Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

blood stratification identification method

An identification method and blood technology, applied in the field of blood identification, can solve problems such as slow measurement speed, human eye injury, and biological safety hazards

Active Publication Date: 2019-01-11
盈开生物科技(上海)有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing methods have the following problems: 1. Due to the need for mechanical movement, the measurement speed is relatively slow
2. The laser will cause damage to the human eye, and there are hidden dangers to biological safety
3. When there is a problem with the device, the operator cannot detect it

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
  • blood stratification identification method
  • blood stratification identification method
  • blood stratification identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] See figure 2 The present invention discloses a method for identifying blood stratification, which includes the following steps:

[0037] [Step S1] Calibrate the sample tube.

[0038] Add liquid with a volume of V1 to the sample tube, measure its first physical height Hphysic1, take a picture of the sample tube at a fixed object distance, set the region of interest ROI on the photo, and record its corresponding position in the image HpictureCalib1 ;

[0039] Perform a calibration every set unit volume, record its physical height Hphysic, and the corresponding position HpictureCalib in the image to form a calibration table;

[0040] [Step S2] Identify the boundary of blood in the sample tube.

[0041] Take a picture of the sample tube at a fixed object distance. There are 2 color change positions in the ROI of the image, such as image 3 Shown. See Figure 4 , Count the sum of the gray values ​​of all pixels at each height of the ROI of the region of interest, the generated curv...

Embodiment 2

[0048] A method for identifying blood stratification, which includes the following steps:

[0049] Step S1: Calibrate the sample tube; do a calibration every set unit volume, and record its physical height and corresponding position in the image;

[0050] Step S2: Identify the boundary of the blood in the sample tube; take a picture of the sample tube at a fixed object distance, and there are 2 color change positions in the ROI of the image; count the gray values ​​of all pixels at each height of the ROI Sum, the generated pixel curve has two cliff-like declines. In the pixel curve diagram, the corresponding sample tube image is found from top to bottom to find the first down jump position, and the pixel curve diagram corresponds to the sample tube image from bottom to bottom. Find the position of the first upward jump on the top, so as to obtain the specific image positions at the two boundaries; the difference between the specific image positions at the two boundaries is the pixe...

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 blood layered identification method, which comprises the steps of: calibrating a sample tube; making a calibration every other set unit volume, recording physical heights of the calibrations and corresponding positions in an image; identifying boundary of blood in the sample tube; and executing a volume calculation step including the processes of calculating volume by adopting a piecewise interpolation algorithm, conducting interpolating calculation when calculating a result according to intervals to which pixel positions belong, acquiring the volume V1 and the pixel position P1 of a first calibration point as well as the volume V2 and the pixel position P2 of a second calibration point from the calibration data, and calculating V3 according to similar triangles when the pixel position of a point to be calculated is P3. The blood layered identification method can utilize 2 or even 4 cameras for shooting 16 samples at one time, and the speed is dozens of times faster than that of laser scanning. By adopting the blood layered identification method, biological safety hazards do not exist, each sample has a picture, and the operator can find out interference easily when encountering the interference.

Description

Technical field [0001] The invention belongs to the technical field of blood recognition, and relates to a blood recognition method, in particular to a blood stratification recognition method. Background technique [0002] Blood is composed of plasma white blood cells and blood cells. Due to the different densities of the three, after centrifugation, it will be divided into 3 layers, see figure 1 Shown. [0003] Human DNA only exists in plasma, so all DNA sequencing only needs to extract plasma. In automated tests, it is necessary to automatically determine the volume of plasma. Since the diameter of the tube is known, the problem can be converted to air and plasma. The height H1 of the stratification and the height H2 of the plasma and white blood cells are determined. [0004] The existing blood stratification recognition usually adopts laser scanning method. The sample tube is grabbed to the measurement position by an automated manipulator, scanned from top to bottom, and H1 and ...

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): G06T7/90G06T7/00
CPCG06T7/0012G06T2207/10004
Inventor 谢仁祥
Owner 盈开生物科技(上海)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products