A sweet solution detection method based on cell image recognition

A detection method and image recognition technology, applied in the field of sweet solution detection based on cell image recognition, can solve the problems of repeatability limitations, repeatability and accuracy limitations, inconvenient operation of instruments, etc., to eliminate interference factors , reduce interference, and detect time-effective effects

Active Publication Date: 2022-08-05
ZHEJIANG FORESTRY UNIVERSITY
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the patch clamp method can detect the ion channel response signals of single cells, the instrument is inconvenient to use and can only be used in the laboratory
Although the bionic taste detection technology can realize the classification of taste substances to a certain extent, its repeatability and accuracy are limited.
Although the electrochemical cell sensor method can achieve the detection target of taste substances to a certain extent, its repeatability is also limited.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A sweet solution detection method based on cell image recognition
  • A sweet solution detection method based on cell image recognition
  • A sweet solution detection method based on cell image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0056] Embodiment: A kind of sweet solution detection method based on cell image recognition of this embodiment, such as figure 1 shown, including the following steps:

[0057] S1: Take N drops of the sweet solution to be tested, and drop them on the taste receptor cells in turn for stimulation, and each time the taste receptor cells are stimulated to obtain the corresponding measurement signal KC1 and measurement signal KC2;

[0058] The methods for collecting the measurement signal KC1 and the measurement signal KC2 after each time the sweet taste solution to be tested is dropped onto the taste receptor cells are as follows:

[0059] S11: Extract the cell area A′, cell perimeter PS, cell eccentricity ECR, cell roundness RCR of taste receptor cells, and calculate cell morphological characteristic factors

[0060] Area A'=∑f(x, y), that is, count the number of pixels that satisfy the condition f(x, y)=1;

[0061] The perimeter PS: is the sum of all pixels occupied by the c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a sweet solution detection method based on cell image recognition. It includes the following steps: take N drops of the sweet solution to be tested, drop them on the taste receptor cells for stimulation in turn, and stimulate the taste receptor cells each time to obtain a corresponding measurement signal KC1; take N measurement signals KC1 as input data KC1 ( t) Input a layer of nonlinear dynamics model, draw the signal-to-noise ratio SNR curve, find the abscissa value of the characteristic peak in the signal-to-noise ratio SNR curve, and judge which sweet solution to be tested belongs to according to the abscissa value of the characteristic peak a sweet solution. The invention utilizes the cell imaging method without contact with the tested cells, greatly reduces the interference caused by the outside world, eliminates the interference factors affecting the instantaneous physiological state of the cells, and has fast detection time and high detection accuracy.

Description

technical field [0001] The invention relates to the technical field of solution detection, in particular to a sweet solution detection method based on cell image recognition. Background technique [0002] Taste cell sensor is a kind of cell sensor. It uses taste receptor cells as molecular recognition elements, which can determine the existence and concentration of certain taste types (such as sweet, bitter, salty, sour, etc.), so as to achieve Qualitative and quantitative test analysis, and the extent of real-time, fast and non-destructive intelligent inspection. [0003] The current detection methods include patch clamp method, bionic taste detection method, electrochemical cell sensor method. Although the patch clamp method can detect the ion channel response signal of single cells, its instrument is inconvenient to use and can only be used in the laboratory. Although bionic taste detection technology can achieve the classification of taste substances to a certain exten...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84G01N1/28
CPCG01N21/84G01N1/28
Inventor 刘怡周炜翔方旭东毛欣怡张飞翔朱博威阮肖镕惠国华郜园园
Owner ZHEJIANG FORESTRY UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap