Chromosome intelligent interpretation and karyotype analysis system and method

Abstract

The invention discloses a chromosome intelligent interpretation and karyotype analysis system and method, and relates to the technical field of chromosomes, and the system comprises an image acquisition module, a chromosome recognition module and a chromosome karyotype analysis module. According to the method, the acquisition coincidence index of each chromosome specimen is evaluated, whether the acquisition of each chromosome specimen is abnormal is judged, and the appearance identification coincidence value of each chromosome specimen is analyzed, so that the analysis error caused by poor image quality is effectively avoided, the accuracy of the chromosome appearance identification coincidence value is improved, and the reliability of the whole karyotype analysis result is improved; the probability of error analysis is reduced, the category of each chromosome is matched, the karyotype graph of the chromosome specimen is obtained, the karyotype of each chromosome specimen is analyzed, a report is generated, and feedback is performed, so that a key basis is provided for disease diagnosis and treatment, the time and energy for manually arranging the chromosomes are saved, and the working efficiency is improved. And meanwhile, the normalization and the accuracy of the karyotype graph are ensured.

Description

Technical Field

[0001] The present invention relates to the field of chromosome technology, and in particular to a chromosome intelligent interpretation and karyotype analysis system and method. Background Art

[0002] In the field of life sciences and medicine, chromosome karyotype analysis is a key technology for diagnosing chromosomal diseases and studying genetic mechanisms. Traditional chromosome karyotype analysis relies on manual observation and identification of chromosome smears under a microscope. This process not only consumes a lot of time and manpower, but also makes it difficult to guarantee the accuracy and consistency of the analysis results. With the development of automation technology, although some chromosome karyotype analysis systems have emerged, when faced with complex situations such as chromosome cross-linking and minor structural variations, there are still problems with insufficient recognition accuracy and limited detection capabilities. In addition, there is a lack of standardization in data management and report generation, making it difficult to meet the efficient needs of clinical diagnosis and scientific research. Therefore, it is urgent to develop more advanced chromosome intelligent interpretation and karyotype analysis systems and methods.

[0003] Existing technologies, such as the invention application patent with announcement number CN117152147B, disclose an online chromosome collaborative analysis method, system, and medium, which obtains chromosome image samples, inputs the chromosome image samples into a scoring model for scoring, and sorts the chromosome images according to the scoring results to generate a chromosome image analysis priority; generates a chromosome analysis report based on the chromosome analysis information, and transmits the chromosome analysis report to a terminal in a predetermined manner, thereby realizing online automatic analysis of the case and outputting the analysis results in real time.

[0004] The existing technology for a chromosome intelligent interpretation and karyotype analysis system and method can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects: the existing technology does not pay enough attention to the pre-processing of the clear images of the collected chromosome specimens, which in turn affects the evaluation of the acquisition compliance index of each chromosome specimen, and lacks judgment on whether the acquisition of each chromosome specimen is abnormal, which in turn affects the analysis of the appearance recognition compliance value of each chromosome specimen, increases the analysis error caused by poor image quality, reduces the accuracy of the chromosome appearance recognition compliance value, and thus reduces the reliability of the entire karyotype analysis results, increases the probability of erroneous analysis, and affects the provision of strong guarantees for the diagnosis of chromosomal diseases.

[0005] The existing technology is not accurate enough in the analysis of the categories to which each chromosome belongs, which affects the identification and classification, affects the karyotype diagram of the chromosome specimen, and affects the analysis of the karyotype of each chromosome specimen. It lacks the ability to judge whether there are abnormalities, affects the generation of reports, slows down the early detection of potential chromosomal diseases, wastes time and energy in manually arranging chromosomes, reduces work efficiency, and reduces the standardization and accuracy of the karyotype diagram. Summary of the Invention

[0006] The purpose of the present invention is to provide a chromosome intelligent interpretation and karyotype analysis system and method, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a chromosome intelligent interpretation and karyotype analysis system, including an image acquisition module, a chromosome recognition module and a chromosome karyotype analysis module.

[0008] Image acquisition module: It is equipped with a high-resolution microscope and image acquisition equipment to obtain clear images of chromosome specimens, and pre-process the clear images of each chromosome specimen collected, evaluate the acquisition compliance index of each chromosome specimen, and judge whether the acquisition of each chromosome specimen is abnormal. If abnormal, re-acquire it; if normal, obtain the chromosome specimen data, and then analyze the appearance recognition compliance value of each chromosome specimen.

[0009] Chromosome identification module: Based on the appearance recognition coincidence value of each chromosome specimen, the chromosome category is matched, and identification and classification are performed to obtain the karyotype diagram of the chromosome specimen.

[0010] Chromosome karyotype analysis module: Based on the obtained karyotype diagram of the chromosome specimen, the karyotype of each chromosome specimen is analyzed to determine whether there is any abnormality, and a report is generated for feedback.

[0011] Furthermore, it also includes a database, which is used to store: the image enhancement difference value compliance interval, the balance value compliance interval, the contrast compliance interval, the median filter value compliance interval of the chromosome specimen, the acquisition compliance index threshold of each chromosome specimen, the reference length of the chromosome specimen, the arm ratio reference value and the reference number of centromeres, the band brightness reference value and reference width of the chromosome specimen, the historical appearance recognition compliance value of each chromosome specimen, the fragment number safety interval of each chromosome specimen, the repetition rate safety interval, and the centromere position offset value safety interval.

[0012] Furthermore, the evaluation of the acquisition coincidence index of each chromosome specimen is specifically analyzed by the following method: pre-processing the collected clear image of each chromosome specimen to obtain the acquisition process data of each chromosome specimen, wherein the acquisition process data includes: the maximum and minimum image brightness values, balance value, contrast, and median filter value of each chromosome specimen; performing difference processing on the maximum and minimum image brightness values ​​of each chromosome specimen to obtain the image enhancement difference value of each chromosome specimen; and extracting the image enhancement difference value compliance interval, balance value compliance interval, contrast compliance interval, and median filter value compliance interval of the chromosome specimen from the database to evaluate the acquisition coincidence index of each chromosome specimen. The specific calculation formula is: dta Represents the ath acquisition process data of the tth chromosome sample, d' a It represents the matching interval of the ath acquisition process data of the chromosome specimen, a∈[1,4], t represents the number of each chromosome specimen, t=1,2,…,s, s represents the number of chromosome specimens.

[0013] Furthermore, the specific analysis method for determining whether the acquisition of each chromosome sample is abnormal is as follows: based on the obtained acquisition coincidence index of each chromosome sample, the acquisition coincidence index of each chromosome sample is compared with the acquisition coincidence index threshold of each chromosome sample stored in the database; if the acquisition coincidence index of a chromosome sample is greater than or equal to the acquisition coincidence index threshold of a chromosome sample, the acquisition coincidence index of the chromosome sample is recorded as W', indicating a normal state, and the chromosome sample data is acquired; otherwise, it is recorded as W, indicating an abnormal state, wherein W'>W.

[0014] Furthermore, the analysis of the appearance recognition coincidence value of each chromosome specimen is specifically performed as follows: based on the obtained chromosome specimen data, wherein the chromosome specimen data includes: the length of each chromosome specimen, the number of centromeres at each position, the arm ratio, the brightness value and width of the band, and then analyzing the body morphology coincidence index f of each chromosome specimen. t The banding index g of each chromosome specimen is consistent with t , analyze the appearance recognition coincidence value of each chromosome specimen, and the specific calculation formula is: Y t =f t +g t .

[0015] Furthermore, the specific analysis method for the external morphological coincidence index of each chromosome specimen is as follows: based on the obtained length, arm ratio and number of centromeres of each chromosome specimen, the reference length, arm ratio reference value and number of centromeres of each chromosome specimen are extracted from the database, and the external morphological coincidence index of each chromosome specimen is analyzed. The specific calculation formula is: Among them, x t It is expressed as the length of the t-th chromosome specimen, x' is the reference length of the chromosome specimen, m t It is expressed as the arm ratio of the t-th chromosome sample, m' is the arm ratio reference value of the chromosome sample, h tr represents the number of centromeres at the r-th position of the t-th chromosome specimen, h represents the reference number of centromeres at the r-th position of the chromosome specimen, where r represents the number of each position, r = 1, 2, ..., l, and l represents the number of positions.

[0016] Furthermore, the banding conformity index of each chromosome specimen is specifically analyzed by: based on the obtained banding brightness value and width of each chromosome specimen, and extracting the banding brightness reference value and reference width of the chromosome specimen from the database, analyzing the banding conformity index of each chromosome specimen, and the specific calculation formula is: Among them, e' and y' represent the reference value and reference width of the chromosome band, e t Expressed as the brightness value of the band of the t-th chromosome sample, y t Expressed as the width of the t-th chromosome sample.

[0017] Furthermore, the matching of the categories of each chromosome specimen is performed for identification and classification to obtain a karyotype diagram of the chromosome specimen. The specific analysis method is as follows: based on the appearance recognition coincidence value of each chromosome specimen obtained, the historical appearance recognition coincidence value of each chromosome specimen is extracted from the database, the appearance recognition coincidence value of each chromosome specimen is compared with the historical appearance recognition coincidence value of each chromosome specimen. If the appearance recognition coincidence value of a chromosome specimen is the same as the historical appearance recognition coincidence value of each chromosome specimen, the category corresponding to the appearance recognition coincidence value of the chromosome specimen is matched, and the category of each chromosome specimen is obtained, and the specimens are arranged in descending order. The chromosome specimen karyotype diagram is generated and numbered.

[0018] Furthermore, the karyotype of each chromosome specimen is analyzed to determine whether there is an abnormality. The specific analysis method is: based on the obtained karyotype diagram of the chromosome specimen, comparative data in the karyotype diagram is extracted, wherein the comparative data includes the number of fragments, repetition rate, and centromere position offset value of each chromosome specimen, and by comparing the comparative data of chromosome specimens stored in the database, if at least one of the number of fragments, repetition rate, and centromere position offset value of a chromosome specimen is not within the qualified range of the number of fragments of a chromosome specimen or the qualified range of the repetition rate or the safe range of the centromere position offset value of a chromosome specimen, it indicates that the chromosome is abnormal, and an abnormality report is generated to provide an abnormality prompt.

[0019] The second aspect of the present invention provides a method for executing the intelligent chromosome interpretation and karyotype analysis system, characterized in that it includes: step 1, image acquisition: using a high-resolution microscope and image acquisition equipment to obtain clear images of chromosome specimens, and pre-processing the clear images of each chromosome specimen collected, evaluating the acquisition compliance index of each chromosome specimen, and judging whether the acquisition of each chromosome specimen is abnormal. If abnormal, re-acquire it; if normal, acquire chromosome specimen data, and then analyze the appearance recognition compliance value of each chromosome specimen.

[0020] Step 2: Chromosome identification: Based on the appearance recognition coincidence value of each chromosome specimen, the category of each chromosome is matched, and identification and classification are performed to obtain the karyotype diagram of the chromosome specimen.

[0021] Step 3: Chromosome karyotype analysis: Based on the obtained karyotype diagram of the chromosome specimen, the karyotype of each chromosome specimen is analyzed to determine whether there is any abnormality, and a report is generated for feedback.

[0022] The beneficial effects of the present invention are: in the image acquisition module: through the equipped high-resolution microscope and image acquisition equipment, a clear image of the chromosome specimen is obtained, and the clear image of each chromosome specimen collected is pre-processed, the acquisition compliance index of each chromosome specimen is evaluated, and it is judged whether the acquisition of each chromosome specimen is abnormal. If abnormal, it is re-acquired; if normal, the chromosome specimen data is acquired, and then the appearance recognition compliance value of each chromosome specimen is analyzed, effectively avoiding analysis errors caused by poor image quality, improving the accuracy of the chromosome appearance recognition compliance value, and thus improving the reliability of the entire karyotype analysis result, reducing the probability of erroneous analysis, and providing a strong guarantee for the accurate diagnosis of chromosomal diseases.

[0023] In the chromosome identification module and chromosome karyotype analysis module: based on the appearance recognition compliance value of each chromosome specimen, the category of each chromosome is matched, identification and classification are performed, and the karyotype diagram of the chromosome specimen is obtained. The karyotype of each chromosome specimen is analyzed to determine whether there is an abnormality, and a report is generated and feedback is provided. This helps to detect potential chromosomal diseases at an early stage, providing a key basis for the diagnosis and treatment of the disease, saving time and energy in manually arranging chromosomes, improving work efficiency, and at the same time ensuring the standardization and accuracy of the karyotype diagram. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 The figure is a schematic flow chart of the steps for implementing the method of the present invention.

[0026] Figure 2 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] Reference Figure 1 As shown, the present invention provides a chromosome intelligent interpretation and karyotype analysis system, including: an image acquisition module, a chromosome recognition module and a chromosome karyotype analysis module.

[0029] It should be noted that the image acquisition module is connected to the chromosome recognition module, the chromosome recognition module is connected to the chromosome karyotype analysis module, and the image acquisition module, chromosome recognition module and chromosome karyotype analysis module are connected to the database respectively.

[0030] Image acquisition module: It is equipped with a high-resolution microscope and image acquisition equipment to obtain clear images of chromosome specimens, and pre-process the clear images of each chromosome specimen collected, evaluate the acquisition compliance index of each chromosome specimen, and judge whether the acquisition of each chromosome specimen is abnormal. If abnormal, re-acquire it; if normal, obtain the chromosome specimen data, and then analyze the appearance recognition compliance value of each chromosome specimen.

[0031] In the above embodiment, a database is also included, which is used to store: the image enhancement difference value compliance interval, the balance value compliance interval, the contrast compliance interval, the median filter value compliance interval of the chromosome specimen, the acquisition compliance index threshold of each chromosome specimen, the reference length, arm ratio reference value and centromere reference number of the chromosome specimen, the band brightness reference value and reference width of the chromosome specimen, the historical appearance recognition compliance value of each chromosome specimen, the fragment number safety interval, the repetition rate safety interval, and the centromere position offset value safety interval of each chromosome specimen.

[0032] It should be noted that the image enhancement difference compliance interval, balance value compliance interval, contrast compliance interval, median filter value compliance interval, acquisition compliance index threshold of each chromosome specimen, reference length of chromosome specimen, arm ratio reference value and centromere reference number, band brightness reference value and reference width of chromosome specimen, historical appearance recognition compliance value of each chromosome specimen, fragment number safety interval of each chromosome specimen, repetition rate safety interval, and centromere position offset value safety interval are set by the staff respectively.

[0033] In the above embodiment, the specific analysis method for evaluating the acquisition coincidence index of each chromosome specimen is as follows: pre-processing the collected clear image of each chromosome specimen to obtain acquisition process data of each chromosome specimen, wherein the acquisition process data includes: the maximum and minimum image brightness values, balance value, contrast, and median filter value of each chromosome specimen; performing difference processing on the maximum and minimum image brightness values ​​of each chromosome specimen to obtain the image enhancement difference value of each chromosome specimen; and extracting the image enhancement difference value coincidence interval, balance value coincidence interval, contrast coincidence interval, and median filter value coincidence interval of the chromosome specimen from the database to evaluate the acquisition coincidence index of each chromosome specimen. The specific calculation formula is: d ta Represents the ath acquisition process data of the tth chromosome sample, d' a It represents the matching interval of the ath acquisition process data of the chromosome specimen, a∈[1,4], t represents the number of each chromosome specimen, t=1,2,…,s, s represents the number of chromosome specimens.

[0034] In the above embodiment, the specific analysis method for determining whether the acquisition of each chromosome sample is abnormal is as follows: based on the obtained acquisition coincidence index of each chromosome sample, the acquisition coincidence index of each chromosome sample is compared with the acquisition coincidence index threshold of each chromosome sample stored in the database. If the acquisition coincidence index of a chromosome sample is greater than or equal to the acquisition coincidence index threshold of a chromosome sample, the acquisition coincidence index of the chromosome sample is recorded as W', indicating a normal state, and the chromosome sample data is acquired. Otherwise, it is recorded as W, indicating an abnormal state, where W'>W.

[0035] In the above embodiment, the analysis of the appearance recognition coincidence value of each chromosome specimen is specifically performed as follows: based on the obtained chromosome specimen data, wherein the chromosome specimen data includes: the length of each chromosome specimen, the number of centromeres at each position, the arm ratio, the brightness value and width of the banding, and then analyzing the body morphology coincidence index f of each chromosome specimen. t The banding index g of each chromosome specimen is consistent with t , analyze the appearance recognition coincidence value of each chromosome specimen, and the specific calculation formula is: Y t =f t +g t .

[0036] In the above embodiment, the specific analysis method of the morphological coincidence index of each chromosome specimen is as follows: based on the obtained length, arm ratio and number of centromeres at each position of each chromosome specimen, the reference length, arm ratio reference value and number of centromeres at each position of the chromosome specimen are extracted from the database, and the morphological coincidence index of each chromosome specimen is analyzed. The specific calculation formula is: Among them, x t It is expressed as the length of the t-th chromosome specimen, x' is the reference length of the chromosome specimen, m t It is expressed as the arm ratio of the t-th chromosome sample, m' is the arm ratio reference value of the chromosome sample, h tr represents the number of centromeres at the r-th position of the t-th chromosome specimen, h represents the reference number of centromeres at the r-th position of the chromosome specimen, where r represents the number of each position, r = 1, 2, ..., l, and l represents the number of positions.

[0037] In the above embodiment, the banding conformity index of each chromosome specimen is specifically analyzed by: based on the obtained banding brightness value and width of each chromosome specimen, and extracting the banding brightness reference value and reference width of the chromosome specimen from the database, analyzing the banding conformity index of each chromosome specimen, and the specific calculation formula is: Among them, e' and y' represent the reference value and reference width of the chromosome band, e t Expressed as the brightness value of the band of the t-th chromosome sample, y t Expressed as the width of the t-th chromosome sample.

[0038] In the image acquisition module: through the equipped high-resolution microscope and image acquisition equipment, clear images of chromosome specimens are obtained, and the clear images of each chromosome specimen collected are pre-processed, the acquisition compliance index of each chromosome specimen is evaluated, and it is judged whether the acquisition of each chromosome specimen is abnormal. If abnormal, it is re-acquired. If normal, the chromosome specimen data is acquired, and then the appearance recognition compliance value of each chromosome specimen is analyzed, effectively avoiding analysis errors caused by poor image quality, improving the accuracy of chromosome appearance recognition compliance value, and thus improving the reliability of the entire karyotype analysis results, reducing the probability of erroneous analysis, and providing a strong guarantee for the accurate diagnosis of chromosomal diseases.

[0039] Chromosome identification module: Based on the appearance recognition coincidence value of each chromosome specimen, the chromosome category is matched, and identification and classification are performed to obtain the karyotype diagram of the chromosome specimen.

[0040] In the above embodiment, the matching of the categories of each chromosome specimen is performed to identify and classify the karyotype diagram of the chromosome specimen. The specific analysis method is as follows: based on the appearance recognition coincidence value obtained for each chromosome specimen, the historical appearance recognition coincidence value of each chromosome specimen is extracted from the database, and the appearance recognition coincidence value of each chromosome specimen is compared with the historical appearance recognition coincidence value of each chromosome specimen. If the appearance recognition coincidence value of a chromosome specimen is the same as the historical appearance recognition coincidence value of each chromosome specimen, the category corresponding to the appearance recognition coincidence value of the chromosome specimen is matched, and the category of each chromosome specimen is obtained. The specimens are arranged in descending order, and the chromosome specimen karyotype diagram is generated and numbered.

[0041] Chromosome karyotype analysis module: Based on the obtained karyotype diagram of the chromosome specimen, the karyotype of each chromosome specimen is analyzed to determine whether there is any abnormality, and a report is generated for feedback.

[0042] In the above embodiment, the karyotype of each chromosome specimen is analyzed to determine whether there is an abnormality. The specific analysis method is as follows: based on the obtained karyotype diagram of the chromosome specimen, comparative data in the karyotype diagram is extracted, wherein the comparative data includes the number of fragments, repetition rate, and centromere position offset value of each chromosome specimen, and by comparing the comparative data of chromosome specimens stored in the database, if at least one of the number of fragments, repetition rate, and centromere position offset value of a chromosome specimen is not within the qualified range of the number of fragments of the chromosome specimen, the qualified range of the repetition rate, or the safe range of the centromere position offset value of the chromosome specimen, it indicates that the chromosome is abnormal, and an abnormality report is generated to provide an abnormality prompt.

[0043] Reference Figure 2 As shown, the present invention provides a method for a chromosome intelligent interpretation and karyotype analysis system, characterized by comprising: step 1, image acquisition: using a high-resolution microscope and image acquisition equipment to obtain a clear image of the chromosome specimen, and pre-processing the collected clear image of each chromosome specimen, evaluating the acquisition compliance index of each chromosome specimen, and judging whether the acquisition of each chromosome specimen is abnormal. If abnormal, re-acquire the specimen; if normal, obtain chromosome specimen data, and then analyze the appearance recognition compliance value of each chromosome specimen.

[0044] Step 2: Chromosome identification: Based on the appearance recognition coincidence value of each chromosome specimen, the category of each chromosome is matched, and identification and classification are performed to obtain the karyotype diagram of the chromosome specimen.

[0045] Step 3: Chromosome karyotype analysis: Based on the obtained karyotype diagram of the chromosome specimen, the karyotype of each chromosome specimen is analyzed to determine whether there is any abnormality, and a report is generated for feedback.

[0046] In the chromosome identification module and chromosome karyotype analysis module: based on the appearance recognition compliance value of each chromosome specimen, the category of each chromosome is matched, identification and classification are performed, and the karyotype diagram of the chromosome specimen is obtained. The karyotype of each chromosome specimen is analyzed to determine whether there is an abnormality, and a report is generated and feedback is provided. This helps to detect potential chromosomal diseases at an early stage, providing a key basis for the diagnosis and treatment of the disease, saving time and energy in manually arranging chromosomes, improving work efficiency, and at the same time ensuring the standardization and accuracy of the karyotype diagram.

[0047] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A chromosome intelligent interpretation and karyotype analysis system, characterized in that: include: Image acquisition module: It is equipped with a high-resolution microscope and image acquisition equipment to obtain clear images of chromosome specimens, pre-process the clear images of each chromosome specimen, evaluate the acquisition compliance index of each chromosome specimen, and determine whether the acquisition of each chromosome specimen is abnormal. If abnormal, the specimen is re-acquired. If normal, the chromosome specimen data is acquired and the appearance recognition compliance value of each chromosome specimen is analyzed; Chromosome identification module: Based on the appearance recognition coincidence value of each chromosome specimen, it matches the category of each chromosome, performs identification and classification, and obtains the karyotype diagram of the chromosome specimen; Chromosome karyotype analysis module: Based on the obtained karyotype diagram of the chromosome specimen, the karyotype of each chromosome specimen is analyzed to determine whether there is any abnormality, and a report is generated for feedback.

2. The chromosome intelligent interpretation and karyotype analysis system according to claim 1, characterized in that: It also includes a database, which is used to store: image enhancement difference value compliance intervals, balance value compliance intervals, contrast compliance intervals, median filter value compliance intervals, acquisition compliance index thresholds of each chromosome sample, reference lengths, arm ratio reference values ​​and centromere reference numbers of chromosome samples, band brightness reference values ​​and reference widths of chromosome samples, historical appearance recognition compliance values ​​of each chromosome sample, fragment number safety intervals, repetition rate safety intervals, and centromere position offset value safety intervals of each chromosome sample.

3. The chromosome intelligent interpretation and karyotype analysis system according to claim 1, characterized in that: The specific analysis method for evaluating the acquisition coincidence index of each chromosome specimen is as follows: The collected clear images of each chromosome specimen were preprocessed to obtain the acquisition process data of each chromosome specimen, wherein the acquisition process data included: the maximum and minimum values ​​of the image brightness, balance value, contrast, and median filter value of each chromosome specimen. The maximum and minimum values ​​of the image brightness of each chromosome specimen were subjected to difference processing to obtain the image enhancement difference of each chromosome specimen. The image enhancement difference compliance interval, balance value compliance interval, contrast compliance interval, and median filter value compliance interval of the chromosome specimen were extracted from the database to evaluate the acquisition compliance index of each chromosome specimen. The specific calculation formula is: d ta It represents the ath acquisition process data of the tth chromosome sample, d' a It represents the matching interval of the ath acquisition process data of the chromosome specimen, a∈[1,4], t represents the number of each chromosome specimen, t=1,2,…,s, s represents the number of chromosome specimens.

4. The chromosome intelligent interpretation and karyotype analysis system according to claim 1, characterized in that: The specific analysis method for determining whether the acquisition of each chromosome sample is abnormal is as follows: Based on the obtained acquisition coincidence index of each chromosome sample, the acquisition coincidence index of each chromosome sample is compared with the acquisition coincidence index threshold of each chromosome sample stored in the database. If the acquisition coincidence index of a chromosome sample is greater than or equal to the acquisition coincidence index threshold of a chromosome sample, the acquisition coincidence index of the chromosome sample is recorded as W', indicating a normal state, and the chromosome sample data is obtained. Otherwise, it is recorded as W, indicating an abnormal state, where W'>W.

5. The chromosome intelligent interpretation and karyotype analysis system according to claim 1, characterized in that: The specific analysis method for analyzing the appearance recognition coincidence value of each chromosome specimen is as follows: Based on the obtained chromosome specimen data, the chromosome specimen data includes: the length of each chromosome specimen, the number of centromeres in each part, the arm ratio, the brightness value and width of the band, and then analyze the body morphology of each chromosome specimen. t The banding index g of each chromosome specimen is consistent with t , analyze the appearance recognition coincidence value of each chromosome specimen, and the specific calculation formula is: Y t =f t +g t .

6. The chromosome intelligent interpretation and karyotype analysis system according to claim 5, characterized in that: The specific analysis method of the external morphology conformity index of each chromosome specimen is as follows: Based on the obtained length, arm ratio and number of centromeres of each chromosome specimen, and the reference length, arm ratio and number of centromeres of each chromosome specimen extracted from the database, the morphological coincidence index of each chromosome specimen was analyzed. The specific calculation formula is: Among them, x t It is expressed as the length of the t-th chromosome specimen, x' is the reference length of the chromosome specimen, m t It is expressed as the arm ratio of the t-th chromosome sample, m' is the arm ratio reference value of the chromosome sample, h tr represents the number of centromeres at the r-th position of the t-th chromosome specimen, h represents the reference number of centromeres at the r-th position of the chromosome specimen, where r represents the number of each position, r = 1, 2, ..., l, and l represents the number of positions.

7. The chromosome intelligent interpretation and karyotype analysis system according to claim 5, characterized in that: The specific analysis method of the banding coincidence index of each chromosome specimen is as follows: Based on the obtained band brightness value and width of each chromosome specimen, and the reference band brightness value and reference width of the chromosome specimen extracted from the database, the band pattern coincidence index of each chromosome specimen was analyzed. The specific calculation formula is: Among them, e' and y' represent the reference value and reference width of the chromosome band, e t Expressed as the brightness value of the band of the t-th chromosome sample, y t Expressed as the width of the t-th chromosome sample.

8. The chromosome intelligent interpretation and karyotype analysis system according to claim 1, characterized in that: The matching of the categories of the chromosome specimens is performed to identify and classify the karyotype of the chromosome specimens. The specific analysis method is as follows: Based on the appearance recognition coincidence value obtained for each chromosome specimen, the historical appearance recognition coincidence value of each chromosome specimen is extracted from the database, and the appearance recognition coincidence value of each chromosome specimen is compared with the historical appearance recognition coincidence value of each chromosome specimen. If the appearance recognition coincidence value of a chromosome specimen is the same as the historical appearance recognition coincidence value of each chromosome specimen, the category corresponding to the appearance recognition coincidence value of the chromosome specimen is matched, and then the category of each chromosome specimen is obtained, arranged in descending order, and a chromosome specimen karyotype diagram is generated and numbered.

9. The chromosome intelligent interpretation and karyotype analysis system according to claim 1, characterized in that: The karyotype of each chromosome specimen is analyzed to determine whether there is an abnormality. The specific analysis method is as follows: Based on the obtained karyotype diagram of the chromosome specimen, comparative data in the karyotype diagram is extracted, wherein the comparative data includes the number of segments, repetition rate, and centromere position offset value of each chromosome specimen, and by comparing the comparative data of the chromosome specimens stored in the database, if at least one of the number of segments, repetition rate, and centromere position offset value of a chromosome specimen is not within the qualified range of the number of segments of a chromosome specimen or the qualified range of the repetition rate or the safe range of the centromere position offset value of a chromosome specimen, it indicates that the chromosome is abnormal, and an abnormality report is generated to provide an abnormality prompt.

10. A method for executing the chromosome intelligent interpretation and karyotype analysis system according to any one of claims 1 to 9, characterized in that: include: Step 1: Image acquisition: Use the equipped high-resolution microscope and image acquisition equipment to obtain clear images of chromosome specimens, pre-process the clear images of each chromosome specimen, evaluate the acquisition compliance index of each chromosome specimen, and determine whether the acquisition of each chromosome specimen is abnormal. If abnormal, re-acquire the specimen; if normal, obtain the chromosome specimen data, and then analyze the appearance recognition compliance value of each chromosome specimen; Step 2: Chromosome identification: Based on the appearance recognition coincidence value of each chromosome specimen, match the category of each chromosome, identify and classify it, and obtain the karyotype diagram of the chromosome specimen; Step 3: Chromosome karyotype analysis: Based on the obtained karyotype diagram of the chromosome specimen, the karyotype of each chromosome specimen is analyzed to determine whether there is any abnormality, and a report is generated for feedback.

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