JP2007093470A - Blood imaging apparatus, blood imaging method, processing apparatus, and imaging main body apparatus - Google Patents

Abstract

A blood cell can be efficiently imaged by setting a more appropriate imaging condition based on blood analysis information.
An imaging unit that captures a blood image of a blood sample of a sample, an acquisition unit that acquires blood analysis information including white blood cell number information indicating the number of white blood cells in the sample, and white blood cell number information acquired by the acquisition unit If the number of white blood cells indicated by is smaller than the normal reference, the imaging unit is controlled so that the blood cell count associated with the number of blood images to be imaged is smaller than when the white blood cell count is normal. And a control unit (118).
[Selection] Figure 8

Description

  The present invention relates to a blood imaging apparatus, a blood imaging method, a processing apparatus, and an imaging main body apparatus.

Patent Document 1 discloses an automatic blood cell analyzer that can automatically perform blood cell counting and morphological blood cell classification simultaneously from the same sample.
This blood cell automatic analyzer is configured by applying blood from a blood sample on a slide glass and then staining the blood sample to create a blood sample and identifying and classifying a blood cell image on the blood sample, and the blood cell sample. It has an automatic blood cell counting system that measures the number of blood cells in a certain volume, and reports the results of blood cell counting and blood cell classification at the same time.

  More specifically, in this blood cell analyzer, the specimen is magnified with an optical microscope, captured as a blood cell image with a camera, the characteristic amount of the blood cell is calculated and extracted with a feature extraction circuit, and classified into various blood cells. Further, this blood cell automatic analyzer sorts and counts blood cells based on hemoglobin concentration, white blood cell, red blood cell, and platelet detection signals.

In this automatic blood cell analyzer, a signal is sent from the microcomputer to the input / output controller for a sample whose blood cell count exceeds the normal range preset in the microcomputer and is suspected of being an abnormal value.
The input / output controller confirms the ID of the abnormal specimen and designates the number of blood cells in the blood cell classification as twice or three times as large as the ID sample that matches the ID.
JP 60-162955 A

  In the above blood cell automatic analyzer, when the blood cell count “exceeds” the normal range, the blood cell count is simply doubled or tripled, and when the blood cell count is “less” than the normal range, No action has been taken.

However, when the blood cell count is less than the normal range, the following problems occur.
For example, in an automatic blood cell analyzer, it is necessary to image a predetermined number (for example, 100) of white blood cells necessary for classifying white blood cells. It is easy to search and image, and the imaging time is short.
On the other hand, even when the number of white blood cells in the sample is very small, if an attempt is made to image a predetermined number of white blood cells, it takes a long time to search for the predetermined number of white blood cells necessary on the sample, and the imaging time becomes long. In addition, there is a problem that the imaging process does not end when the necessary predetermined number of white blood cells are not present in the specimen.

  Furthermore, when taking a blood image, the optical microscope is automatically focused on the basis of red blood cells, which are many components in the blood, but if there are very few red blood cells, the focus is automatically adjusted. The problem that it becomes impossible to match automatically arises.

  Accordingly, an object of the present invention is to set a more appropriate imaging condition based on blood analysis information so that blood cells can be efficiently imaged.

[Blood imaging device]
The present invention relating to a blood imaging device includes an imaging unit that captures a blood image of a blood sample of a sample, an acquisition unit that acquires blood analysis information including white blood cell number information indicating the number of white blood cells in the sample, and the acquisition unit. When the white blood cell count indicated by the acquired white blood cell count information is less than a predetermined value, the blood cell count associated with the number of blood images to be captured is set to be smaller than when the white blood cell count is equal to or greater than the predetermined value. And a control unit for controlling the imaging unit so as to perform imaging.

  According to the present invention, when the number of white blood cells is small, the blood cell count is small, so that it is possible to prevent a large number of white blood cells from being imaged even though the number of white blood cells on the sample is small.

  According to another aspect of the present invention, the blood imaging apparatus includes an imaging unit that captures a blood image of a blood sample of a sample, and an acquisition unit that acquires blood analysis information including red blood cell number information indicating the number of red blood cells in the sample. A control unit that controls the imaging unit so as not to capture a blood image of a blood sample of the sample when the number of red blood cells indicated by the red blood cell number information acquired by the acquisition unit is less than a predetermined value; It has.

  According to the present invention, when the number of red blood cells is small and focusing cannot be performed automatically, imaging is not performed, and it is possible to prevent unnecessary imaging.

  It is preferable to further include classification means for classifying at least the white blood cell component based on the imaged blood image.

Preferably, the acquisition means acquires the blood analysis information from a blood analyzer that outputs the blood analysis information and / or a computer having a storage unit in which the blood analysis information is stored.
The blood specimen is preferably carried by a specimen carrier having a specimen storage section for blood analysis information, and the acquisition means acquires the blood analysis information from the specimen storage section. The memory carrier is preferably a two-dimensional code attached to the specimen carrier.

[Blood imaging method]
The present invention relating to the blood imaging method includes white blood cell count information by a blood analyzer that analyzes blood cell components of blood in the sample and outputs blood analysis information including white blood cell count information indicating the white blood cell count in the sample. A step of generating blood analysis information, and if the white blood cell count indicated by the white blood cell count information is less than a predetermined value, the blood cell count number related to the number of blood images to be imaged is determined, and the white blood cell count is greater than or equal to the predetermined value. A step of taking an image with a setting smaller than the time.

  According to another aspect of the present invention, the blood imaging method includes analyzing a blood cell component of blood in the sample and outputting blood analysis information including red blood cell number information indicating the number of red blood cells in the sample. A step of generating blood analysis information including red blood cell count information, and imaging is not performed when the red blood cell count indicated by the red blood cell count information is less than a predetermined value; If there is, a step of performing imaging is included.

[Processing equipment]
The present invention relating to a processing device for setting an imaging condition in an imaging device that captures a blood image of a blood sample of a sample includes an acquisition unit that acquires blood analysis information including white blood cell count information indicating the white blood cell count in the sample. When the white blood cell count indicated by the white blood cell count information acquired by the acquisition means is less than a predetermined value, the blood cell count number related to the number of blood images to be imaged is determined when the white blood cell count is greater than or equal to the predetermined value. Imaging condition setting means for setting imaging conditions less than that.

  The present invention according to another aspect of the processing apparatus is a processing apparatus for setting imaging conditions in an imaging apparatus that captures a blood image of a blood sample of a specimen, and the red blood cell count information indicating the number of red blood cells in the specimen When the red blood cell count indicated by the red blood cell count information acquired by the acquisition unit is greater than or equal to a predetermined value, an image is acquired, and if the red blood cell count is less than the predetermined value, Imaging condition setting means for setting imaging conditions so as not to perform imaging.

[Imaging device]
The present invention relating to an imaging main body device that captures a blood image of a blood sample of a sample receives an imaging section that captures a blood image of a blood sample of the sample, and the imaging conditions set by the processing device, and the imaging conditions And a control unit for controlling the imaging unit.

In the present invention, when the white blood cell count indicated by the white blood cell count information is small, the number of white blood cells on the sample is reduced, so that it is possible to prevent a long imaging time from trying to image many white blood cells. Processing can be performed efficiently.
Further, in the present invention, when imaging is not performed when the number of red blood cells indicated by the red blood cell count information is small, useless imaging is not performed when the number of red blood cells is so small that the focus cannot be adjusted automatically, and efficiency is increased. Will improve.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
[Entire system configuration]
In the present embodiment, a blood image analyzer 1 that performs imaging and analysis of blood will be described as a specific example of the blood imaging device. FIG. 1 shows the overall system configuration including the blood imaging apparatus 1. This system is installed in a blood test facility such as a hospital, and various devices are connected via a network (LAN) 2.
In addition to blood imaging apparatus 1, blood analysis apparatus 3, specimen preparation apparatus 4, linkage unit 5, host computer 6, centralized review terminal apparatus 7 and the like are provided as equipment in the system.

[Configuration of blood analyzer]
The blood analyzer 3 is configured as an automatic blood cell analyzer that performs measurement and analysis of results on predetermined items (multiple items) in blood.
As shown in FIG. 2, this blood analyzer 3 is used to perform various measurements such as an RF / DC detection method, a sheath flow DC detection method, a flow cytometry method using a semiconductor laser, and an SLS-hemoglobin method. 31, an analysis unit 32 for performing analysis based on the measurement result of the measurement unit 31, and a determination unit 33 for performing determination on a predetermined determination item based on the analysis result and generating blood analysis information.

The blood analyzer 3 can perform various measurements related to blood by the measurement unit 31.
Specifically, in the measurement unit 31, RBC / PLT measurement (counting by sheath flow DC detection method) that measures the number of red blood cells and platelets in blood, and HGB measurement (SLS-hemoglobin method) that measures the amount of hemoglobin in blood The analysis unit 32 can calculate the erythrocyte constant (average erythrocyte volume, average erythrocyte hemoglobin amount, average erythrocyte hemoglobin concentration) based on the measurement results RBC, HGB, and HCT. it can.

  Further, in the measurement unit 31, as the WBC fraction measurement, 4DIFF measurement (measurement by flow cytometry method) that fractionally measures a population of lymphocytes, monocytes, eosinophils, neutrophils and basophils in leukocytes. WBC / BASO measurement to measure the number of leukocytes in blood and basophils in leukocytes (measurement by flow cytometry method), IMI (Immature Information) measurement to measure immature sphere information (RF / DC) Detection by a detection method).

The analysis unit 32 can generate a 4DIFF scattergram, a WBC / BASO scattergram, and an IMI scattergram as the WBC analysis.
The 4DIFF scattergram is obtained by taking the side scattered light intensity by flow cytometry on the X-axis and the side fluorescence intensity on the Y-axis. Erythrocyte ghosts, lymphocytes, monocytes, eosinophils, neutrophils And a fraction of a population of basophils.
The WBC / BASO scattergram is obtained by taking the side scattered light intensity by the flow cytometry method on the X axis and the forward scattered light intensity on the Y axis. The erythrocyte ghost, basophils in white blood cells, and other white blood cells ( A fraction of a population of lymphocytes, monocytes, neutrophils, eosinophils).
The IMI scattergram is a scattergram depicting the size of blood cells and the density inside the blood cells (such as the size of the nucleus) as a scattergram by the RF / DC method. Can be separated.

Further, the measurement unit 31 can perform NRBC measurement (measurement by flow cytometry method) that fractionally measures a population of nucleated red blood cells in blood cells, and the analysis unit 32 generates an NRBC scattergram as NRBC analysis. be able to.
The NRBC scattergram is based on flow cytometry with the side fluorescence intensity on the X axis and the forward scattered light intensity on the Y axis, and displays the fraction of the population of red blood cell ghosts, white blood cells, and nucleated red blood cells. It is.

Furthermore, the measurement unit 31 can perform RET measurement (measurement by flow cytometry) that fractionally measures a population of reticulocytes and platelets in a blood cell, and the analysis unit 32 performs an RET scattergram as a RET analysis. Can be generated.
The RET scattergram is obtained by taking the side fluorescence intensity by flow cytometry on the X-axis and the forward scattered light intensity on the Y-axis, fractionating mature red blood cells, reticulocytes, and platelets. Used to calculate red blood cell, red blood cell count, and platelet count.

  The analysis unit 32 can also perform RBC particle size distribution analysis and PLT particle size distribution analysis.

  Based on the above measurement / analysis results, hematology analyzer 3 provides white blood cell count information indicating the white blood cell count (white blood cell count per unit amount [μL]) and red blood cells indicating the red blood cell count (red blood cell count per unit amount [μL]). Blood analysis information including number information and other information can be generated.

  The blood analysis information generated as described above is transmitted from the blood analyzer 3 to the host computer 7 together with the ID of the analyzed sample (specimen identification information of the sample), and the blood analysis information together with the sample ID is sent to the host computer. Are stored in the storage unit (blood analysis information database).

[Specimen preparation device and cooperation unit]
The specimen preparation device 4 automatically creates a blood specimen for the same specimen as the specimen analyzed by the blood analyzer 3. As shown in FIG. 3 and FIG. 4, the specimen preparation device 4 prepares a smear (wedge specimen) in which a specimen blood specimen S is smeared on a specimen slide 41 that is a specimen carrier.

In a range where the specimen of the specimen carrier (specimen slide) 41 is not smeared, a specimen storage unit 41a composed of a two-dimensional code (two-dimensional barcode) is formed by printing. The two-dimensional code 41a includes at least information indicating the sample ID, and may include a patient name, a measurement date, blood analysis information of the sample analyzed by the blood analyzer 3, and the like.
The sample storage unit 41 is mechanically (computer) readable by the blood imaging apparatus 3 and other devices, and by reading information in the sample storage unit 41, necessary information regarding the sample can be obtained.
The specimen storage unit 41 may be configured by other information storage media such as a one-dimensional barcode and a wireless tag.
In addition, information such as a specimen ID, a patient name, and a measurement date is printed on the specimen carrier 41 as human-readable information 41b.

  In the specimen preparation device 4, the specimen slide 41 on which the specimen is smeared is stored in the specimen cassette 42. The sample cassette 42 is transported to the blood imaging apparatus 1 via the linkage unit 5.

[Configuration of blood imaging device]
Referring back to FIG. 1, the blood imaging apparatus 1 includes an automatic microscope apparatus (imaging main body apparatus) 110 that includes an imaging unit that captures a blood image of a blood sample of a specimen, and an image processing apparatus that performs processing such as cell classification and classification. (Processing device) 120, and both devices 110 and 120 are connected to be communicable with each other.

[Configuration of automatic microscope equipment]
As shown in FIG. 5, the automatic microscope apparatus 110 includes a slide glass transport unit 111a that transports the specimen slide (slide glass) 41 transported from the cooperation unit within the automatic microscope apparatus 110, and a cassette transport drive that drives the slide glass transport unit 111a. Part 111b.
When the cassette 42 is transported to a predetermined position by the linkage unit 5, it is detected by the cassette detection sensor 112a, and the specimen slide 41 is taken out from the cassette 42. Then, the ID reading unit 112b reads the two-dimensional code that is the sample storage unit 41a of the sample slide 41 and acquires information such as the sample ID.

Further, the specimen slide 41 is attached to the stage 113a, the specimen attached to the stage 113a is enlarged and observed with the optical microscope 114a, blood cells (white blood cells) to be recognized are detected by the WBC detection unit 114b, and the stage driving circuit 113b is used. The observation visual field is moved by moving the stage 113a. Further, the focus adjustment of the image is performed by the focus driving circuit 115b based on the red blood cell image detected by the autofocus unit 115a. At the same time, the image is picked up by the color CCD camera 116a. Since the number of red blood cells is much larger than that of white blood cells, red blood cells usually exist naturally in the imaging visual field when the imaging visual field is set so as to image white blood cells as an imaging target.
The CCD camera 116a outputs an RGB color image, and this image data is given to the image processing apparatus 120 side.
The imaging unit of the present invention includes the CCD camera 116a, the stage 113a, the stage drive circuit 113b, the autofocus unit 115a, the focus drive circuit 115b, and the like.

  The automatic microscope control unit 118 performs control of the imaging unit and other various controls in the automatic microscope apparatus 110 as described above, data transmission and other communication control with the network side via the network board 117.

  As shown in FIG. 6, the automatic microscope control unit (hereinafter sometimes simply referred to as a control unit) 118 includes a CPU 118a, a ROM 118b, a RAM 118c, and an input / output interface 118d. The ROM 118b stores an operating system, a control program for controlling the operation of the automatic microscope apparatus 110, and data necessary for executing the control program. The CPU 118a can load the control program into the RAM 118c or execute it directly from the ROM 118b. Data obtained as a result of processing by the CPU 118a in this manner is transmitted to each part of the device 110 or the outside of the device 110 (such as the image processing device 120) via the input / output interface 118d, and data necessary for processing by the CPU 118a is The image data is received from each part of the device 110 or from the outside of the device 110 (such as the image processing device 120) through the input / output interface 118d. The CPU 118a can control the operation of the automatic microscope apparatus 110 by executing a control program.

[Configuration of image processing apparatus]
Returning to FIG. 5, the image processing apparatus (processing apparatus) 120 includes a CPU 121, a ROM 122a, a RAM 122b, a display device 123 such as a CRT, an input device such as a keyboard 124a, a dedicated keyboard 124b, and a mouse 124c, and a host I / O. F125, a network board 126, and a hard disk (storage unit) 127. A printer 128 is connected to the image processing apparatus 120.
Further, in the image processing apparatus 120, the RGB color image output from the automatic microscope apparatus 110 is A / D converted by the A / D conversion unit 129a and stored in the image memory 129b. The image stored in the image memory 129b is a processing target by the C plug 121.

  The ROM 122a stores an operating system, a program for executing processing in the image processing apparatus 120, and data necessary for executing the program. The CPU 121 can load the program into the RAM 122b or execute it directly from the ROM 122a. Data obtained as a result of processing by the CPU 121 in this manner is transmitted to the outside of the apparatus 120 (such as the automatic microscope apparatus 110) via the host I / F 125 or the network board 126. It is received from the outside of the apparatus 120 (such as the automatic microscope apparatus 110) through the host I / F or the network board 126.

By executing the program, the CPU 121 performs data processing on the image, calculates feature amounts necessary for blood cell recognition and classification, and performs cell classification and classification based on the feature amounts.
Further, the CPU 121 displays the identification classification result and the blood image on the CRT 123, and stores the blood image in the hard disk 127 for review.

[Flow of imaging processing]
As shown in FIG. 7, when the specimen cassette 42 is detected by the cassette detection sensor 112a of the automatic microscope apparatus 110 (step S1-1), the specimen slide 41 is taken out from the cassette 42 (step S1-2), and the specimen Reading of the specimen storage unit 41a of the slide 41 (reading of barcode) is performed (step S1-3), and the specimen ID (identification information) of the specimen slide 41 is acquired. The acquired specimen ID is transmitted from the automatic microscope apparatus 110 to the image processing apparatus 120 (step S1-4), and the automatic microscope apparatus 110 enters a reception waiting state for imaging conditions (step S1-5).

  As shown in FIG. 8, in the image processing apparatus 120, when the sample ID (identification information) is received from the automatic microscope apparatus 110 (step S2-1), the storage unit (blood analysis information) of the host computer 6 is connected via the network 2. The blood analysis information corresponding to the specimen ID is acquired with reference to the database (step S2-2; blood analysis information acquisition means).

Subsequently, referring to the red blood cell number information in the obtained blood analysis information, it is determined whether or not the red blood cell number indicated by the red blood cell number information is less than a predetermined value (2 million / μL) (step S2-3). . In the present embodiment, the predetermined value (normal reference for the number of red blood cells) is set as the number of red blood cells necessary for performing autofocus in the automatic microscope apparatus 110.
If the number of red blood cells is less than a predetermined value, auto-focusing cannot be performed in the automatic microscope apparatus 110, and imaging cannot be performed effectively. Therefore, imaging stop information is set as imaging condition information so that useless imaging processing is not performed. Then, this information is transmitted to the automatic microscope apparatus 110 (step S2-4).

When the number of red blood cells exceeds a predetermined value (when imaging is performed), the white blood cell count indicated by the white blood cell count information is subsequently determined by referring to the white blood cell count information in the obtained blood cell analysis information. It is determined whether it is less than (200 / μL) (step S2-5). In the present embodiment, the predetermined value (normal reference for white blood cell count) is set as a white blood cell count sufficient to obtain a blood cell imaging number (blood cell count number) necessary for performing blood cell classification in a normal state. .
When the white blood cell count exceeds a predetermined value, an imaging condition (normal imaging condition; first imaging condition) is set with the blood cell count indicating the white blood cell count included in the captured blood image as 100 counts, This imaging condition is transmitted to the automatic microscope apparatus 110 (step S2-6).

  On the other hand, if the white blood cell count indicated by the white blood cell count information is less than a predetermined value, the number of white blood cells in the sample is also small. Imaging is impossible. Therefore, an imaging condition (imaging condition less than normal reference; second imaging condition) set to 50 counts is set as a count number smaller than the normal imaging condition, and this imaging condition is transmitted to the automatic microscope apparatus 110 (step) S2-7).

  In the above description, the imaging stop information and the imaging conditions related to the blood cell count are separately transmitted to the automatic microscope apparatus 110, but may be transmitted together.

  Returning to FIG. 7, when the automatic microscope control unit 117 of the automatic microscope apparatus 110 receives the information of the imaging condition information (imaging condition regarding the imaging stop information and / or blood cell count) (step S1-5), the imaging condition information Whether or not imaging stop information is included is determined (step S1-6).

  When the imaging stop information is included, the specimen slide 41 is transported and stored in the slide storage unit (not shown) of the automatic microscope apparatus 110 without being captured by the imaging unit (step S1-7). As a result, a sample that is difficult to image because the number of red blood cells is small and autofocusing cannot be performed can be processed efficiently because the next sample can be processed immediately without actually performing the imaging process.

On the other hand, if the photographing is not stopped, the specimen slide 41 is transported to the imaging unit (step S1-8), and imaging is performed based on the imaging condition regarding the received blood cell count (step S1-9).
When performing imaging, the control unit 118 determines the imaging condition regarding the received blood cell count, and if the imaging condition is 100 counts (first imaging condition), 100 count imaging of leukocytes (100 white blood cells). If the imaging condition is 50 counts (second imaging condition), the imaging unit is controlled to perform 50 count imaging of white blood cells (imaging 50 white blood cells).
In the present embodiment, when a plurality of white blood cells are included in an image obtained by one imaging, only one white blood cell is extracted for classification, and the blood cell count is counted by one. In this case, the number of imaging = blood cell count.
However, when a plurality of white blood cells are included in an image obtained by one imaging, a plurality of white blood cells may be extracted for classification, and a plurality of blood cell counts may be counted. In this case, the number of imaging is less than the number of blood cell counts, and the necessary number of blood cell counts can be obtained with a smaller number of imaging, which is efficient.

  As described above, in the present embodiment, since the number of images taken is smaller in the second imaging condition than in the first condition, imaging is performed in an attempt to image many white blood cells even though the number of white blood cells is small. It can avoid the situation that it takes a long time.

  FIG. 9 shows an example of a captured image, in which one leukocyte W is shown in the approximate center of the image. A large number of red blood cells R exist around the white blood cells. Autofocus is performed on the basis of these red blood cells.

[Blood cell classification process]
The blood cell image (specimen image; white blood cell digital image) captured as described above is transmitted to the image processing device 120, and based on the sample image, the blood cell (white blood cell) feature extraction process and blood cell (white blood cell) White blood cell) classification processing is performed (blood cell classification means).
The feature extraction processing is performed by dividing the nucleus pixel of the white blood cell specimen image into a pixel corresponding to the nucleus, a pixel related to the cytoplasm, and other pixels.

In the classification process, the type of the target blood cell is identified using the feature parameter related to the nucleus and the feature parameter related to the cytoplasm, and the blood cells are classified according to the number of blood cells counted.
Leukocytes (nucleated blood cells) are classified into six types of mature leukocytes (spotted nucleus neutrophils, segmented nucleus neutrophils, eosinophils, basophils, lymphocytes, monocytes), immature leukocytes 3 It is performed by classifying into seeds (blasts, immature granulocytes, atypical lymphocytes) and erythroblasts. Note that six types of mature leukocytes are normal nucleated blood cells, three types of three immature leukocytes and erythroblasts are nucleated or more blood cells.

  The captured images and classification results are transmitted from the blood imaging apparatus 1 to the host computer 6 together with the sample ID, and are accumulated in the host computer 6. Blood analysis information, captured images, blood cell classification results, etc. accumulated in the host computer can be viewed on a centralized review terminal.

The present invention is not limited to the above embodiment.
For example, in the above embodiment, the blood imaging apparatus 1 acquires the blood analysis information of the sample from the host computer 6, but may acquire it from the blood analysis apparatus 3. Furthermore, when the specimen storage unit (two-dimensional code) 41a of the specimen slide 41 also stores blood analysis information, it may be acquired from the specimen storage unit 41a.

  Further, blood analysis information including white blood cell count information and red blood cell count information may be acquired by the blood imaging apparatus 1 itself. For example, a sample in a blood imaging device is imaged by an imaging unit with a relatively wide field of view, and blood analysis information including the white blood cell count (white blood cell distribution density) and red blood cell count (red blood cell distribution density) on the sample is generated, The imaging conditions may be set based on

It is a block diagram of the test | inspection system containing a blood imaging device. It is a block diagram of a blood analyzer. It is the elements on larger scale of a specimen slide. It is a perspective view of a specimen slide and a cassette. It is a block diagram of an automatic microscope apparatus and an image processing apparatus. It is a block diagram of an automatic microscope control part. It is a process flowchart of an automatic microscope control part. It is a processing flowchart of an image processing device. It is an example of a blood image.

Explanation of symbols

1 Blood imaging device 110 Automatic microscope device (imaging body device)
113a stage (imaging part)
113b Stage drive circuit (imaging part)
114a Microscope (imaging unit)
114b WBC detection unit (imaging unit)
115a Autofocus unit (imaging unit)
115b Focus drive circuit (imaging unit)
116a CCD camera (imaging part)
118 Automatic microscope control unit (control unit)
120 Image processing device (processing device)
3 Blood analyzer 41 Slide glass (specimen carrier)
41a Two-dimensional code (specimen storage unit)
6 Host computer (computer)

Claims (11)

An imaging unit for imaging a blood image of a blood sample of the specimen;
Obtaining means for obtaining blood analysis information including white blood cell count information indicating the white blood cell count in the specimen;
When the white blood cell count indicated by the white blood cell count information acquired by the acquisition means is less than a predetermined value, the blood cell count associated with the number of blood images to be imaged is compared with the case where the white blood cell count is greater than or equal to the predetermined value. A control unit that controls the imaging unit so as to perform imaging with a small setting;
A blood imaging apparatus comprising: An imaging unit for imaging a blood image of a blood sample of the specimen;
Obtaining means for obtaining blood analysis information including red blood cell number information indicating the number of red blood cells in the specimen;
When the red blood cell count indicated by the red blood cell count information acquired by the acquisition means is less than a predetermined value, a control unit that controls the imaging unit so as not to capture a blood image of the blood sample of the sample;
A blood imaging apparatus comprising:   The blood imaging apparatus according to claim 1 or 2, further comprising classification means for classifying at least the white blood cell component based on the imaged blood image.   The said acquisition means acquires the said blood analysis information from the computer which has a memory | storage part in which the said blood analysis information which outputs the said blood analysis information, and / or the said blood analysis information was accumulate | stored. Blood imaging device. The blood specimen is carried by a specimen carrier comprising a specimen storage unit for the blood analysis information,
The blood imaging apparatus according to claim 1, wherein the acquisition unit acquires the blood analysis information from the specimen storage unit.   The blood imaging apparatus according to claim 5, wherein the storage carrier is a two-dimensional code attached to the specimen carrier. Generating blood analysis information including white blood cell count information by a blood analyzer that analyzes blood cell components of blood in the sample and outputs blood analysis information including white blood cell count information indicating the white blood cell count in the sample;
When the white blood cell count indicated by the white blood cell count information is less than a predetermined value, the blood cell count associated with the number of blood images to be captured is set to be smaller than that when the white blood cell count is equal to or greater than the predetermined value. A step of imaging,
A blood imaging method comprising: Generating blood analysis information including red blood cell number information by a blood analyzer that analyzes blood cell components of blood in the sample and outputs blood analysis information including red blood cell number information indicating the number of red blood cells in the sample;
If the red blood cell count indicated by the red blood cell count information is less than a predetermined value, the imaging is not performed, and if the red blood cell count indicated by the red blood cell count information is greater than or equal to a predetermined value, imaging is performed.
A blood imaging method comprising: A processing device for setting imaging conditions in an imaging device that images a blood image of a blood sample of a specimen,
Obtaining means for obtaining blood analysis information including white blood cell count information indicating the white blood cell count in the specimen;
When the white blood cell count indicated by the white blood cell count information acquired by the acquisition means is smaller than a predetermined value, the blood cell count associated with the number of blood images to be imaged is set to be greater than when the white blood cell count is greater than or equal to the predetermined value. Imaging condition setting means for setting imaging conditions with a reduced number,
A processing apparatus comprising: A processing device for setting imaging conditions in an imaging device that images a blood image of a blood sample of a specimen,
Obtaining means for obtaining blood analysis information including red blood cell number information indicating the number of red blood cells in the specimen;
Imaging condition setting means for capturing an image if the red blood cell count indicated by the red blood cell count information acquired by the acquisition means is greater than or equal to a predetermined reference, and setting an imaging condition so as not to perform imaging if the red blood cell count is less than the predetermined reference When,
A processing apparatus comprising: An imaging body device for imaging a blood image of a blood sample of a specimen,
An imaging unit for imaging a blood image of a blood sample of the specimen;
A control unit that receives the imaging condition set by the processing device according to claim 9 or 10 and controls the imaging unit according to the imaging condition;
An imaging main body apparatus comprising: