SAMPLE QUALITY DETERMINING METHOD USING FLUORESCENT IMAGE, PROGRAM, AND DEVICE

Title:

SAMPLE QUALITY DETERMINING METHOD USING FLUORESCENT IMAGE, PROGRAM, AND DEVICE

Document Type and Number:

WIPO Patent Application WO/2020/158107

Kind Code:

A1

Abstract:

The purpose is to accurately and efficiently determine the quality of a sample taking fluorescence fading into account.　Provided is a sample quality determination method using a fluorescent image, the method comprising a fluorescent image data acquiring step (S01), a machine learning step (S02), and a quality classification determining step (S03), wherein, in step S01, a point in time when a fluorescent image is acquired is set within a predetermined period P (P > 0) from a point in time T (T ≥ 0) set by using start of emission of excitation light as a start point and taking fluorescence fading into account.

Inventors:

NAITO HIROTAKA (JP)
TSUTA MIZUKI (JP)

Application Number:

PCT/JP2019/044487

Publication Date:

August 06, 2020

Filing Date:

November 13, 2019

Export Citation:

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Assignee:

JAPAN TOBACCO INC (JP)
NAT AGRICULTURE & FOOD RES ORG (JP)

International Classes:

G01N21/64

Domestic Patent References:

WO2018173073A1

2018-09-27

Foreign References:

CN103914841A	2014-07-09
CN106546569A	2017-03-29

Other References:

SMITH JASON T., YAO RUOYANG, SINSUEBPHON NATTAWUT, RUDKOUSKAYA ALENA, MAZURKIEWICZ JOSEPH, BARROSO MARGARIDA, YAN PINGKUN, INTES X: "Ultra-fast fit-free analysis of complex fluorescence lifetime imaging via deep learning", BIORXIV, 17 January 2019 (2019-01-17), pages 1 - 15, XP055727054, Retrieved from the Internet [retrieved on 20191220]
NAITO ET AL.: "RAPID MEASUREMENT OF PHYTOCHEMICALS IN TOBACCO LEAVES USING FLUORESCENT FINGERPRINT ANALYSIS", 72ND TOBACCO SCIENCE RESEARCH CONFERENCE PRESENTATION SLIDES, 18 September 2018 (2018-09-18), pages 1 - 14