847A1
公开(公告)日:2021-09-02
申请号:US17255312
申请日:2019-03-14
Applicant: Hitachi High-Tech Corporation , IHU Mediterranee Infection
Inventor: Shigeki MATSUBARA , Yuusuke OOMINAMI , Kyoko IMAI , Takashi IRIE , Didier RAOULT , Jacques BOU KHALIL
Abstract: The purpose of this invention is to provide an inspection method which enables us to judge a microbe's chemical susceptibility quickly, versatile and cheap.
The inspection method of this invention's one aspect comprises a step for judging the chemical susceptibility to the antimicrobial of the microbe based on appearance-changing of the observed microbe. The step for judging may judge the chemical susceptibility by obtaining a feature of the plurality of images in the database regarding a plurality of images of microbes which have already been confirmed that they are resistant microbes and a plurality of images of microbes which have already been confirmed that they have susceptibility to an antimicrobial by machine learning and by comparing the images of the microbes with the images in the database based on the feature. Furthermore, the step for judging may judge the chemical susceptibility based on an abundance ratio of the microbe whose appearance changed out of the microbe in the field.
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