CN112161910A - Blood cell counting method - Google Patents
Blood cell counting method Download PDFInfo
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- CN112161910A CN112161910A CN202010990603.6A CN202010990603A CN112161910A CN 112161910 A CN112161910 A CN 112161910A CN 202010990603 A CN202010990603 A CN 202010990603A CN 112161910 A CN112161910 A CN 112161910A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004820 blood count Methods 0.000 title claims description 11
- 210000004027 cell Anatomy 0.000 claims abstract description 52
- 210000000601 blood cell Anatomy 0.000 claims abstract description 25
- 210000003743 erythrocyte Anatomy 0.000 claims description 14
- 210000000265 leukocyte Anatomy 0.000 claims description 11
- 210000004369 blood Anatomy 0.000 claims description 9
- 239000008280 blood Substances 0.000 claims description 9
- 210000001772 blood platelet Anatomy 0.000 claims description 8
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 210000003677 hemocyte Anatomy 0.000 description 2
- 229940000351 hemocyte Drugs 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000004698 lymphocyte Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N2015/1006—Investigating individual particles for cytology
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- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The invention provides a method for counting blood cells, which comprises the steps of dividing an area on the whole image as a counting interval, and uniformly dividing the counting interval into N scanning units; then, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of the cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N; and finally, calculating the total number of the cells in the counting interval to be NP, and calculating the total number of the cells in the whole image according to the area ratio of the counting interval to the whole image. According to the invention, only M scanning units are required to be scanned and counted, and then the total number of blood cells contained in the whole image can be obtained through a formula, so that the counting efficiency is obviously improved compared with a full-image scanning counting mode; and M scanning units are selected, so that errors caused by uneven cell distribution can be minimized, and the counting chance of a single scanning unit is reduced.
Description
Technical Field
The invention relates to the field of blood cell classification and counting, in particular to a blood cell counting method.
Background
The hemocyte analyzer is called hemocyte analyzer, blood-ball meter, blood-cell counter, etc. and is one of the widely used instruments for clinical examination in hospital. Besides clinical examination in hospitals, it is widely used in laboratories in the pharmaceutical manufacturing industry. With the development of artificial intelligence technology, blood cell analyzers based on image recognition technology have been on the market, and compared with the traditional mode of identifying through human eyes and counting manually, the efficiency of cell analysis is greatly improved through image recognition technology.
However, the existing cell analyzer still has the problems of repeated counting, inaccurate counting and low efficiency in the actual use process.
In view of the above, a new technical solution is needed to solve the above technical problems.
Disclosure of Invention
The invention aims to provide a blood cell counting method to solve the problems of repeated counting, inaccurate counting and low efficiency in the prior art.
In order to achieve the purpose, the invention adopts the following technical means:
a method of blood cell counting comprising the steps of:
step one, dividing an area on the whole image as a counting interval, and uniformly dividing the counting interval into N scanning units;
step two, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N;
and step three, calculating the total number of the cells in the counting interval to be NP, and then calculating the total number of the cells in the whole image according to the area ratio of the counting interval to the whole image.
As a further refinement, the blood cells comprise red blood cells, white blood cells or platelets.
As a further improvement, when the blood cells are red blood cells or platelets, M < N.
As a further improvement, N is 9 and M is 5.
As a further improvement, when said blood cells are leukocytes, said M ═ N.
As a further improvement, N-M-9.
As a further improvement, 9 scanning units are distributed in a nine-square grid; the preset path is in a bow shape.
As a further improvement, the number of the counting intervals is three, and the counting intervals respectively count red blood cells, white blood cells and platelets.
As a further improvement, the first step further comprises image acquisition of the blood sample with a microscope.
As a further improvement, the method also comprises the step of determining the type of the blood cells.
Compared with the prior art, the invention has the following technical effects:
the blood cell counting method of the invention divides an area on the whole image as a counting interval, and the counting interval is evenly divided into N scanning units; then, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of the cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N; and finally, calculating the total number of the cells in the counting interval to be NP, and calculating the total number of the cells in the whole image according to the area ratio of the counting interval to the whole image.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 shows a flow chart of a blood cell counting method of the present invention;
FIG. 2 is a diagram illustrating the distribution and scan paths of 9 scan count units according to one embodiment of the present invention;
FIG. 3 is a diagram showing the distribution and scanning paths of 9 scan counting units according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
Examples
The embodiment discloses a blood cell counting method, which is applied to the routine three-classification detection occasion of blood, wherein the detection task is to count blood cells contained in a blood sample so as to draw a conclusion about whether the number of the blood cells reaches the standard. The blood cells include any one of platelets, erythrocytes and leukocytes.
Referring to fig. 1, the blood cell counting method includes the following steps:
step S3, dividing an area on the whole image as a counting interval, and uniformly dividing the counting interval into N scanning units;
step S4, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N;
and step S5, calculating the total number of cells in the counting interval to be NP, and calculating the total number of cells in the whole image according to the area ratio of the counting interval to the whole image.
The method comprises the steps of dividing an area on the whole image to serve as a counting interval, and uniformly dividing the counting interval into N scanning units; then, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of the cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N; and finally, calculating the total number of the cells in the counting interval to be NP, and calculating the total number of the cells in the whole image according to the area ratio of the counting interval to the whole image. Therefore, the invention only needs to scan and count the M scanning units in the counting interval, and then the total number of the blood cells contained in the whole image can be obtained through a formula, and compared with a full-image scanning counting mode, the counting efficiency is obviously improved. And M scanning units are selected, so that errors caused by uneven cell distribution can be minimized, the counting haphazardness of a single scanning unit is reduced, and the accuracy of final counting is ensured.
Before step S3, step S1 is further included: collecting the image of the blood sample by using a microscope to obtain an image to be observed; in step S2, the specific type of blood cells is determined by microscopic observation. For example, in one embodiment, the blood cells are red blood cells.
As one of the preferable technical solutions, M < N, for example, N ═ 10, M ═ 6; also, for example, N ═ 20, M ═ 13; and the like.
Preferably, N is 9, M is 5, and 9 of the scanning units are distributed in a nine-grid pattern (as shown in fig. 2), wherein 5 of the grids to be scanned and counted include four grids at the vertices and at the center (as shown by the shaded portion in fig. 2), and the 5 scanning units are selected to exceed half the area of the nine-grid pattern, so as to maximally level errors caused by uneven cell distribution, reduce the count contingency of a single scanning unit, and thus ensure the accuracy of the final count. And 5 of the 9 scanning units are selected as the actual scanning counting units, so that the scanning counting work is further reduced, and the counting efficiency is improved.
Specifically, when scanning and counting are performed, the preset path is in a bow shape (as shown in fig. 2), and after each time the scanning and counting of one grid is completed, the scanning lens sequentially moves to the next grid to be scanned and counted, and the steps are repeated, so that the scanning and counting of the whole counting interval are completed; through experimental comparison, the scanning path of the Chinese character bow is the most efficient scanning mode.
Exemplarily, the red blood cell numbers obtained by 5 scanning units are 133, 135, 137, 131 and 134 respectively, and then the average cell number of each of the 5 scanning units is 134; this is taken as the average density of the distribution of erythrocytes in the counting interval, so that the total number of erythrocytes in the entire counting interval is 134 × 9 — 1206.
Since the ratio of the area of the entire counting section to the area of the entire image was 1:10, the total number of red blood cells included in the entire image was 12060.
It is worth mentioning that the operation mode when the blood cells are platelets is the same as that of the above-mentioned red blood cells, and the case when the blood cells are white blood cells is slightly different because the content (or density) of the white blood cells in the blood is much lower than that of the above-mentioned two blood cells, and therefore, when the white blood cells are counted by the method of the present invention, M ═ N ═ 9 is set, specifically as follows:
the 9 scanning units are still distributed in a squared figure (as shown in fig. 3), and in this embodiment, the 9 scanning units are all units that need to be scanned and counted (as shown by the shaded part in fig. 3). Specifically, during scanning, the preset path is still in a zigzag shape (as shown in fig. 3), and each of the 9 scanning units needs to be scanned and counted.
Exemplarily, the number of leukocytes obtained by 9 scanning units is 2, 3, 5, 4, 3, 2, 3, 4, respectively, and the total number of cells in the counting interval is 29.
Assuming that the ratio of the area of the entire counting section to the area of the entire image is 1:10, the total number of red blood cells included in the entire image is 290.
It should be noted that, the ratio of the area of the whole counting interval to the area of the whole image is a preset value, and may be specifically determined by the following method: the blood sample is dripped into the counting cell of the counting plate and then is observed by microscopic examination, the area of the counting cell is known as A, 1/10 of the area of the counting cell A is used as the area of the counting interval, and the nine-square grid is drawn on the counting plate. Of course, the area ratio of the counting interval to the whole image may also be 1:20, 1:30 or other values.
It should be noted that, in the routine blood detection process, the counting actually counts the concentration of a certain type of blood cells, i.e., the number of cells divided by the corresponding volume. The cell density mentioned in the above examples is the result of dividing the cell number by the corresponding area, so the final result needs to be converted, i.e. divided by a thickness value, and the thickness of the blood sample in the counting chamber is known, so the final result is easier to obtain.
In summary, the blood cell counting method of the present invention defines an area on the whole image as a counting interval, and divides the counting interval into N scanning units; then, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of the cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N; and finally, calculating the total number of the cells in the counting interval to be NP, and calculating the total number of the cells in the whole image according to the area ratio of the counting interval to the whole image. Therefore, the invention only needs to scan and count the M scanning units in the counting interval, and then the total number of the blood cells contained in the whole image can be obtained through a formula, and compared with a full-image scanning counting mode, the counting efficiency is obviously improved. And M scanning units are selected, so that errors caused by uneven cell distribution can be minimized, the counting haphazardness of a single scanning unit is reduced, and the accuracy of final counting is ensured.
It should be noted that the blood cell technique of the present invention can be applied to the case of counting other cells as well, for example, intermediate cells, lymphocytes, etc., and the arrangement of the counting section and the scanning unit is merely adjusted according to the cells.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method of blood cell counting comprising the steps of:
step one, dividing an area on the whole image as a counting interval, and uniformly dividing the counting interval into N scanning units;
step two, scanning and counting M of the N scanning units one by one according to a preset path to obtain the total number of cells of the M scanning units; dividing the total number of the cells by M to obtain the average number of the cells P of each scanning unit, wherein M is less than or equal to N;
and step three, calculating the total number of the cells in the counting interval to be NP, and then calculating the total number of the cells in the whole image according to the area ratio of the counting interval to the whole image.
2. The method of claim 1, wherein the blood cells comprise red blood cells, white blood cells, or platelets.
3. The method of claim 2, wherein M < N when the blood cell is a red blood cell or a platelet.
4. The method of claim 3, wherein said N-9 and said M-5.
5. The method of claim 2, wherein when said blood cells are leukocytes, said M ═ N.
6. The method of claim 5, wherein N-M-9.
7. The method of claim 4 or 6, wherein 9 of the scanning units are distributed in a grid of nine squares; the preset path is in a bow shape.
8. The method of claim 1, wherein the number of counting intervals is three, and the counting is performed for red blood cells, white blood cells, and platelets, respectively.
9. The method of claim 1, wherein step one is preceded by the step of acquiring an image of the blood sample with a microscope.
10. The method of claim 9, further comprising determining the type of blood cell.
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| CN202010990603.6A CN112161910A (en) | 2020-09-19 | 2020-09-19 | Blood cell counting method |
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| CN202010990603.6A CN112161910A (en) | 2020-09-19 | 2020-09-19 | Blood cell counting method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114202534A (en) * | 2021-12-15 | 2022-03-18 | 湖南伊鸿健康科技有限公司 | Cell counting method, cell counting apparatus, electronic device, and computer-readable storage medium |
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