CN111209895B - Bacterial contamination detection system and method for intravenous drug preparation sample and storage medium - Google Patents
Bacterial contamination detection system and method for intravenous drug preparation sample and storage medium Download PDFInfo
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Abstract
The embodiment of the specification provides a bacterial contamination detection system, a method and a storage medium for intravenous drug preparation samples, wherein the system comprises: an image acquisition device for acquiring an image of the simulation container when the component is not injected as a reference image; collecting a sample formed after the components are injected into the simulation container, and culturing the sample for a specified time to obtain an image to be processed; the simulation container is a transparent container and is internally preset with a culture medium; and the image processing device is used for comparing the gray features of the image to be processed and the reference image and determining bacterial contamination data of the sample after being cultured for the specified time according to the comparison result. The embodiment of the specification can realize bacterial contamination detection on the intravenous drug preparation sample.
Description
Technical Field
The specification relates to the technical field of medical equipment, in particular to a bacterial contamination detection system and method for a vein medicine preparation sample and a storage medium.
Background
In medical institutions, medical education and training institutions and the like, the sterile preparation technical level of intravenous drug preparation personnel is generally required to be evaluated, and the method has important significance for reducing iatrogenic infection, retaining medical evidence and the like. Currently, the evaluation of aseptic preparation technology level for intravenous drug formulators is mainly an evaluation of preparation operation process of intravenous drug formulators, that is, a manual evaluation of whether the intravenous drug formulating operation process of intravenous drug formulators meets the specification.
However, in practice, the intravenous drug preparation sample (i.e., the sample prepared by the intravenous drug formulator) is the objective basis for finally showing whether the sample is contaminated by bacteria and the contamination degree. Therefore, how to detect bacterial contamination of intravenous drug preparation samples is a technical problem to be solved urgently.
Disclosure of Invention
An object of the embodiments of the present specification is to provide a bacterial contamination detection system, a method and a storage medium for an intravenous drug preparation sample, so as to achieve bacterial contamination detection on the intravenous drug preparation sample.
To achieve the above objects, in one aspect, the present specification provides a bacterial contamination detection system for an intravenous drug preparation sample, comprising:
an image acquisition device for acquiring an image of the simulation container when the component is not injected as a reference image; collecting a sample formed after the components are injected into the simulation container, and culturing the sample for a specified time to obtain an image to be processed; the simulation container is a transparent container and is internally preset with a culture medium;
and the image processing device is used for comparing the gray features of the image to be processed and the reference image and determining bacterial contamination data of the sample after being cultured for the specified time according to the comparison result.
In another aspect, the present disclosure provides a method for detecting bacterial contamination of an intravenous drug preparation sample, including:
acquiring an image of the simulated container when the component is not injected as a reference image;
acquiring a sample formed after the simulated container is injected with the components, and culturing the sample for a specified time to obtain an image to be processed; the simulation container is a transparent container and is internally preset with a culture medium;
and comparing the gray features of the image to be processed and the reference image, and determining bacterial contamination data of the sample after being cultured for the specified time according to the comparison result.
In another aspect, the present specification further provides a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the detection method described above.
As can be seen from the technical solutions provided in the embodiments of the present specification, in the bacterial contamination detection system of an intravenous drug preparation sample in the embodiments of the present specification, based on the image of the simulated container collected by the image collection device when the component is not injected and the sample formed by the collected simulated container after the component is injected, on the basis of the image after being cultured for the specified time; the image processing equipment can acquire the images and automatically compare the gray characteristic changes of the images to determine bacterial contamination data of the samples after the samples are cultured for a specified time, so that bacterial contamination detection of the intravenous drug preparation samples is realized. Thereby providing a basis for the subsequent evaluation of the aseptic preparation technical level of intravenous drug formulators. Moreover, compared with the implementation scheme of the preparation operation process of the artificial intravenous drug preparation personnel in the prior art, the automatic implementation scheme of the embodiment of the specification has higher efficiency and accuracy and lower cost.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
FIG. 1 is a schematic diagram of a bacterial contamination detection system for intravenous drug formulated samples in some embodiments of the present disclosure;
FIG. 2 is a schematic diagram of a bacterial contamination detection system for intravenous drug formulated samples in further embodiments of the present disclosure;
FIG. 3a is a schematic view of a simulated container when not filled with a component according to one embodiment of the present disclosure;
FIG. 3b is a schematic representation of a sample formed after injection of a component into a simulated container after incubation for a period of 48 hours in another embodiment of the present disclosure;
FIG. 3c is a schematic representation of a sample formed after injection of a component into a simulated container after incubation for a period of 48 hours in another embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a dispensing kit in one embodiment of the present disclosure;
FIG. 5 is a flow chart of a method for detecting bacterial contamination of an intravenous drug formulation sample in some embodiments of the present disclosure;
FIG. 6 is a schematic diagram of a computing machine device in some embodiments of the present description.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
Referring to fig. 1, in some embodiments of the present description, a bacterial contamination detection system for an intravenous drug formulation sample may include an image acquisition device 100 and an image processing device 200. The image capturing device 100 may be configured to capture an image of the simulated container when not injected with the component as a reference image; and collecting a sample formed after the simulated container is injected with the components, and taking an image after the sample is cultured for a specified time as a to-be-processed image. The image processing device 200 may be configured to compare the grayscale characteristics of the image to be processed and the reference image, and determine bacterial contamination data of the sample after being cultured for the specified time according to the comparison result. Wherein, the simulation container can be a transparent container to avoid influencing subsequent image recognition. In addition, in order to facilitate the effective detection of the sample, the simulated container may be pre-filled with a culture medium that may be used for the bacterial culture mixed into the sample.
It can be seen that in the bacterial contamination detection system of the intravenous drug preparation sample of the embodiment of the present specification, based on the image of the dummy container collected by the image collection device when the component is not injected and the sample formed by the collected dummy container after the component is injected, on the basis of the image after being cultured for a specified time; the image processing equipment can acquire the images and automatically compare the gray characteristic changes of the images to determine bacterial contamination data of the samples after the samples are cultured for a specified time, so that bacterial contamination detection of the intravenous drug preparation samples is realized. Thereby providing a basis for the subsequent evaluation of the aseptic preparation technical level of intravenous drug formulators. Moreover, compared with the implementation scheme of the preparation operation process of the artificial intravenous drug preparation personnel in the prior art, the automatic implementation scheme of the embodiment of the specification has higher efficiency and accuracy and lower cost.
In other embodiments of the present disclosure, as shown in fig. 2, a bacterial contamination detection system for an intravenous drug formulation sample may further include a code scanner 300. The code scanning device 300 may be used to collect bar code information provided on the simulated container that serves as identification information for the corresponding intravenous drug formulator. Correspondingly, the image processing device 200 may be further configured to acquire the barcode information and associate the bacterial contamination data with the barcode information. Since the barcode information is used as identification information of the corresponding intravenous drug formulator, thus, by correlating the bacterial contamination data with the barcode information, bacterial contamination data of each respective intravenous drug formulator's formulated sample can be obtained. In addition, bacterial pollution data and the like corresponding to the identification information can be written into a database for storage for subsequent reference and calling.
In an embodiment of the present disclosure, the identification information may be any suitable character or character string. For example, 001 denotes Zhang III for intravenous drug formulators and 002 denotes Li IV for intravenous drug formulators. In addition, other attribute information (such as personal information of intravenous drug formulators and the like) associated with the identification information can be stored in the database for facilitating subsequent review and recall.
It should be understood that, since the image capturing device 100 may also capture the barcode image provided on the simulated container together, the image processing device may also be configured with a barcode image recognition module, so that the capturing of the identification information of the intravenous drug formulator may be subsequently achieved through the barcode image recognition module. Therefore, code scanning equipment is saved, and the realization cost is reduced. It should be noted that, the barcode mentioned in the embodiments of the present specification may be a one-dimensional barcode (abbreviated as barcode) or a two-dimensional barcode (abbreviated as two-dimensional code). Of course, the present disclosure is not limited thereto, and in some other implementations of the present disclosure, the barcode may be replaced with other identifiers (e.g., a numerical code, etc.).
In some embodiments of the present description, the image capturing device may communicate with the image processing device through wired communication or wireless communication. The image capture device may write the image to a designated storage path (e.g., a local memory card) after capturing the image. Accordingly, the image processing apparatus can read the image data according to the storage path to perform processing.
In some embodiments of the present description, the image capture device may be an electronic device having an image capture function. For example, in an exemplary embodiment of the present specification, a typical electronic device having an image capturing function is a digital camera. Of course, in other embodiments of the present disclosure, the electronic device with an image capturing function may also be a digital video camera, a smart phone, a notebook computer, or the like. Those skilled in the art can understand that the present specification does not limit what kind of electronic device is used for the image capturing device, and the electronic device can be specifically selected according to needs.
In some embodiments of the present description, the image processing device 200 may be a computer device configured with image processing software. For example, in an exemplary embodiment of the present description, the computer device may include, but is not limited to, a desktop computer, a tablet computer, a notebook computer, a smart phone, and the like. Similarly, the present specification does not limit what kind of computer device is used for the image processing device, and the computer device may be specifically selected according to needs. In addition, in other embodiments of the present specification, in view of that some computer devices have an image capturing function at present, the image capturing device and the image processing device may also be integrated into one, that is, the functions of image capturing and image processing may be implemented by one computer device. Thus, cost reduction and implementation complexity can be facilitated.
In some embodiments of the present disclosure, in consideration of the light transmittance property of the simulation container body and the environmental background where the simulation container body is located, collecting an image of the simulation container when no component is injected as a reference image may be beneficial to improve the accuracy of detection. Wherein, the simulation container is not injected with the components that: one or more components (e.g., pharmaceutical components, etc.) to be manipulated, located outside the simulated container, have not yet been injected into the simulated container; at this point, the media and components pre-placed in the simulated vessel were not mixed.
In some embodiments of the present description, the sample formed by the simulated container after being filled with the component refers to: the components to be operated outside the simulation container are injected into the simulation container and are mixed with the culture medium preset in the simulation container, so that a mixed liquid (or called a mixed fluid) is formed. Thus, once bacteria invade the mixed solution, the contamination condition can be obviously presented under the culture of the culture medium, thereby being beneficial to realizing the effective detection of the sample.
In some embodiments of the present disclosure, the comparing the gray scale features of the image to be processed and the reference image, and determining the bacterial contamination data of the sample after being cultured for the specified time according to the comparison result, may include the following steps:
1) carrying out graying processing on the reference image to obtain a first grayscale image; and carrying out graying processing on the image to be processed to obtain a second gray image.
In an embodiment of the present specification, before performing the graying processing, the image processing apparatus may further perform preprocessing on the reference image and the image to be processed to eliminate irrelevant information in the image.
After the reference image and the image to be processed are subjected to graying processing, the gray value of each pixel point in the grayed reference image and the grayed image to be processed is determined.
2) Determining a first gray average value of a designated part in the first gray image; and determining a second gray level average value of the designated portion in the second gray level image.
In the embodiments of the present specification, the designated portion in the first grayscale image and the designated portion in the second grayscale image may be both set in advance as needed. The designated portion should at least fully cover the image portion of the mixed liquid, and should not be too large, so as to improve the measurement accuracy and reduce the calculation amount. The range of the designated portion in the first gray scale image and the designated portion in the second gray scale image may be the same for the same analog container. For example, in an exemplary embodiment, the designated portion in the first gray-scale image may be as shown by the portion surrounded by the dashed box in fig. 3 a. Accordingly, the designated portion in the second gray scale image may be as shown by the portion surrounded by the dashed box in fig. 3b or fig. 3 c.
Generally, for any one of the first gray scale image or the second gray scale image, even if the portions are seemingly identical, the gray scale values of the respective pixels may be slightly different. Therefore, in order to improve the detection accuracy, the gray values of the pixels in the range of the specified part in the first gray image can be arithmetically averaged, and the gray values of the pixels in the range of the specified part in the second gray image can be arithmetically averaged.
3) And determining the increment of the second gray level average value relative to the first gray level average value.
In the embodiments of the present specification, the increment of the second gray level average value with respect to the first gray level average value may be determined by calculating the difference between the second gray level average value and the first gray level average value.
4) And determining bacterial contamination data of the sample after being cultured for the specified time according to the increment.
Studies have shown that when a sample is contaminated with bacteria, the color of the sample deepens as the bacteria multiply after being cultured for a specified time; accordingly, the gray level average value of the corresponding image increases. When the sample is not contaminated by bacteria, the color of the sample usually does not change (or changes little and can be ignored) after being cultured for a specified time; accordingly, the gray scale average of the corresponding image does not change (or changes little, can be ignored). According to the principle, the bacterial contamination data of the sample after being cultured for a specified time can be determined according to the gray-scale average value increment.
In some embodiments of the present description, the bacterial contamination data of the sample after being incubated for a specified time may be a qualitative description. For example, the degree of bacterial contamination of the sample after being incubated for a specified time can be determined by setting a threshold range. For example, in an exemplary embodiment, the threshold ranges may be as shown in table 1 below:
TABLE 1
| Incremental grayscale mean (g) | Degree of contamination |
| g≤10 | No pollution |
| 10<g≤50 | Slight pollution |
| 50<g | Severe pollution |
In some embodiments of the present disclosure, the bacterial contamination data of the sample after being incubated for a specified time may also be a quantitative description. For example, in one embodiment of the present specification, the gray scale mean value increment can be directly used as a quantitative description of bacterial contamination of the sample. For example, in an exemplary embodiment, if the gray scale mean value increase of a sample after being incubated for a given time is 25, the value of the index of bacterial contamination of the sample is 25.
Of course, the above quantitative description is only an example, and in another embodiment of the present specification, a function of the bacterial contamination index with respect to the gray scale average value increment may also be established in advance, that is, a function of the bacterial contamination index with respect to the gray scale average value increment is established. Therefore, when a gray average value increment is obtained and input to the relation function, the corresponding bacterial pollution index can be obtained, and therefore quantitative description of bacterial pollution of the sample can be achieved.
In the embodiments of the present specification, the above-mentioned specified time may be set as needed, for example, in an exemplary embodiment, the specified time may be 12 hours, 24 hours, 48 hours, or the like. Of course, all samples should be in the same external environment (e.g., same temperature, humidity, ultraviolet intensity, etc.) during this incubation period.
Generally, bacteria can be classified into aerobic bacteria and anaerobic bacteria according to their oxygen demand. Therefore, in order to cover the clinically common pathogenic bacteria, the dummy containers may include an aerobic bacteria dummy container and an anaerobic bacteria dummy container. Wherein, an aerobic bacteria culture medium is pre-arranged in the aerobic bacteria simulation container to be beneficial to the culture of the aerobic bacteria; an anaerobic bacteria culture medium is preset in the anaerobic bacteria simulation container to be beneficial to the culture of anaerobic bacteria. Accordingly, in this case, the bacterial contamination data may comprise a weighted sum of aerobic bacterial contamination data and anaerobic bacterial contamination data. Wherein the aerobic bacterial contamination data is bacterial contamination data of a sample formed by the aerobic bacteria simulation container after being injected with the components after being cultured for a specified time. The anaerobic bacterial contamination data is bacterial contamination data of a sample formed by the anaerobic bacteria simulation container after being injected with components and cultured for a specified time. Therefore, the method can be beneficial to more comprehensively detecting the pollution condition of the sample by various pathogenic bacteria.
For example, in one exemplary embodiment, an intravenous drug formulator X formulates sample A in an aerobic simulation container and sample B in an anaerobic simulation container, wherein sample A has a gray scale average increase of 15 for the corresponding image portion (e.g., as shown in FIG. 3B) after 48 hours of incubation and sample B has a gray scale average increase of 45 for the corresponding image portion (e.g., as shown in FIG. 3 c) after 48 hours of incubation. The sample prepared by intravenous drug formulator X may have a gray scale average increase of the corresponding image portion of 48 hours after incubation
Accordingly, the bacterial contamination data of the sample prepared by intravenous drug formulator X after 48 hours incubation can be determined based on this weight of 30.
In some embodiments of the present description, the simulated container, the container holding the component, and the compounding tool may all be pre-positioned in a compounding kit, such as that shown in FIG. 4. So, this kind of all-in-one (each article that preparation sample required concentrates on in a packing) packaging method compares with each article independent packaging that preparation sample required, can be favorable to shortening operating time to be favorable to reducing the interference of bacterial colony in the air to the result, still practiced thrift material cost simultaneously.
In an embodiment of the present disclosure, the material of the preparation kit may be a co-extruded film with a specified light shielding property, so as to ensure that the preparation kit has better tensile property and portability, and is beneficial to avoiding property changes of the culture medium and components due to light irradiation. In addition, in another embodiment of the present disclosure, the preparation kit may be vacuum-packed or packed with inert gas to facilitate preservation of the media and components in the preparation kit.
In addition, in another embodiment of the present specification, an easy-to-detach member may be further disposed at a corner of the dispensing tool bag, so as to facilitate detachment of the dispensing tool bag. When the tool bag is used, the preparation tool bag can be disassembled through the easy-to-disassemble part arranged at the corner of the edge of the preparation tool bag. For example, in the exemplary embodiment shown in FIG. 4, the dispensing kit may be detached through a tear-off opening shown in the lower left-hand corner of the dispensing kit. As can be seen in fig. 4, in some cases, the barcode on the simulated container may be post-attached; that is, at least prior to submitting a sample, the intravenous drug formulator may apply a bar code to dispense to himself, as required, on the exterior surface of the simulated container.
For convenience of description, the above system is described as being divided into various units by functions, and described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
Corresponding to the bacterial contamination detection system for the intravenous drug preparation sample, the specification also provides a bacterial contamination detection method for the intravenous drug preparation sample. Referring to fig. 5, in some embodiments of the present description, the method for detecting bacterial contamination of an intravenous drug formulation sample may include the steps of:
s501, acquiring an image of the simulation container when the components are not injected into the simulation container as a reference image.
S502, obtaining a sample formed after the components are injected into the simulation container, and culturing the sample for a specified time to obtain an image serving as a to-be-processed image; the simulated container is a transparent container and is internally preset with culture medium.
S503, comparing the gray features of the image to be processed and the reference image, and determining bacterial contamination data of the sample after being cultured for the specified time according to the comparison result.
In some embodiments of the present disclosure, the method for detecting bacterial contamination of an intravenous drug formulation sample may further comprise:
acquiring bar code information arranged on the simulation container, wherein the bar code information is used as identification information of a corresponding intravenous drug preparation worker;
correlating the bacterial contamination data with the barcode information.
In the method for detecting bacterial contamination of an intravenous drug preparation sample according to some embodiments of the present disclosure, the comparing the gray scale features of the image to be processed and the reference image, and determining bacterial contamination data of the sample after being cultured for the specified time according to the comparison result may include:
carrying out graying processing on the reference image to obtain a first grayscale image; carrying out graying processing on the image to be processed to obtain a second grayscale image;
determining a first gray scale average value of a designated portion in the first gray scale image; determining a second gray level average value of a designated part in the second gray level image;
determining an increment of the second gray scale average relative to the first gray scale average;
determining bacterial contamination data of the sample after being incubated for the specified time based on the increment.
In some embodiments of the present disclosure, the method for detecting bacterial contamination of an intravenous drug formulation sample may include:
an aerobic bacteria simulation container, wherein an aerobic bacteria culture medium is preset in the aerobic bacteria simulation container;
an anaerobic bacteria simulation container, wherein an anaerobic bacteria culture medium is preset in the anaerobic bacteria simulation container;
correspondingly, the bacterial contamination data comprises a weighted sum of aerobic bacterial contamination data and anaerobic bacterial contamination data;
wherein the aerobic bacterial contamination data is bacterial contamination data of a sample formed by the aerobic bacteria simulation container after being injected with the components and after being cultured for a specified time; the anaerobic bacterial contamination data is bacterial contamination data of a sample formed by the anaerobic bacteria simulation container after being injected with components and cultured for a specified time.
In some embodiments of the present disclosure, the simulated container, the container holding the component, and the dispensing kit may be pre-positioned in a dispensing kit.
In some embodiments of the present disclosure, the material of the kit may be: coextruded films having specified opacity.
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors or a multi-threaded environment).
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may also be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several computer program instructions for causing a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments, for example, as shown in fig. 6.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the method embodiment, since it is substantially similar to the system embodiment, the description is simple, and the relevant points can be referred to the partial description of the system embodiment.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (13)
1. A system for detecting bacterial contamination of an intravenous drug preparation sample, comprising:
an image acquisition device for acquiring an image of the simulation container when the component is not injected as a reference image; collecting a sample formed after the components are injected into the simulation container, and culturing the sample for a specified time to obtain an image to be processed; the simulation container is a transparent container and is internally preset with a culture medium;
and the image processing device is used for comparing the gray features of the image to be processed and the reference image and determining bacterial contamination data of the sample after being cultured for the specified time according to the comparison result so as to be used for evaluating the sterile preparation technical level of a corresponding intravenous drug preparation staff.
2. The system for detecting bacterial contamination of an intravenous drug formulation sample of claim 1, wherein the detection system further comprises:
the code scanning device is used for collecting bar code information arranged on the simulation container, and the bar code information is used as identification information of corresponding intravenous drug formulators;
correspondingly, the image processing equipment is also used for acquiring the bar code information and associating the bacterial contamination data with the bar code information.
3. The system for detecting bacterial contamination of an intravenous drug formulation sample of claim 1, wherein comparing the gray scale features of the image to be processed and the reference image and determining bacterial contamination data of the sample after being incubated for the specified time based on the comparison comprises:
carrying out graying processing on the reference image to obtain a first grayscale image; carrying out graying processing on the image to be processed to obtain a second grayscale image;
determining a first gray scale average value of a designated portion in the first gray scale image; determining a second gray level average value of a designated part in the second gray level image;
determining an increment of the second gray scale average relative to the first gray scale average;
determining bacterial contamination data of the sample after being incubated for the specified time based on the increment.
4. The system for detecting bacterial contamination of an intravenous drug formulation sample of claim 1, wherein the simulated container comprises:
an aerobic bacteria simulation container, wherein an aerobic bacteria culture medium is preset in the aerobic bacteria simulation container;
an anaerobic bacteria simulation container, wherein an anaerobic bacteria culture medium is preset in the anaerobic bacteria simulation container;
correspondingly, the bacterial contamination data comprises a weighted sum of aerobic bacterial contamination data and anaerobic bacterial contamination data;
wherein the aerobic bacterial contamination data is bacterial contamination data of a sample formed by the aerobic bacteria simulation container after being injected with the components and after being cultured for a specified time; the anaerobic bacterial contamination data is bacterial contamination data of a sample formed by the anaerobic bacteria simulation container after being injected with components and cultured for a specified time.
5. The system for detecting bacterial contamination of an intravenous drug formulation sample of claim 1, wherein the simulated container, the container containing the component, and the formulation kit are all pre-positioned in a formulation kit.
6. The system of claim 5, wherein the kit is made of: coextruded films having specified opacity.
7. A method for detecting bacterial contamination in an intravenous drug formulation sample, comprising:
acquiring an image of the simulated container when the component is not injected as a reference image;
acquiring a sample formed after the simulated container is injected with the components, and culturing the sample for a specified time to obtain an image to be processed; the simulation container is a transparent container and is internally preset with a culture medium;
and comparing the gray features of the image to be processed and the reference image, and determining bacterial contamination data of the sample after being cultured for the designated time according to the comparison result so as to be used for evaluating the sterile preparation technical level of a corresponding intravenous drug preparation worker.
8. The method of detecting bacterial contamination of an intravenous drug formulation sample of claim 7, further comprising:
acquiring bar code information arranged on the simulation container, wherein the bar code information is used as identification information of a corresponding intravenous drug preparation worker;
correlating the bacterial contamination data with the barcode information.
9. The method for detecting bacterial contamination of an intravenous drug formulation sample of claim 7, wherein comparing the gray scale features of the image to be processed and the reference image and determining bacterial contamination data of the sample after being incubated for the specified time based on the comparison comprises:
carrying out graying processing on the reference image to obtain a first grayscale image; carrying out graying processing on the image to be processed to obtain a second grayscale image;
determining a first gray scale average value of a designated portion in the first gray scale image; determining a second gray level average value of a designated part in the second gray level image;
determining an increment of the second gray scale average relative to the first gray scale average;
determining bacterial contamination data of the sample after being incubated for the specified time based on the increment.
10. The method of detecting bacterial contamination of an intravenous drug formulation sample of claim 7, wherein the simulated container comprises:
an aerobic bacteria simulation container, wherein an aerobic bacteria culture medium is preset in the aerobic bacteria simulation container;
an anaerobic bacteria simulation container, wherein an anaerobic bacteria culture medium is preset in the anaerobic bacteria simulation container;
correspondingly, the bacterial contamination data comprises a weighted sum of aerobic bacterial contamination data and anaerobic bacterial contamination data;
wherein the aerobic bacterial contamination data is bacterial contamination data of a sample formed by the aerobic bacteria simulation container after being injected with the components and after being cultured for a specified time; the anaerobic bacterial contamination data is bacterial contamination data of a sample formed by the anaerobic bacteria simulation container after being injected with components and cultured for a specified time.
11. The method of claim 7, wherein the simulated container, the container containing the component, and the dispensing kit are all pre-positioned in a dispensing kit.
12. The method of claim 11, wherein the kit comprises: coextruded films having specified opacity.
13. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the detection method of any one of claims 7-12.
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