CN104459172A - Automatic bone marrow sample processing device, and automated analyzing and radiograph reading method thereof - Google Patents
Automatic bone marrow sample processing device, and automated analyzing and radiograph reading method thereof Download PDFInfo
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Abstract
The invention relates to an automatic bone marrow sample processing device, and an automatic analyzing and radiograph reading method thereof. The device combines automatic staining technology, sample quality automatic detection technology, encrpytion technology, microscopical technology and image processing technology, and can realize the all-around automation of staining, scanning and radiograph reading. The automatic radiograph reading method comprises the steps of firstly, performing low-power lens complete sample scanning and splicing, so as to obtain a low-power lens complete sample panoramic image, then inputting an interested characteristic parameter set, and finally performing high-power lens interested region scanning and splicing, so as to obtain a high-power lens interested region panoramic image set. Compared with the traditional bone marrow sample processing and radiograph reading method, the automatic analyzing and radiograph reading method has the advantages that the problem that the complete marrow sample quality cannot be checked by doctors on the whole is solved, and the radiograph reading speed and accuracy of doctors are improved. The low-power lens panoramic image and the high-power lens panoramic image set obtained can serve as an objective base and experimental data for clinical diagnosis and provide a necessary support for the development of myelopathy diagnostics, and are huge in social benefit.
Description
Technical field
The present invention relates to a kind of robotization sample of bone marrow treating apparatus and automated analysis, diagosis method, belong to biologic medical and detect analytical instrument and method and technology field, particularly the treating apparatus of human marrow sample and automated analysis, diagosis method.
Background technology
Blood cell morphology inspection is the big event that the diagnosis of blood disease basis is checked with routine hematology, is the most basic simple and practical inspection method.Blood cell morphology inspection mainly comprises marrow and peripheral blood cells form checks two parts.The height of blood cell morphology quality inspection is the key of the especially hemopathic prevention of numerous disease, diagnosis, antidiastole and Index for diagnosis.But in clinical practice diagnosis, often lack unified standard test method and test condition, and due to laboratory inspection peopleware different, often there is subjectivity, one-sidedness in testing result, lack objective diagnosis data etc., for clinic diagnosis work brings negative effect.Especially Morphology of Bone Marrow is complicated, and the diagosis for bone marrow cell proposes stricter requirement to diagnostic personnel.
The dyeing work of traditional sample of bone marrow, Sample need of work staff people are for carrying out, in dyeing course, need doctor oneself estimated time, after sample completes dyeing, staff is also needed to carry out sample quality detection according to the standard of subjectivity, cause inefficiency, accuracy rate is not high.According to the standard operation requirement of clinical diagnosis, inspection doctor has often needed the morphological analysis of more than 500 karyocytes to the diagnosis of bone marrow cell, therefore need the long manual operation of inspection doctor, easily cause diagnosis efficiency low, and waste of manpower resource.In addition, traditional sample of bone marrow diagosis needs manually to carry out completely, first doctor will select area-of-interest under low power lens, then mobile platform carries out high power lens scanning to this region, if area-of-interest is too much, doctor repeatedly will carry out the switching of high low power lens, such extreme influence efficiency, and through repeatedly regional choice, doctor on the whole to area-of-interest collective analysis, cannot can reduce accuracy rate of diagnosis like this.A kind of method that patent discloses micro-multispectral marrow and peripheral blood cells automatic analyzer and analysis marrow and peripheral blood cells of Authorization Notice No. CN 1296699C, but this spectral analysis process image process is too complicated, length consuming time, be not suitable for clinical practice, and this automatic analyzer only achieves scanning, image analysis processing robotization, the Omnibearing automatic of the sub-scannings such as the detection of unrealized sample dyeing, sample quality, image procossing.In addition, patent CN 101407759A " cellanalyzer and analytical approach " and patent CN 103604737A " a kind of robotization blood cell recognition device and method of work " carries out around the robotization of scan sample, and all adopt artificially colored, manual quality checks, thoroughly break through traditional blood cell sample roadmap not yet, therefore, clinical examination doctor active demand can have automatic staining, automatic detection sample quality, automatic analysis, read the full-automatic device that Morphology of Bone Marrow is integrated, assist clinicians completes the diagnosis of bone marrow cell sample, and retain objective diagnostic data.
Summary of the invention
In order to overcome the defect of prior art, solve the problems of the technologies described above, the invention provides a kind of robotization sample of bone marrow treating apparatus and automated analysis, diagosis method, automatic staining technology, sample quality Automatic Measurement Technique, encryption technology, microtechnic and image processing techniques combine by it, can realize dyeing, scanning, diagosis robotization.Compare with diagosis method with traditional sample of bone marrow process, efficiency and accuracy rate improve greatly, the low power lens panorama sketch that the present invention obtains and high power lens panorama atlas can as the objective basis of clinical diagnosis and experimental datas, development for myelopathy diagnostics provides necessary support, and social benefit is huge.
The present invention relates to a kind of robotization sample of bone marrow treating apparatus, it is achieved in that it comprises automatic staining device (2), sample quality pick-up unit (4), microscope (5) and computing machine (10); It is characterized in that:
A, there is a timekeeping system (1), its core component is timer (11), it is arranged on automatic staining device (2), and the communication interface of computing machine (10) is connected by signal wire, for the calculating to sample of bone marrow dyeing time, and transmit dyeing time data to computing machine (10) by signal wire in real time;
B, there is a warning system (3), its core component is alarm (12) and high-definition camera (13), (12) are provided with red light and green light with alarm, warning system (3) is arranged on sample quality pick-up unit (4), and is connected the communication interface of computing machine (10) by signal wire;
C, have an encryption system (6), its core component is barcode scanner (7), and it is arranged on microscope (5), and connects the automatic carrier control system (14) in the communication interface of computing machine (10) and automatic carrier (9) by signal wire;
D, have an object lens converting system (8), it is configured on microscope (5), and computing machine (10), by the control to object lens converting system (8), realizes the switching of high power objective and low power objective.
Preferably, the frequency of timer (11) is 1000HZ.
Preferably, the scanning height of bar-code scanner (9) is 4cm, and sweep limit is 5cm*5cm.
Preferably, the rotational angle of object lens converting system (8) is 360 degree.
In addition, present invention also offers a kind of analytical approach of robotization sample of bone marrow treating apparatus, comprise the following steps:
(1) sample of bone marrow is placed in automatic staining device (2) by operator, and opens the software systems on computing machine (10);
(2) computing machine (10) control automatic staining device (2) starts to dye to sample;
(3) automatic staining device (2) by the signal wire real-time Transmission dyeing time data of timekeeping system (1) to computing machine (10), computing machine (10) is controlled automatic staining device (2) by time data: computing machine (10) is according to the time parameter of dyeing, judge whether automatic staining device (2) reaches standard-required to the dyeing time of sample of bone marrow, and by signal wire command data to timekeeping system (1), control restarting and stopping of timekeeping system (1), timekeeping system (1) obtains restarting of computing machine (10) and after ceasing and desisting order, control automatic staining device (2) to start and stop,
(4) after having dyeed, sample is placed in sample quality pick-up unit (4) by operator, computing machine (10) by signal wire control sample testing apparatus starts to detect sample, sample testing apparatus (4) by signal wire real-time Transmission sample image to computing machine (10);
(5) computing machine (10) is arranged warning system (3) by sample image data: when sample quality detection system (4) detects sample of bone marrow, high-definition camera (13) in warning system (3) captures the image information of sample, and by warning system (3) transmitting image information to computing machine (10), after image information analyzed by computing machine (10), calculate the grey scale difference data of image, and make comparisons with standard-required, if reach requirement, computing machine (10) transmits "Yes" order to warning system (3) by signal wire, after warning system (3) receives "Yes" order, control the green light flicker on alarm (12), otherwise, when sample image do not reach require time, computing machine (10) by signal wire transmission "No" order to warning system (3), after warning system (3) receives "No" order, control the blinking red lamp on alarm (12), thus realize the automatic detection of sample quality,
(6) sample quality detect qualified after, sample is placed on automatic carrier (9) by operator, and the bar code information on sample is transferred to computing machine (10) by signal wire by encryption system (6);
(7) computing machine (10) is controlled encryption system (6) by bar code information: before sample of bone marrow starts scanning, computing machine (10) by signal wire transmission command to after encryption system (6), encryption system (6) to be locked automatic carrier (9) to automatic carrier control system (14) by signal wire transmission command, and the bar code information controlled in barcode scanner (7) scanned samples, computing machine (10) is transferred to by signal wire, analyze after computing machine (10) obtains bar code information, obtain the enciphered data in information, and compare with normal data, if meet normal data requirement, computing machine (10) by signal wire transmission command to encryption system (6), encryption system (6) by signal wire transmission command to automatic carrier control system (14), unlock automatic carrier (9),
(8) encryption is by rear, starts scanned samples, i.e. diagosis: comprise the following steps:
A microscope (5) scans above-mentioned sample of bone marrow under low power lens, and continuous sweep M is capable, N row, obtains that continuous print M is capable, N row cyclogram, composition atlas A;
B utilizes image split-joint method, and above-mentioned atlas A is combined as panorama sketch I;
C determines that area-of-interest (ROI) selects set of eigenvectors V;
D, according to selection set of eigenvectors V process panorama sketch I, finds area-of-interest collection S{s1, s2 ... .Sn};
E utilizes computing machine (10) to the control of object lens converting system (8), microscopical low power objective is switched to high power objective, then under high power lens, scans area-of-interest collection Si(i successively and belong to [1, n]), for each area-of-interest, continuous sweep Mi is capable, Ni arranges (i belongs to [1, n]), composition visual field atlas Bi(i belongs to [1, n]), finally obtain cyclogram set B B1 ... .Bn};
F, to each visual field atlas Bi, utilizes image split-joint method, is combined as panorama sketch Ki, finally obtains panorama sketch set K{K1. ... .Kn}.
The region of described low power lens scanned samples is bulk sample one's respective area, and it is selected region with traditional doctor and compares, and has more fully Data support.
Described area-of-interest characteristic parameter collection, trained by Study first and obtain, dimensional extent is variable, and compared with traditional subjective characteristics parameter, this characteristic parameter collection possesses stability, repeatability and accuracy.
Described low power lens panorama sketch is that doctor carries out the foundation of pathological diagnosis and the data source of training area-of-interest characteristic parameter collection.
Described high power lens panorama atlas is the data source extracting bone marrow cell image.
Compared with prior art, a kind of robotization sample of bone marrow treating apparatus that the present invention relates to and analysis thereof, diagosis method, have the following advantages and progress significantly:
1, the automatic staining device adopting timekeeping system to control, can break through traditional artificially colored method, time-saving and efficiency;
2, the sample quality pick-up unit adopting warning system to control, solves the subjective criterion uncertain problem of hand inspection sample quality, introduces objective standard, improves accuracy rate;
3, in diagosis method, first the full scan sample of low power lens and splicing is carried out, then feature of interest parameter set is inputted, finally carry out scanning and the splicing of high power lens area-of-interest, obtain high power lens area-of-interest panorama atlas, solve the problem that doctor cannot check whole sample of bone marrow quality on the whole, improve speed and the accuracy rate of doctor's diagosis.
4, have employed encryption system, data analysis is safe and reliable.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of whole robotization sample of bone marrow treating apparatus, wherein, and 1-timekeeping system, 2-automatic staining device, 3-warning system, 4-sample quality pick-up unit, 5-microscope, 6-encryption system, 7-barcode scanner, 8-object lens converting system, 9-automatic carrier, 10-computing machine, 11-timer, 12-alarm, 13-high-definition camera, 14-automatic carrier control system.
Fig. 2 is the workflow diagram of the present invention's microscope scanning diagosis.
Fig. 3 is the typical marrow image of a width.
The schematic diagram of Fig. 4 to be image mosaic be panorama sketch.
Embodiment
The present invention is described in detail in conjunction with the embodiments.But should be understood that following examples are only illustrating embodiment of the present invention, but not scope of the present invention is limited.
Embodiment 1:
Be described further as follows below in conjunction with accompanying drawing to technical scheme of the present invention:
Fig. 1 is an embodiment of a kind of robotization sample of bone marrow of the present invention treating apparatus.
It comprises automatic staining device (2), sample quality pick-up unit (4), microscope (5) and computing machine (10); Also have: a, have a timekeeping system (1), its core component is timer (11), it is arranged on automatic staining device (2), and the communication interface of computing machine (10) is connected by signal wire, for the calculating to sample of bone marrow dyeing time, and transmit dyeing time data to computing machine (10) by signal wire in real time; B, there is a warning system (3), its core component is alarm (12) and high-definition camera (13), (12) are provided with red light and green light with alarm, warning system (3) is arranged on sample quality pick-up unit (4), and is connected the communication interface of computing machine (10) by signal wire; C, have an encryption system (6), its core component is barcode scanner (7), and it is arranged on microscope (5), and connects communication interface and the automatic carrier control system (14) of computing machine (10) by signal wire; D, have an object lens converting system (8), it is configured on microscope (5), and computing machine (10), by the control to object lens converting system (8), realizes the switching of high power objective and low power objective.
Fig. 2,3,4 is embodiments of the method with robotization sample of bone marrow treating apparatus analysis of the present invention, diagosis sample of bone marrow:
First sample of bone marrow is placed in automatic staining device (2) by operator, and the software systems of opening on computing machine (10), then computing machine (10) control automatic staining device (2) starts to dye to sample, automatic staining device (2) by the signal wire real-time Transmission dyeing time data of timekeeping system (1) to computing machine (10), computing machine (10) is controlled automatic staining device (2) by time data: computing machine (10) is according to the time parameter of dyeing, judge whether automatic staining device (2) reaches standard-required to the dyeing time of sample of bone marrow, and by signal wire command data to timekeeping system (1), control restarting and stopping of timekeeping system (1), timekeeping system (1) obtains restarting of computing machine (10) and after ceasing and desisting order, control automatic staining device (2) to start and stop, after having dyeed, sample is placed in sample quality pick-up unit (4) by operator, computing machine (10) by signal wire control sample testing apparatus starts to detect sample, sample testing apparatus (4) by signal wire real-time Transmission sample image to computing machine (10), computing machine (10) is arranged warning system (3) by sample image data: when sample quality detection system (4) detects sample of bone marrow, high-definition camera (13) in warning system (3) captures the image information of sample, and by warning system (3) transmitting image information to computing machine (10), after image information analyzed by computing machine (10), calculate the grey scale difference data of image, and make comparisons with standard-required, if reach requirement, computing machine (10) transmits "Yes" order to warning system (3) by signal wire, after warning system (3) receives "Yes" order, control the green light flicker on alarm (12), otherwise, when sample image do not reach require time, computing machine (10) by signal wire transmission "No" order to warning system (3), after warning system (3) receives "No" order, control the blinking red lamp on alarm (12), thus realize the automatic detection of sample quality, after sample quality detection is qualified, sample is placed on automatic carrier (9) by operator, and the bar code information on sample is transferred to computing machine (10) by signal wire by encryption system (6), then computing machine (10) is controlled encryption system (6) by bar code information: before sample of bone marrow starts scanning, computing machine (10) by signal wire transmission command to after encryption system (6), encryption system (6) to be locked automatic carrier (15) to automatic carrier control system (14) by signal wire transmission command, and the bar code information controlled in barcode scanner (7) scanned samples, and be transferred to computing machine (10) by signal wire, analyze after computing machine (10) obtains bar code information, obtain the enciphered data in information, and compare with normal data, if meet normal data requirement, computing machine (10) by signal wire transmission command to encryption system (6), encryption system (6) by signal wire transmission command to automatic carrier control system (14), unlock automatic carrier (9), finally encrypt by rear, start scanned samples, i.e. diagosis.
Fig. 2 is the workflow diagram of the present invention's microscope scanning diagosis, comprises the following steps: first use microscope (5) to scan above-mentioned sample of bone marrow under low power lens, continuous sweep M is capable, N row, obtains that continuous print M is capable, N row cyclogram, composition atlas A, recycling image split-joint method, is combined as panorama sketch I by above-mentioned atlas A, then determine that area-of-interest (ROI) selects set of eigenvectors V, according to selection set of eigenvectors V process panorama sketch I, find area-of-interest collection S{s1, s2 ... .Sn}, then utilize computing machine (10) to the control of object lens converting system (8), microscopical low power objective is switched to existing high power objective, then under high power lens, scan area-of-interest collection Si(i successively and belong to [1, n]), for each area-of-interest, continuous sweep Mi is capable, (i belongs to Ni row [1, n]), composition visual field atlas Bi(i belongs to [1, n]), obtain cyclogram set B { B1, .Bn}, then to each visual field atlas Bi, utilize image split-joint method, be combined as panorama sketch Ki, finally obtain panorama sketch set K{K1. ... .Kn}.
Fig. 3 is the typical marrow field-of-view image of a width.
Fig. 4 is the process instance of image mosaic.Image 1 ~ 4 is the marrow image of adjacent fields, and 5 is the image that image 1 ~ 4 is spliced.
Claims (11)
1. a robotization sample of bone marrow treating apparatus, it comprises automatic staining device (2), sample quality pick-up unit (4), microscope (5) and computing machine (10); It is characterized in that:
A, there is a timekeeping system (1), its core component is timer (11), it is arranged on automatic staining device (2), and the communication interface of computing machine (10) is connected by signal wire, for the calculating to sample of bone marrow dyeing time, and transmit dyeing time data to computing machine (10) by signal wire in real time;
B, there is a warning system (3), its core component is alarm (12) and high-definition camera (13), (12) are provided with red light and green light with alarm, warning system (3) is arranged on sample quality pick-up unit (4), and is connected the communication interface of computing machine (10) by signal wire;
C, have an encryption system (6), its core component is barcode scanner (7), and it is arranged on microscope (5), and connects the automatic carrier control system (14) in the communication interface of computing machine (10) and automatic carrier (9) by signal wire;
D, have an object lens converting system (8), it is configured on microscope (5), and computing machine (10), by the control to object lens converting system (8), realizes the switching of high power objective and low power objective.
2. a kind of robotization sample of bone marrow treating apparatus according to claim 1, is characterized in that, the frequency of timer (11) is 1000HZ.
3. a kind of robotization sample of bone marrow treating apparatus according to claim 1, is characterized in that, the scanning height of bar-code scanner (9) is 4cm, and sweep limit is 5cm*5cm.
4. a kind of robotization sample of bone marrow treating apparatus according to claim 1, is characterized in that, the rotational angle of object lens converting system (8) is 360 degree.
5. an automatic partition analysis method for robotization sample of bone marrow treating apparatus according to claim 1, is characterized in that: the method comprises the following steps:
(1) sample of bone marrow is placed in automatic staining device (2) by operator, and opens the software systems on computing machine (10);
(2) computing machine (10) control automatic staining device (2) starts to dye to sample;
(3) automatic staining device (2) by the signal wire real-time Transmission dyeing time data of timekeeping system (1) to computing machine (10), computing machine (10) is controlled automatic staining device (2) by time data: computing machine (10) is according to the time parameter of dyeing, judge whether automatic staining device (2) reaches standard-required to the dyeing time of sample of bone marrow, and by signal wire command data to timekeeping system (1), control restarting and stopping of timekeeping system (1), timekeeping system (1) obtains restarting of computing machine (10) and after ceasing and desisting order, control automatic staining device (2) to start and stop,
(4) after having dyeed, sample is placed in sample quality pick-up unit (4) by operator, computing machine (10) by signal wire control sample testing apparatus starts to detect sample, sample testing apparatus (4) by signal wire real-time Transmission sample image to computing machine (10);
(5) computing machine (10) is arranged warning system (3) by sample image data: when sample quality detection system (4) detects sample of bone marrow, high-definition camera (13) in warning system (3) captures the image information of sample, and by warning system (3) transmitting image information to computing machine (10), after image information analyzed by computing machine (10), calculate the grey scale difference data of image, and make comparisons with standard-required, if reach requirement, computing machine (10) transmits "Yes" order to warning system (3) by signal wire, after warning system (3) receives "Yes" order, control the green light flicker on alarm (12), otherwise, when sample image do not reach require time, computing machine (10) by signal wire transmission "No" order to warning system (3), after warning system (3) receives "No" order, control the blinking red lamp on alarm (12), thus realize the automatic detection of sample quality,
(6) sample quality detect qualified after, sample is placed on automatic carrier (9) by operator, and the bar code information on sample is transferred to computing machine (10) by signal wire by encryption system (6);
(7) computing machine (10) is controlled encryption system (6) by bar code information: before sample of bone marrow starts scanning, computing machine (10) by signal wire transmission command to after encryption system (6), encryption system (6) to be locked automatic carrier (9) to automatic carrier control system (14) by signal wire transmission command, and the bar code information controlled in barcode scanner (7) scanned samples, computing machine (10) is transferred to by signal wire, analyze after computing machine (10) obtains bar code information, obtain the enciphered data in information, and compare with normal data, if meet normal data requirement, computing machine (10) by signal wire transmission command to encryption system (6), encryption system (6) by signal wire transmission command to automatic carrier control system (14), unlock automatic carrier (9),
(8) encryption is by rear, starts scanned samples, i.e. diagosis.
6. automatic partition analysis method according to claim 4, is characterized in that: the diagosis in described step (8) comprises the following steps:
A microscope (5) scans above-mentioned sample of bone marrow under low power lens, and continuous sweep M is capable, N row, obtains that continuous print M is capable, N row cyclogram, composition atlas A;
B utilizes image split-joint method, and above-mentioned atlas A is combined as low power lens panorama sketch I;
C determines area-of-interest (ROI) set of eigenvectors V;
D, according to set of eigenvectors V process panorama sketch I, finds area-of-interest collection S{s1, s2 ... .Sn};
E utilizes computing machine (10) to the control of object lens converting system (8), microscopical low power objective is switched to high power objective, then under high power lens, scans area-of-interest collection Si(i successively and belong to [1, n]), for each area-of-interest, continuous sweep Mi is capable, Ni arranges (i belongs to [1, n]), composition visual field atlas Bi(i belongs to [1, n]), finally obtain cyclogram set B B1 ... .Bn};
F, to each visual field atlas Bi, utilizes image split-joint method, is combined as panorama sketch Ki, finally obtains panorama sketch set K{K1. ... .Kn}.
7. the robotization diagosis method of a sample of bone marrow treating apparatus according to claim 1, it is characterized in that, its working routine comprises the following steps: a, low power lens scanned samples, and continuous sweep M is capable, N row, obtain that continuous print M is capable, N row cyclogram, composition atlas A; B, splicing low power lens atlas A are low power lens panorama sketch I; C, determine area-of-interest (ROI) set of eigenvectors V; D, according to set of eigenvectors V process panorama sketch I, find area-of-interest collection S{s1, s2 ... .Sn}; E, utilize computing machine (10) to the control of object lens converting system (8), microscopical low power objective is switched to existing high power objective, area-of-interest collection Si is scanned successively with high power lens, for each area-of-interest, continuous sweep Mi is capable, Ni row, composition visual field atlas Bi, finally obtains cyclogram set B; F, to each visual field atlas Bi, utilize image split-joint method, be combined as panorama sketch Ki, finally obtain panorama sketch set K.
8. robotization diagosis method according to claim 6, is characterized in that, the region of described low power lens scanned samples is bulk sample one's respective area.
9. robotization diagosis method according to claim 6, is characterized in that, described area-of-interest characteristic parameter collection, and trained obtaining by Study first, dimensional extent is variable.
10. robotization diagosis method according to claim 6, is characterized in that, low power lens panorama sketch is that doctor carries out the foundation of pathological diagnosis and the data source of training area-of-interest characteristic parameter collection.
11. robotization diagosis methods according to claim 6, is characterized in that, high power lens panorama atlas is the data source extracting bone marrow cell image.
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| CN113870229A (en) * | 2021-09-29 | 2021-12-31 | 北京长木谷医疗科技有限公司 | Method, device, equipment and storage medium for processing image data of proximal femoral medullary cavity |
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