JPH11132932A - System for classifying particle image on organism and method for reclassifying particle - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable the efficient processing of particle images or an efficient classification of particles by selecting and specifying a sample from a displayed sample list and displaying a particle image in a classification corresponding to the selected display. SOLUTION: This classification system is formed of a particle image automatic classifying device 1, a particle image classifying device 2 to reclassify automatically classified particle images and to classify not automatically classified particle images through the use of a display screen, and a server 12. A urine sample flowing from a flow cell 3 is irradiated with pulsed light from a flash lamp 4 and is converted into an image signal by a CCD camera 5. The characteristics of particles such as area, circumferential length, average concentration are detected, and particle images are classified by an image processing part 6 and are stored in the server 12. The particle images stored in the server 12 specifies the sample on a display 13, and the reclassification of particle images or highly accurate classifying operation is performed in a window through the use of the particle images displayed on the display 13.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a particle image classification system for a living body suitable for image processing or reclassification of sediment components contained in urine and the like.

[0002]

2. Description of the Related Art Particles contained in urine, for example, various sediment components such as blood cells and tissue cells are closely related to human health. Analyzing the sediment component is one of the important test items in conducting a clinical test.

In a conventional urine sediment analysis method, first, urine is centrifuged to separate urine from sediment components. The separated sediment component was stained, a specimen was prepared on a slide glass, and a laboratory technician performed inspection and classification while observing with a microscope.

[0004] Urinary sediment components are classified according to characteristics such as shape and stainability, but classification is extremely difficult because the same component shows various shapes.

[0005] For this reason, sediment components having a typical shape are classified correctly, but other sediment components are difficult to classify.

In order to solve such problems, an automatic analyzer and an automatic analysis method for automatically classifying particles contained in urine have been developed in recent years.

Among the above-described automatic analyzers and automatic classification methods, examples of performing image processing of particles on a screen are disclosed in JP-A-8-29317 and JP-A-9-91430. Is mentioned.

Japanese Patent Application Laid-Open No. 8-29317 discloses that the items to be re-sorted are set in advance on the re-sorting item setting screen, and then the re-sorting is performed by switching from the re-sorting item setting screen to the particle image display screen. It is described that the particle image of the classification item is displayed on the screen, the particle image to be re-classified is touched, and the classification item provided at the bottom of the particle image display screen is touched to perform the re-classification of the particle. I have.

Japanese Patent Application Laid-Open No. 9-91430 discloses that
Recognizes the automatically classified particle images, stores only the highly reliable particle images and the recognition results in the storage device, displays the particle images and the recognition results on the screen as necessary, and displays the displayed recognition. If the result is incorrect, it is described that the operator re-classifies the particles by correcting the recognition result using the keyboard while viewing the displayed particle image, and stores the re-classification result in the storage device. I have.

[0010]

However, in the above-mentioned prior art, the operation is still complicated, and it is desirable to further improve the efficiency of the classification operation.

An object of the present invention is to provide an inspection system for urine and the like that can efficiently perform particle image processing or particle classification.

[0012]

According to one aspect of the present invention, a first display (sample list icon) indicating a display function of a sample list is displayed, and the displayed first display is displayed. A step of displaying a sample list based on the selection; a step of selecting the sample from the displayed list to specify the selected sample; and a plurality of second images respectively corresponding to a plurality of classifications of the particle image. Displaying a display (classification icon); and selecting a particle image of the specified sample based on selecting one of the plurality of second displays, and corresponding to the selected second display. The problem is solved by a particle image classification system for a living body, wherein a particle image of the classification is displayed.

According to another aspect of the present invention, there is provided a particle image classification system relating to a living body, which processes an image of particles contained in urine or the like using a display screen, wherein a plurality of windows are displayed on the display screen. This is a method for more efficiently classifying the particle images by processing the particle images between the plurality of windows.

According to another aspect of the present invention, there is provided a particle image automatic classification apparatus for automatically classifying an image of particles contained in urine and the like, and a particle for reclassifying a classified particle image using a display screen. In the particle image classification system for a living body having an image classification unit, a plurality of windows are displayed on the screen of the display, and particles are classified among the plurality of windows by a classification method including the following steps.

(A) a step of selecting a sample from a sample list and displaying sample data on the screen of the display; (b) a step of selecting a particle icon and displaying a sub-classification item; (D) displaying an image window of particles classified into the selected sub-category item and selecting an image of particles to be classified;
(E) Specifying an image of the particle and specifying an icon of the particle to be classified, whereby the particle is classified into the classification item indicated by the icon.

In another aspect of the present invention, there is provided a method for classifying particles between a plurality of windows displayed on a screen of a display, comprising the following steps.

(A) selecting an image of particles to be classified from an image window of particles displayed on the screen of the display; (b) displaying an image of the selected particles and displaying a menu screen; (C) selecting a sub-classification item from the menu screen, displaying the sub-classification item, and selecting the sub-classification item to be classified;
(D) specifying an image of the selected particle and specifying the selected sub-category item.

[0018]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of the present invention will be described with reference to the accompanying drawings. In each of the drawings, the same components are denoted by the same reference numerals, and redundant description will be omitted.

(Embodiment 1) FIG. 1 is a diagram showing a configuration of a particle image classification system according to an embodiment of the present invention.

In FIG. 1, the particle image classification system uses a particle image automatic classification device 1 for automatically classifying particle images, and a display screen for re-classification of automatically classified particle images and classification of particle images not automatically classified. The particle image classification device 2 and the server 12 are configured by performing the particle image automatic classification device 1, the particle image classification device 2, and the server 12.
It is connected by a bus 9. Particle image automatic classification device 1
Is composed of a flow cell 3, a flash lamp 4, a CCD camera 5, an image processing unit 6, an image memory 7, and a lamp control unit 8. The particle image classification device 2 includes a data storage unit 10, And a processing unit 11. The image processing section 11 includes a display 13, a main body 14 having a CPU, a mouse 15, and a keyboard 16. The display 13 can be a CRT display, a liquid crystal display, a plasma display, or the like.

Next, the operation of the particle image classification system according to one embodiment of the present invention will be described.

First, the urine sample flowing through the flow cell 3 is irradiated with pulse light from the flash lamp 4 and converted into an image signal by the CCD camera 5.

The image processing unit 6 detects features such as the area, perimeter, and average density of particles from the image signal, and classifies the particle images. The classified particles are stored in the image memory 7. After the classification of the particle images is completed, the classified particles are transferred to the server 12 via the bus 9 and stored in the server 12. The specific configuration and operation of the particle image automatic classification device 1 are described in JP-A-8-29137.

In addition to the above-described particle image information, the server 12 also stores information on a specimen such as a specimen list and qualitative data.

In this embodiment, the primary classification or a partial particle image is classified by the automatic particle image classification device 1. However, particle images are always classified without any classification,
The information may be stored in the server 12.

In order to classify the primary classified particle image or the unclassified particle image held in the server 12 or to classify the particle image with higher accuracy, the specimen is specified on the display 13 by The data of the designated sample is transferred from the server 12 to the data storage unit 10 via the bus 9. The transferred data is displayed on the display 13 and the mouse 15 and the keyboard 16 are displayed.
Is operated, the particle image displayed on the display 13 is used to reclassify the particle image on the window or to perform a more accurate operation of classifying the particle image.

Next, a method of re-classifying particle images in the particle image classification system according to one embodiment relating to screens and operations will be described with reference to FIGS.

FIG. 2 is a flowchart showing an embodiment of the present invention. This flowchart shows operations for displaying sample data on the sample data display unit 302, the qualitative data display unit 303, and the classification result display unit 304 of the standard screen 300 as shown in FIG. 3, and the classification of the particle images to be classified. 9 is a flowchart showing an operation for displaying an operation area 308 for performing an operation.

In FIG. 2, an initial screen is displayed on the display 13 by starting up a system program of the particle image classification system described as an embodiment (step 201). After the internal processing is completed, the standard screen is automatically displayed. 300 is displayed (step 202). As shown in FIG. 3, the standard screen 300 includes a large classification item icon 301 indicating the classification of particles contained in a sample such as urine, a sample data display section 302 for displaying sample information, and qualitative information regarding the sample. Qualitative data display unit 303 for displaying
And a classification result display unit 304 displaying the classification result of the particles
A toolbar 305, a progress display unit 306 for displaying the movement progress of the particle image, a clipboard 307 for temporarily storing the particle image, a work area 308 for performing operations such as displaying and classifying the particle image, and a title bar. 309,
It comprises a menu bar 310 and a status bar 311 for displaying date and time. Also, toolbar 305
4 includes a sample list button 401, a next sample button 402, a review completion button 403, a sample image display button 404, a sample data edit button 405, and a sample list display button 406, as shown in FIG. You.

Standard screen 300 in step 202
Are the sample data display unit 302 and the qualitative data display unit 30
3. The classification result display section 304 and the work area 308 are blank.

Next, in step 203, in the above-mentioned state, the sample has not been designated yet, and the standard screen 300 is displayed.
Since information such as data and images is not displayed in the sample data display unit 302, the qualitative data display unit 303, the classification result display unit 304, and the work area 308, the operator designates a sample to perform work. , A sample list is displayed, and a sample is selected from the list (step 204).

In the embodiment of the standard screen 300 shown in FIG. 3, the display of the sample list and the display of the next sample, which are the basic processes of the particle image classifying apparatus 2, the completion of the review for finishing the particle image classification process, the standard Display of particle images, sample data editing that specifies the mode of addition / change / deletion of sample data, sample list display that displays the names of samples, etc.
Are displayed. This display is arranged in a line at the top of the screen as shown in the toolbar 305. With such an arrangement, the entire basic processing function can be viewed, and the function to be processed can be easily selected. Further, since this display is displayed above the work area 308, the sample data display unit 302, the qualitative data display unit 303, and the classification result display unit 304, it is easy to see. Further, since this display is horizontally long as compared with the large classification item icon 301, there is an effect that each of them can be quickly distinguished.

Since the contents displayed on the toolbar 305 are also included in the "specimen (K)" displayed on the menu bar 309 (see FIG. 3), select "specimen (K)". By doing so, the display of the sample list and the display of the next sample described above, the completion of the review to finish the classification process of the particle image, the display of the standard particle image, and the sample data that is the mode specification of addition, change, and deletion of sample data It is possible to perform editing, sample list display in which sample names and the like are collectively displayed, and the like.

The contents displayed on the toolbar 305 are as follows:
The content that is included in the “specimen (K)” and that is frequently used in performing the classification operation of the particle image is displayed. The toolbar 305 can also display other contents included in the “sample (K)”.

In step 204, the toolbar 30
A sample list button 401 for displaying a sample list is selected from among the sample list buttons 5. By specifying and clicking the sample list button 401 with the mouse 15, a list screen 500 for displaying a sample list is displayed on the standard screen 300 as shown in FIG. 5 (step 205). FIG.
The data (ID, name, etc.) relating to the sample and the numerical data of each component displayed on the list screen 500 shown in FIG.
It is described as an example for explaining the embodiment,
Actually, data on each sample and numerical data of each component of the sample are displayed.

A sample for processing, for example, a sample 501 for classifying particles is selected from the displayed list screen 500 (step 206).
When 00 is closed, sample data is displayed on the sample data display unit 302, the qualitative data display unit 303, and the classification result display unit 304 provided on the standard screen 300 (step 2).
07).

The data displayed on the qualitative data display section 303 is such that when a sample is selected, data relating to the selected sample is sent to the server 12 from another analyzer or a host computer (not shown in FIG. 1). Displayed through.

In the classification result display section 304, for example, large classification items such as red blood cells and white blood cells are shown.
There are fine classification items (fine classification items) in the large classification items, and these fine classification items can also be displayed on the classification result display unit 304. FIG. 6 shows an example of the fine classification items displayed on the classification result display section 304. In FIG.
Is an item number, 602 is an item code, 603 is a classification item,
Reference numeral 604 denotes an abbreviation of a classification item displayed on the classification result display unit 304.

In the embodiment shown in FIG. 3, the sample data display section 302, the qualitative data display section 303, and the classification result display section 3
04 are arranged in a vertical line, and the work area 308
Since it is displayed at the same time, there is an effect that the screen is easy to see and use.

After displaying the data of the sample, step 20 is repeated.
3 and proceed to step 208.

In step 208, one icon of the particle to be classified is selected from the large classification item icons 301. Here, as an example, the red blood cell icon 301a
The case where is selected will be described with reference to FIG.

When the red blood cell icon 301a is clicked with the mouse 15, a red blood cell subclassification item list 701 as shown in FIG. 7 is displayed (step 209). As shown in FIG. 3, the major category item icon 301
05 and the work area 308 are arranged side by side in a row, and when the large category item icon 301 is clicked with the mouse 15, the fine category item is displayed, so that there is an effect that the classification operation is easily performed.

By clicking on an item 702 (for example, another epithelium) to be re-classified from the displayed sub-category item list 701 with the mouse 15 (step 210),
The automatically classified particle images as shown in FIG. 8 are displayed in the image window 801 (step 211).

The particle image displayed in the image window 801 is schematically described for explaining the embodiment, and actually displays a particle image having various shapes and colors.

The image window 801 has a vertical ruler 802 indicating a reference size in the vertical direction of the particle image and a horizontal ruler 803 indicating a reference size in the horizontal direction of the particle image. Displayed in the work area 308. Then, by operating the mouse 15 and the keyboard 16, particles are displayed in the work area 308, and an operation for classification is performed.

Next, a specific method of reclassifying particles will be described with reference to FIGS. 9 and 10. FIG.

FIG. 9 is a flowchart showing the operation from step 211 to step 212 of the flowchart shown in FIG. Here, as an example, an operation in the case of using the red blood cell image window will be described.

In step 901 of FIG. 9, a particle image 1001 to be re-classified is selected from among the particle images displayed in the image window 801 as shown in FIG. The selected particle image 1001 has a frame 10 with a color such as light blue, which is an indication that the selected particle image is a selected particle image.
02 is added (step 902).

Next, in step 903, the operator visually checks the presence of the icon of the particle to be classified with the selected particle image 1001 on the large classification item icon 301.

As shown in FIG. 3, the major category item icon 301 is located between the toolbar 305 and the work area 308.
By arranging the particles in a horizontal line, the operator can easily find an icon to which the particle image is to be classified because the operator can easily see the icon.

If there is an icon of a particle to which the particle image 1001 is to be classified on the large classification item icon 301, the particle image 1001 is selected by a method such as dragging with the mouse 15 (step 904). By dropping on the icon of the particle to be re-classified existing on the icon 301 (step 905), the particle is re-classified (step 906).

The reclassified particle image 1001 has a shadow 10
03 is added so that the particles are recognized as having moved by the re-classification. Thereafter, the flow returns to step 901 to re-classify the particles remaining in the image window 801.

If the selected particle image 1001 does not exist on the large classification item icon 301 in step 903, the process proceeds to step 907, and the right button of the mouse 15 is clicked on the particle image 1001. By clicking the right button of the mouse 15, a menu screen is displayed (step 908). When "fine classification item" is selected from the menu screen (step 909), the particles are classified as shown in FIG. An item 1004 that is a candidate for a sub-classification to be made and an item 100 that is a candidate for the next sub-classification item
5 is displayed in the work area 308 provided on the standard screen 300 (step 910). Displayed item 110
4 and 1005, if the particle image 1001 is not an item to be reclassified, by clicking the right button of the mouse 15 again, the candidate subclassification items are sequentially displayed. Then, when a sub-category item to which the particle image 1001 is to be classified is displayed, the corresponding sub-category item is clicked with the mouse 15 (step 911), thereby re-classifying the particle image (step 912).

In the above-described re-classification of the particle images, the particle images may be re-classified by dragging the particle image 1001 with the mouse 15 and dropping it on the selected re-classification item.

In the above embodiment, items 1004, 10
05 is displayed when the item to which the particle image 1001 is to be classified does not exist on the large classification item icon 301, but is not limited thereto. The classification of the particle images is performed by setting various conditions in advance. Depending on the conditions, the items 1004 and 1005 may be hidden. The items 1004 and 1005 may be displayed when a preset condition is satisfied.

As shown in the embodiment of FIG. 10, since the image window 801 and the classification item window can be displayed simultaneously in the work area 308, there is an effect that the particle images can be quickly re-classified. .

The reclassified particle image 1001 has a shadow 10
03 is added so that the particles are recognized as having moved by the re-classification. Thereafter, the flow returns to step 901 to re-classify the particles remaining in the image window 801.

When the reclassification of one of the red blood cell classification items 702, for example, the other epithelium, is completed, the red blood cell icon 301a is clicked again with the mouse 15 to display a red blood cell fine classification item list 701.

The displayed red blood cell subclassification item list 701
Of the red blood cells to be classified next is clicked with the mouse 15 to open an image window of the particles to be classified, and the particle images are re-classified by the method described above.

After the classification of the red blood cells is completed, the image window 801 is closed, and the icon of the particle to be classified next is clicked with the mouse 15 from the large classification item icons 301 to open the image window. Reclassification of the particle images is performed sequentially.

When re-classification of the next sample is performed after re-classification of one sample is completed, the next sample button 402 shown on the toolbar 305 is clicked on the standard screen 300 by clicking the mouse 15. A sample candidate to be re-classified next is displayed on the display. When a sample is selected by the mouse 15, the sample data display unit 30
2. Data on the next sample is displayed on the qualitative data 303 and the classification result display unit 304.

After displaying the data, the process proceeds to step 208 in the flowchart shown in FIG. 2, and the particle images are re-classified according to the flowchart.

The configuration of the standard screen 300 of the particle image classification system according to the embodiment of the present invention is such that the image window of the particle image to be re-classified next can be opened without closing the image window 801. Has become.

According to the present embodiment, the particles can be classified on one screen, so that it is not necessary to switch the screen for each particle to be classified, and the operability to perform each processing operation with a mouse. A good particle image classification system can be provided.

In the present embodiment, the case where the particle images are re-classified has been described. However, the present invention is not limited to this case, and the present invention is also applicable to the case where the automatically classified particle images are classified with higher accuracy. Embodiments can be applied.

The particle image classification system described in this embodiment can use, for example, a Windows system (Windows is a trademark of Microsoft Corporation) developed by Microsoft Corporation.

(Embodiment 2) The operation of the particle image classification system according to the second embodiment of the present invention will be described with reference to FIGS.

FIG. 11 is a flowchart showing an operation for correcting the particle image displayed in the image window and reclassifying the corrected particle image. Here, as an example, a correction and a re-classification operation of a particle image using an image window of a red blood cell will be described.

In FIG. 11, as shown in FIG. 12, by double-clicking the particle image 1201 to be corrected from the image window 801 with the mouse 15, image processing is performed (step 1101). The image is displayed in the image processing window 1202 (step 1102). A particle image 1201 in the selected image window 801 is provided with a frame 1002 colored with light blue or the like, which is a display indicating that the particle image is the selected particle image.

The image processing window 1202 is a vertical ruler 1 that indicates the size of the particle image 1201 as a reference in the vertical direction.
203, a horizontal ruler 1204 indicating a reference size in the horizontal direction of the particle image 1201, a magnification button 1205 for setting and displaying an enlargement / reduction ratio of the particle image 1201,
A button 1206 for closing the image processing window 1202 is displayed in the work area 308 in the standard screen 300.

Next, in step 1103, the particle image 1201 displayed in the image processing window 1202 is displayed.
Is corrected. The correction of the particle image 1201 includes edge correction for clarifying the outline of the particle, gamma correction for adjusting the color of the particle, and change in magnification of the particle image.

Next, in step 1104, the particle image 1201 in the corrected image processing window 1202
The operator visually observes whether reclassification is necessary or not, and if reclassification is not necessary, clicks a button 1206 with the mouse 15 and clicks the image processing window 1202.
And returns to the image window 801 (step 110).
0). After returning to the image window 801, other particle images displayed in the image window 801 are corrected if necessary.

In step 1104, the particle image 12
If reclassification of 01 is necessary, the process proceeds to step 1105,
The image processing window 12 is displayed on the large classification item icon 301.
The operator visually checks the presence of the icon of the particle to be classified into the particle image 1201 displayed in 02.

If a particle icon to which the particle image 1201 is to be classified exists on the large classification item icon 301, the particle image 1201 in the image processing window 1202 is displayed.
Is dragged with the mouse 15 (step 1106),
By dropping on the icon of the particle to be reclassified existing on the large classification item icon 301 (step 1107), the particle is reclassified (step 110).
8).

The particle image 1201 displayed in the image processing window 1202 returns to the image window 801 when the button 1206 is clicked with the mouse 15 and the image processing window 1202 is closed. Image window 80
A shadow 1003 is added to the particle image 1201 that has returned to 1 so that the particle image 1201 can be identified as a particle that has moved by re-classification. After that, the process returns to step 1100, and correction and re-classification of the particle images remaining in the image window 801 are performed as necessary.

In step 1105, if the particle image 1201 displayed in the image processing window 1202 does not exist on the large classification item icon 301, step 11
In step 09, the right button of the mouse 15 is clicked on the particle image 1201 displayed in the image processing window 1202. When the right button of the mouse 15 is clicked, a menu screen is displayed (step 1110). When "fine classification item" is selected from the menu screen (step 1111), the particles are classified as shown in FIG. An item 1207 that is a candidate for the sub-classification to be classified and an item 1208 that is a candidate for the next sub-classification item are displayed in the work area 308 provided on the standard screen 300 (step 11).
12). If the displayed items 1207 and 1208 are not items to be reclassified in the particle image 1201, the mouse 1
By clicking the right button 5 again, the candidate sub-category items are sequentially displayed. And particle image 1
When the sub-category item to be classified into 201 is displayed, the corresponding sub-category item is selected by the mouse 15 (step 1113). Next, the particle image 1201 displayed in the image processing window 1202 is dragged with the mouse 15 (step 1114) and dropped on the selected re-classification item (step 1115), whereby the particles are re-classified (step 1115). 1116).

In the above embodiment, items 1004, 10
05 is displayed when the item to which the particle image 1001 is to be classified does not exist on the large classification item icon 301, but is not limited thereto. The classification of the particle images is performed by setting various conditions in advance. Depending on the conditions, the items 1004 and 1005 may be hidden. The items 1004 and 1005 may be displayed when a preset condition is satisfied.

The reclassified particle image 1201 is displayed by clicking the button 1206 with the mouse 15 and closing the image processing window 1202.
Return to Particle image 120 returned to image window 801
1 is provided with a shadow 1003 so that it can be recognized that the particle has moved by the re-classification. Thereafter, the flow returns to step 1100, and if necessary, the image window 801 is displayed.
Correction and re-classification of the particle image remaining in.

According to this embodiment, the display of the particle image by the image window and the correction and re-classification of the particle image by the image processing window can be performed on one screen, so that there is no need to switch the screen. A good urine test system can be provided.

In this embodiment, the case where the correction and the re-classification of the particle image displayed in the image processing window are described, but the present invention is not limited to this.
The present embodiment can be applied to a case where the automatically classified particle images are classified with higher accuracy.

(Embodiment 3) The operation of the particle image classification system according to the third embodiment of the present invention will be described with reference to FIGS.

FIG. 13 is a flowchart showing the editing operation of the sample data.

In step 1301 of FIG. 13, the toolbar 30 provided in the standard screen 300 (see FIG. 3)
From 5, the sample data edit button 405 (see FIG. 4) is clicked with the mouse 15.

The sample data edit button 405 is
By clicking on, the sample data editing screen 1401 is displayed on the standard screen 300 as shown in FIG. 14 (step 1302). Sample data edit screen 1401
Is composed of sample data sections 1402a to 1402i, a cancel button 1403, a data edit button 1404, and a review button 1405. The data (ID, name, etc.) relating to the sample and the numerical data of each component displayed on the sample data editing screen 1401 shown in FIG. 14 are described as examples for describing the embodiment, and are actually described. Indicates data on each sample and numerical data of each component of each sample.

Next, by clicking data edit button 1404 with mouse 15 (step 1303),
The sample data editing screen 1401 is in a state where data can be edited. A sample whose data is to be edited is selected from the sample data sections 1402a to 1402i using the mouse 15 (step 1304), and data editing is performed using the keyboard 16 (step 1305).

Also, the sample list sections 1402a to 1402
When the left end 1406 of i is clicked with the mouse 15, a mark 1407 using a color such as red, yellow, or green can be attached, so that data editing and sample classification can be easily performed.

In step 1306, if the data editing has not been completed, the flow returns to step 1304 to select a sample and perform data editing continuously.

After the data editing is completed, the standard screen 3
By clicking the menu bar 310 provided in 00 with the mouse 15 and then clicking the review button 1405, the sample data editing screen 1401 is closed and the screen returns to the standard screen 300.

According to this embodiment, sample data can be edited on one screen, so that it is possible to provide a particle image classification system with good operability that does not require switching screens when editing data. it can.

(Embodiment 4) The operation of the particle image classification system according to the fourth embodiment of the present invention will be described with reference to FIGS.

FIG. 15 is a flowchart showing the operation of the method for re-classifying particles using a sample image.

At step 1501 in FIG. 15, the sample image display button 404 is selected from the toolbar 305 (see FIGS. 3 and 4) on the standard screen 300 on which the image window 801 is displayed by clicking the mouse 15 or the like. . Click the sample image display button 404 with the mouse 15
By clicking, a sample image window 1601 is displayed on the standard screen 300 as shown in FIG. 16 (step 1502).

The sample image window 1601 has a vertical ruler 160 showing a size that is a reference in the vertical direction of the particle image.
2 and a horizontal ruler 1603 indicating a reference dimension in the horizontal direction of the particle image, and a fine classification item particle image having a standard shape is displayed. The particle image serves as a standard for classifying the automatically classified particle image.

In this embodiment, the sample image window 1
Although a plurality of sample images are displayed at 601, one representative particle image may be displayed and used as a sample image. One means for displaying one typical particle image is to select from “option (O)” displayed on the menu bar 309.

Next, observation is performed while comparing the particle image displayed in the image window 801 with the particle image displayed in the sample image window 1601. As a result of observation,
If there is a particle image to be reclassified, the image is selected (step 1503), and the particles are reclassified by the above-described method (step 1504).

Next, in step 1505, if the re-classification is not completed, the process returns to step 1504, and the re-classification is continued. If the re-classification is completed, the image window 801 and the sample image window 1601 are closed, and the standard screen 300 is displayed. Return.

In step 1503, if there is no particle image to be re-classified, the observation is continued while comparing the particle image displayed in the image window 800 with the particle image displayed in the sample image window 1601. (Step 1506), it is determined whether the sample is normal or abnormal (step 1507). After the determination, the image window 800 and the sample image window 1601 are closed, and the screen returns to the standard screen 300.

According to this embodiment, if necessary, a standard particle image can be displayed without closing the image window, so that the particle images can be easily compared and the normality / abnormality of the specimen can be determined more accurately. It is possible to provide a particle image classification system with good operability that can be determined.

In the present embodiment, the operation for re-classifying the particle image has been described. However, the present invention is not limited to this.
The present embodiment can also be applied to a case where the automatically classified particle images are classified with higher accuracy.

(Embodiment 5) The operation of the particle image classification system according to the fifth embodiment of the present invention will be described with reference to FIG.

FIG. 17 is a flowchart showing an operation for temporarily storing a particle image that has become difficult to classify while classifying the particle images.

In FIG. 17, in steps 1701 to 1703, particles are re-classified by the above-described classification method. In step 1704, if it becomes difficult to classify the particle image during the re-classification, the particle image is dragged with the mouse 15 (step 170).
5), clipboard 3 provided on standard screen 300
By dropping the particle image on 07 (step 1706), the particle image is temporarily stored on the clipboard 307 (step 1707). The clipboard 307 has a structure capable of storing data for each sample.

Since the clipboard 307 is arranged beside the large category item icon 301, there is an effect that the operator can easily find it.

At step 1708, after the re-classification of the particle images is completed, the clipboard 307 is opened by clicking the clipboard 307 with the mouse 15 (step 1709). In step 1710, if there are particles that can be classified in the clipboard 307, classification is performed (step 1711). If classification is not possible, the process returns to step 1707, the clipboard 307 is closed, and data is stored in the clipboard 307.

According to the present embodiment, since the data of particles can be temporarily stored during the re-classification, and the re-classification operation can be performed on one screen, the operability for efficient re-classification can be performed. Particle image classification system with good performance can be provided.

In this embodiment, the case where the particle images are re-classified has been described. However, the present invention is not limited to this case, and the present invention is also applicable to the case where the automatically classified particle images are classified with higher accuracy. Embodiments can be applied.

(Embodiment 6) Another embodiment according to the present invention will be described with reference to FIG.

FIG. 18 is another embodiment of the standard screen 300 shown in FIG. 3. The difference from FIG. 3 is that a trash can 1800 for discarding unnecessary particle images is provided. Other points are the same as those described with reference to FIG. 3, and thus detailed description will be omitted.

In the process of classifying the particle images described in the first to fifth embodiments, when a dust image that is clearly judged to be unnecessary by the operator is displayed, the dust image is clicked with the mouse 15. By dropping in the trash box 1800 provided on the standard screen 300 (see FIG. 18), the trash image can be discarded.

According to the present embodiment, unnecessary images such as dust images can be discarded during classification of particle images, so that classification of particle images can be performed with higher accuracy.

(Embodiment 7) Another embodiment according to the present invention will be described with reference to FIG.

FIG. 19 is an embodiment showing a screen for setting parameters. In FIG. 19, the parameter setting screen 1900 has a plurality of tables on which classification items are displayed. Also, on the parameter setting screen 1900, the item code, item name, presence / absence of microscopic inspection, presence / absence of transfer to the host computer, presence / absence of transfer to the host computer, and particle component set at the time of starting the program of the particle image classification system according to the present invention are displayed. Each parameter of unit and positivity conversion value is displayed in a horizontal row.

Next, the parameter setting operation will be described. First, a table of classification items for which parameter setting is to be performed is selected from a plurality of tables. Here, as an example, a case where the table 1910 of red blood cells is selected will be described.

From the parameters displayed in the red blood cell table 1910, the parameter whose setting is to be changed, added, or deleted is selected by the mouse 15 or the keyboard 16. Here, as an example, as shown in FIG. 20, the item code “14” and the item name “unnatural erythrocyte” (parameter 2
000) will be described.

When the parameter 2000 is selected, a colored band indicating the selected parameter is displayed. By specifying the add / change button 1940 with the mouse 15 or the keyboard 16, the condition setting screen 201 is displayed.
0 is displayed. In this state, adding parameters
Since the change can be made, the addition and change of the parameter are performed by the mouse 15 and the keyboard 16.

When the addition / change of the parameter is completed, the data added / changed can be set as a new parameter by designating the button 2030 with the mouse 15 or the keyboard 16.

To delete a parameter, select the parameter to be deleted with the mouse 15 or the keyboard 16 and press the delete button 1950 with the mouse 15 or the keyboard 1.
The parameter can be deleted by designating with the number 6.

When the parameter setting is completed, press button 1
By specifying 960 with the mouse 15 or the keyboard 16, it is possible to return to the parameter setting screen 1900 shown in FIG.

When the parameter setting for red blood cells is completed and other parameters need to be set, a table of a classification item for which parameter setting is to be performed next is selected from the plurality of tables, and the above-described process is continued. Set the parameters.

According to the present embodiment, the parameters can be set on one screen, so that the operability of the particle image classification system can be improved without switching the screen when setting the parameters.

Embodiment 8 Another embodiment according to the present invention will be described with reference to FIGS.

FIG. 21 shows another embodiment of the parameter setting screen. In FIG. 21, reference numeral 2100 denotes a parameter setting screen, and a parameter setting screen 2100 is shown.
Has a plurality of tables.

Next, the setting of the parameters will be described as an example when the medical department table 2110 is selected.

The medical department table 2110 displays a medical department code and a medical department name. An item to be added, changed, or deleted is designated by the mouse 15 or the keyboard 16 in the displayed medical department code or medical department name. Here, as an example, as shown in FIG. 22, the department code “03” and the department name “Neurosurgery” (parameter 2
200) and changing the department name will be described.

Select the parameter 2200 and press the button 21
By selecting “60”, a screen 2210 for changing the department name is displayed as shown in FIG. 22, and a colored band indicating the selected parameter is displayed.

Next, column 2 of the department name on the change screen 2210
By inputting a new medical department name into the mouse 230 and the keyboard 16 and selecting the button 2220, the change screen 2200 is closed and the medical department table 2110 is displayed.
Return to

If the name of the department is not changed, the button 22
By selecting 30, the change screen 2200 closes,
It is possible to return to the department table 2110.

In the above embodiment, the change of the department name has been described. However, the addition of the department name can be performed in the same manner as in the above embodiment.

When deleting a medical department name, a medical department item to be deleted is selected, and a button 2170 is selected, whereby the medical department name can be deleted.

When the setting of the parameter 2200 is completed, and there is a parameter to be set next, the medical department code or the medical department name is selected again, and the parameter setting is continuously performed by the above-described process.

When the parameter setting for the medical department is completed and other parameters need to be set, a table for the next parameter setting item is selected from a plurality of tables 2110, and the above-described process is performed. Continue setting parameters.

According to the present embodiment, the parameters can be set on one screen, so that the operability of the particle image classification system can be improved without switching the screen when setting the parameters.

(Embodiment 9) Another embodiment according to the present invention will be described with reference to FIG.

FIG. 23 shows another embodiment of the sample list editing screen 1400 described with reference to FIG. The sample list editing screen 2300 shown in FIG. 23 includes, on the items displayed on the sample list editing screen 1400 shown in FIG. 14, an item 2310 indicating a color such as urine, an item 2320 indicating a comment about a sample by a symbol, and a sample 233 for displaying the measurement date and time of
0 and an item 2340 for displaying a reception number are added. A sample list editing screen 1400 shown in FIG.
A column 2350 for setting the data rearrangement, a column 2360 for switching the display information of the sample, and a button 2370 showing the comment on the sample in detail are added. Further, the data edit button 1404 (see FIG. 14) includes a button 2380 for adding or changing sample data, a button 2390 for saving sample data, and buttons 2391 and 2392 for deleting sample data.

A sample data editing screen 2300 shown in FIG.
Are arranged according to the items of the measurement date displayed in the column 2350. If necessary, select one of the item of the sample type, the item of the positive / negative, the item of the clinical department, and the item of the accession number. Alternatively, the sample data can be rearranged.

The sample data editing screen 2 shown in FIG.
Although 300 is displayed in accordance with the ID item displayed in the column 2360, it is also possible to specify the name item and display the sample name.

Next, editing of sample data using the sample data editing screen 2300 will be described.

By designating the sample data edit button 405 displayed on the toolbar 305 with the mouse 15,
The sample list editing screen 2300 is displayed, and the sample list data can be edited.

A sample whose data is to be edited is designated by the mouse 15 from the sample data section 2305. A band with a color indicating that the selected sample data is selected is displayed on the designated sample data.

Next, by specifying the button 2380 with the mouse 15 or the like, the selected sample data is added or changed with the mouse 15 or the keyboard 16. When the addition or change of the sample data is completed, the keyboard 16 is executed. By operating a key or the like, the added or changed data is set as new sample data.

When the addition or change of one sample data is completed and there is sample data that needs to be added or changed next, the sample data is designated by the above-described process, and the addition or change of the sample data is continuously performed. carry out.

When the addition or change of the sample data is completed, the user designates the button 2390 with the mouse 15 or the like,
Sample data can be stored.

Next, when the sample data is to be deleted, the sample data to be deleted is designated by the mouse 15 or the like, and then the button 2391 is designated.
Deletes the sample data transferred to
By specifying 392, the sample data recorded in the host computer can be deleted.

When the deletion of the sample data is completed, the button 2
By designating 390 with the mouse 15 or the like, sample data can be saved.

According to this embodiment, since the rearrangement and editing of the sample data can be easily performed, the sample data editing screen which is most visible to the operator can be displayed.
Operability can be improved.

In this embodiment, data editing in the row direction of the sample data section 2305 has been mainly described. However, data editing in the column direction of the sample data section 2305 can also be performed.

In particular, when data editing in the column direction is performed, it is effective when editing data related to urine color, which is often sent as list data from another inspection apparatus.

For editing the data relating to the color of urine, the cursor is moved to the data portion relating to the color displayed in the sample data section 2305, and the data is input using the keyboard 16 or the like. After the data is input, by pressing the execution key of the keyboard 16, the data is input,
The cursor shifts down.

When data is edited in the column direction,
A major feature is that the cursor is shifted downward by pressing the execution key of the keyboard 16 after inputting data, thereby improving the operability of data editing in the column direction.

[0150]

According to the present invention, it is possible to provide a particle image classifying apparatus for a living body with good operability, which can efficiently classify particle images and edit data.

[Brief description of the drawings]

FIG. 1 is a diagram showing a configuration of a particle image classification system for a living body according to the present invention.

FIG. 2 is a flowchart showing steps for displaying specimen data of the particle image classification system for a living body according to the present invention.

FIG. 3 is a diagram showing a configuration of a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 4 is a diagram showing a configuration of a toolbar of the particle image classification system for a living body according to the present invention.

FIG. 5 is a diagram showing a configuration of a sample list of the particle image classification system for a living body according to the present invention.

FIG. 6 is a diagram illustrating types of sub-classification items of the particle image classification system for a living body according to the present invention.

FIG. 7 is a diagram showing a state in which a fine classification item is displayed on a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 8 is a diagram showing a state in which an image window is displayed on a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 9 is a flowchart illustrating a re-classification method of the particle image classification system for a living body according to the present invention.

FIG. 10 is a diagram showing a state in which an image window and fine classification item candidates are displayed on a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 11 is a flowchart showing a reclassification operation of the particle image classification system for a living body according to the present invention.

FIG. 12 is a diagram showing a state where an image window, a sub-classification item candidate, and an image processing window are displayed on a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 13 is a flowchart showing a specimen data editing operation of the particle image classification system for a living body according to the present invention.

FIG. 14 is a diagram showing a sample data editing screen of the particle image classification system for a living body according to the present invention.

FIG. 15 is a flowchart illustrating a re-classification operation using a sample image of the particle image classification system for a living body according to the present invention.

FIG. 16 is a diagram showing a state in which an image window and a sample image window are displayed on a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 17 is a flowchart showing a reclassification operation using a clipboard provided on a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 18 is a diagram showing an example of a standard screen of the particle image classification system for a living body according to the present invention.

FIG. 19 is a view showing a parameter setting screen of the particle image classification system for a living body according to the present invention.

FIG. 20 is a view showing that a parameter setting screen of the particle image classification system for a living body according to the present invention is in a setting state.

FIG. 21 is a view showing another embodiment of the parameter setting screen of the particle image classification system for a living body according to the present invention.

FIG. 22 is a view showing that a parameter setting screen of the particle image classification system for a living body according to the present invention is in a setting state.

FIG. 23 is a diagram showing another embodiment of the sample data editing screen of the particle image classification system for a living body according to the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Automatic particle image classification apparatus, 2 ... Particle image classification apparatus, 3
... Flow cell, 4 flash lamp, 5 CCD camera, 6 image processing unit, 7 image memory, 8 lamp control unit, 9 bus, 10 data storage unit, 11 image processing unit, 12 server 13 ... display, 14 ... body, 15 ... mouse, 16 ... keyboard, 300 ... standard screen, 301 ... large classification item icon, 302 ... sample data display, 303 ... qualitative data display, 304 ... classification result display, 305 ... toolbar, 306 ... progress display section, 3
07 ... Clipboard, 308 ... Work area, 309 ...
Title bar, 310: Menu bar, 311: Status bar, 401: Sample list button, 402: Next sample button, 403: Review completion button, 404: Sample image display button, 405: Sample data edit button, 4
06 ... sample list button, 500 ... list screen, 701 ...
List of fine classification items, 702: Fine classification items, 801: Image window, 802: Vertical ruler, 803: Horizontal ruler,
1002 ... Frame 1004, 1005 ... Candidate for fine classification item 1202 ... Image processing window 1203 ... Vertical ruler 1204 ...
Horizontal ruler, 1205 ... magnification button, 1206 ... button, 1401 ... sample data edit screen, 1402a-14
02i: Sample data section, 1403: Cancel button,
1404: data edit button, 1405: review button, 1407: mark, 1601: sample image window, 1602: vertical ruler, 1603: horizontal ruler, 1
800: Recycle bin, 1900, 2100: Parameter setting screen, 1910: Red blood cell table, 1940: Add /
Change button, 1950: Delete button, 1960: Button, 2010: Condition setting screen, 2030: Button, 21
10… Clinical department table, 2160, 2170… Button,
2210 ... change screen, 2220 ... button, 2230 ... column of medical department name, 2300 ... sample list edit screen, 2310
... 2340 ... items, 2350, 2360 ... columns, 2370
... buttons, 2380, 2390, 2391, 2392 ...
Button, 2305: Sample data section.

────────────────────────────────────────────────── ───

[Procedure amendment]

[Submission date] February 10, 1998

[Procedure amendment 1]

[Document name to be amended] Statement

[Correction target item name] Name of invention

[Correction method] Change

[Correction contents]

Patent application title: Particle image classification system for living body
And particle reclassification method

[Procedure amendment 2]

[Document name to be amended] Statement

[Correction target item name] Claims

[Correction method] Change

[Correction contents]

[Claims]

[Procedure amendment 3]

[Document name to be amended] Statement

[Correction target item name] 0011

[Correction method] Change

[Correction contents]

It is an object of the present invention to provide a urine and other inspection system and an inspection method capable of efficiently performing particle image processing or particle classification.

[Procedure amendment 4]

[Document name to be amended] Statement

[Correction target item name] 0012

[Correction method] Change

[Correction contents]

[0012]

[Means for Solving the Problems] One for solving the above object invention, Table 1 shows that indicates the display function of the sample list
First display to perform a first display a test body list icon
Means, a sample list display means for displaying a sample list based on selecting the displayed first display, and a sample specifying means for specifying the selected sample by selecting a sample from the displayed list. , A plurality of classification icons respectively corresponding to a plurality of classifications of particle images
A second display means for performing shows display, are the above specified analyte particle image based on selecting one of the plurality of second display, moreover correspond to the second display, which is the selected The problem is solved by a particle image classification system related to a living body, wherein a particle image of the classified classification is displayed.

[Procedure amendment 5]

[Document name to be amended] Statement

[Correction target item name] 0013

[Correction method] Change

[Correction contents]

According to another aspect of the present invention, there is provided a particle image classification system relating to a living body, which processes an image of particles contained in urine or the like using a display screen, wherein a plurality of windows are displayed on the display screen. To the living body that processes the particle image between the multiple windows.
A particle fractions image classification system related.

[Procedure amendment 6]

[Document name to be amended] Statement

[Correction target item name] 0014

[Correction method] Change

[Correction contents]

According to another aspect of the present invention, there is provided a particle image automatic classification apparatus for automatically classifying an image of particles contained in urine and the like, and a particle for reclassifying a classified particle image using a display screen. In a method of re-classifying particles using a particle image classification system for a living body with an image classification unit, a plurality of windows are displayed on the screen of the display, and among the plurality of windows, The particles are classified by the classification method including the following steps.

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Yasuaki Kojima 882 Ma, Hitachinaka-shi, Ibaraki Pref.Measurement Division, Hitachi, Ltd. Hitachi Measuring Instruments Division

Claims (5)

[Claims] A step of displaying a first display (sample list icon) indicating a display function of a sample list; a step of displaying a sample list based on selecting the displayed first display; A step of selecting the sample from the list to specify the selected sample; a step of displaying a plurality of second displays (classification icons) respectively corresponding to a plurality of classifications of the particle images; Particles relating to a living body, wherein a particle image of the identified specimen is displayed based on selection of one of the displays, and a particle image of a classification corresponding to the selected second display is displayed. Image classification system. 2. A particle image classification system for a living body, which processes an image of particles contained in urine on a screen of a display, wherein a plurality of windows are displayed on the screen of the display; A particle image classification system for a living body, wherein a particle image is re-classified between the two. 3. A living body provided with an automatic particle image classification device for automatically classifying images of particles contained in urine, and a particle image classification device for classifying the classified particle images on a display screen. In the particle image classification system, a plurality of windows are displayed on a screen of the display, and a living body that has a particle reclassification method including the following steps between the plurality of windows, and executes the reclassification method. Particle image classification system. (A) selecting a sample from a sample list and displaying sample data on the screen of the display; (b) selecting an icon of a particle to be re-classified from the icons and displaying a sub-classification item; (C) selecting a sub-classification item to be re-classified from the displayed sub-classification items; (d) displaying an image window of the particles classified into the selected sub-classification item, Selecting an image,
(E) dragging the selected particle image and dropping it on the particle icon to be classified. 4. A living body provided with an automatic particle image classification device for automatically classifying images of particles contained in urine, and a particle image classification device for classifying classified particle images on a display screen. A particle image classification system, wherein a plurality of windows are displayed on a screen of the display, and a particle reclassification method including the following steps is performed among the plurality of windows, and the reclassification method is executed. Image classification system for living organisms. (A) selecting an image of particles to be re-classified from the image window of classified particles, (b) operating a right mouse button on the selected image of the particles to display a menu screen, (C) Select a sub-category item from the above menu screen,
Displaying the sub-category item and selecting the sub-category item to be re-classified; (d) dragging the image of the selected particle and dropping it on the selected sub-category item. 5. The method according to claim 1, further comprising: displaying an image processing window by operating a mouse on the selected image of the particles; and correcting the image of the particles in the image processing window. The particle image classification system for a living body according to claim 3 or 4, wherein: