CN109190972B

CN109190972B - Quality monitoring system and method for scientific research experiment

Info

Publication number: CN109190972B
Application number: CN201810996779.5A
Authority: CN
Inventors: 王培毅
Original assignee: SHANGHAI LLECELL BIOTECHNOLOGY CO LTD
Current assignee: SHANGHAI LLECELL BIOTECHNOLOGY Co.,Ltd.
Priority date: 2018-08-29
Filing date: 2018-08-29
Publication date: 2021-11-12
Anticipated expiration: 2038-08-29
Also published as: CN109190972A

Abstract

The invention relates to a quality monitoring system and method for scientific research experiments. The quality monitoring system includes a memory and a processor. The memory stores computer-executable instructions. The processor is configured to execute the computer-executable instructions to perform the steps of: receiving scientific research experiment progress information; judging whether the current progress reaches a preset quality monitoring point or not according to the scientific research experiment progress information; inquiring one or more monitoring indexes corresponding to the preset quality monitoring points; receiving monitoring information related to each of the one or more monitoring metrics; and verifying whether the monitoring information meets the corresponding monitoring index.

Description

Quality monitoring system and method for scientific research experiment

Technical Field

The invention relates to the field of scientific research management, in particular to a quality monitoring system and method for scientific research experiments

Background

The complexity and potentially high cost of scientific experiments has made outsourcing or partial outsourcing of scientific experiments an option. After the experiment is outsourced, how to monitor and evaluate the experiment quality of the experiment supplier becomes an important factor for success or failure of the experiment outsourced.

Disclosure of Invention

The invention aims to provide a system and a method for monitoring the quality of scientific research experiments, which can improve the quality monitoring level of the scientific research experiments.

The technical scheme adopted by the invention for solving the technical problems is a quality monitoring system for scientific research experiments, which comprises a memory and a processor. The memory stores computer-executable instructions. The processor is configured to execute the computer-executable instructions to perform the steps of: receiving scientific research experiment progress information; judging whether the current progress reaches a preset quality monitoring point or not according to the scientific research experiment progress information; inquiring one or more monitoring indexes corresponding to the preset quality monitoring points; receiving monitoring information related to each of the one or more monitoring metrics; and verifying whether the monitoring information meets the corresponding monitoring index.

In an embodiment of the invention, the quality monitoring system for scientific research experiments further includes a database configured to store one or more quality monitoring points of each of one or more scientific research experiments, wherein the processor queries the database to obtain the preset quality monitoring point and the one or more monitoring indexes.

In an embodiment of the invention, the processor is further configured to present a progress monitoring interface to receive input of the scientific research experiment progress information.

In an embodiment of the present invention, the processor is further configured to present a quality monitoring interface after querying one or more monitoring indexes corresponding to the preset quality monitoring point, so as to receive input of the monitoring information.

In an embodiment of the present invention, the processor is further configured to present a monitoring guidance interface after querying one or more monitoring indexes corresponding to the preset quality monitoring point, where the monitoring guidance interface prompts one or more monitoring operations.

In an embodiment of the invention, the quality monitoring system is a server, and the scientific research experiment progress information and the one or more monitoring indexes are from a client coupled to the server.

In an embodiment of the present invention, the processor is further configured to prompt a processing measure when the monitoring information is verified not to meet the corresponding monitoring index, where the processing measure includes re-experiment.

In one embodiment of the present invention, the scientific experiment is a biological experiment.

The invention also provides a quality monitoring method for scientific research experiments, which comprises the following steps: receiving scientific research experiment progress information; judging whether the current progress reaches a preset quality monitoring point or not according to the scientific research experiment progress information; inquiring one or more monitoring indexes corresponding to the preset quality monitoring points; receiving monitoring information related to each of the one or more monitoring metrics; and verifying whether the monitoring information meets the corresponding monitoring index.

In an embodiment of the present invention, the method is executed in a computer system.

Compared with the prior art, the invention can track the experimental quality in time by the quality monitoring points arranged in the experimental process and take measures such as stopping the experiment and re-experiment when problems occur, thereby improving the level of experimental monitoring.

Drawings

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below, wherein:

FIG. 1 is a schematic diagram of a quality monitoring system for scientific research experiments according to an embodiment of the invention.

Fig. 2 is a schematic network environment diagram of a quality monitoring system for scientific research experiments according to an embodiment of the present invention.

FIG. 3 is a schematic diagram of a method for quality monitoring of scientific research experiments according to an embodiment of the invention.

FIG. 4 is a schematic diagram of a progress monitoring interface according to an embodiment of the invention.

FIG. 5 is a schematic diagram of a quality monitoring interface according to an embodiment of the invention.

FIG. 6 is a schematic view of a monitoring guidance interface according to an embodiment of the invention.

Fig. 7 is a schematic view of a monitoring information input interface according to an embodiment of the invention.

FIG. 8 is a schematic view of a monitoring result interface according to an embodiment of the invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments disclosed below.

As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Embodiments of the invention describe systems and methods for quality monitoring in scientific research experiments. The system and the method help to find a more suitable supplier for scientific research experiments.

Fig. 1 is a block diagram of a quality monitoring system in accordance with an embodiment of the present invention. Referring to fig. 1, the quality monitoring system 100 may include an internal communication bus 101, a processor (processor)102, a Read Only Memory (ROM)103, a Random Access Memory (RAM)104, a communication port 105, an input/output component 106, a hard disk 107, and a user interface 108. The internal communication bus 101 may enable data communication among the components of the computer 100. The processor 102 may make the determination and issue the prompt. In some embodiments, the processor 102 may be comprised of one or more processors. The communication port 105 may enable data communication between the computer 100 and other components (not shown). In some embodiments, computer 100 may send and receive information and data from a network through communication port 105. Input/output component 106 supports the flow of input/output data between computer 100 and other components. The user interface 108 may enable interaction and information exchange between the computer 100 and a user. The computer 100 may also include various forms of program storage units and data storage units such as a hard disk 107, Read Only Memory (ROM)103 and Random Access Memory (RAM)104, capable of storing various data files used in computer processing and/or communications, as well as possible program instructions executed by the processor 102.

By way of example, the input/output components 106 may include one or more of the following components: a mouse, a trackball, a keyboard, a touch-sensitive component, a sound receiver, etc.

For example, the quality monitoring method of the present application can be implemented as a computer program, stored in the hard disk 107, and recorded to be executed in the processor 102 to implement the method of the present application.

It is to be understood that the quality monitoring system of the present application is not limited to being implemented by one computer, but may be cooperatively implemented by a plurality of computers on-line. Computers that are online may be connected and communicate through a local area network or a wide area network.

For example, the quality monitoring method according to the embodiment of the present invention may be quality monitoring software stored in a hard disk.

When implemented as software, the quality monitoring methods may also be stored as an article of manufacture in a computer-readable storage medium. For example, computer-readable storage media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD)), smart cards, and flash memory devices (e.g., electrically Erasable Programmable Read Only Memory (EPROM), card, stick, key drive). In addition, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media (and/or storage media) capable of storing, containing, and/or carrying code and/or instructions and/or data.

Fig. 2 is a communication environment diagram of a quality monitoring system according to an embodiment of the present invention. Referring to FIG. 2, a system may include a client 210 and a server 220, which are connected by a network 230. The network 230 may be any known wired or wireless network and is not expanded herein. The server 220 and client 210 cooperate to implement the methods described in the foregoing embodiments, or variations thereof. The client 210 may be equipped with a user interface, communication ports, and input components. The user interface may present various interfaces to the user and the input component may receive input from the user. Server 220 may be an architecture as shown in fig. 1, where processor 102 executes these instructions to implement the major portions of the method. The results of the processing by the processor 102 are communicated to the client 210 via the communication port for display on the user interface of the client 210.

It should be understood that the above-described embodiments are illustrative only. The embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, and/or other electronic units designed to perform the functions described herein, or a combination thereof.

Fig. 3 is a schematic diagram of a quality monitoring method according to an embodiment of the invention. The method of this embodiment may be implemented in the quality monitoring system of fig. 1 or a variation thereof. In some embodiments, one or more of the steps in the following methods may be performed manually. The quality monitoring method of the present embodiment is described below with reference to fig. 3.

At step 302, scientific research experiment progress information is received.

Referring to fig. 1, the scientific research experiment progress information may be received through the user interface 108, and may also be received through the communication port 105. Data for the communication port 105 may come from the client 210 of fig. 2. Here, the scientific experiment progress information may include which step the current scientific experiment progresses to. For example, when the research experiment includes 5 steps, the research experiment progress information may include the progress of the research experiment to the 3 rd step. The received scientific research experiment progress information may be transmitted to the processor 102 through the internal communication bus 101.

The processor 102 may be configured to present a progress monitoring interface via the user interface 108 to receive input of research experiment progress information. FIG. 4 is a schematic diagram of a progress monitoring interface according to an embodiment of the invention. Referring to FIG. 4, the progress monitoring interface 40 may include a trial name 41, a progress monitoring button 42. Upon entering a certain experimental page, progress monitoring interface 40 may be presented by selecting progress monitoring button 42. In this interface 40, the various steps 43 of the research experiment, as well as the steps currently being performed, may be displayed. For example, the completion of each step 43 is shown by a check bar 44, and when there is a "√" in the check bar 44, this step is already completed.

In step 304, whether the current progress reaches a preset quality monitoring point is judged according to the scientific research experiment progress information.

Here, whether the preset quality monitoring point has been reached is judged according to the current progress of the scientific research experiment, that is, the current step. The preset quality monitoring point is related to the step. More specifically, the completion of some steps means that a certain quality monitoring point is reached.

For example, when step 3 of fig. 4 is completed, a quality monitoring point may be triggered. The quality monitoring interface 50 of fig. 5 is entered when the user selects the quality monitoring point button in the interface. As shown in fig. 5, in the quality monitoring interface 50, the quality monitoring point button 51 is selected, and at this time, the quality monitoring points 52 such as the quality monitoring point a and the quality monitoring point B are displayed in the interface. In an alternative embodiment, in response to determining that the current schedule reaches the preset quality monitoring point, the quality monitoring interface 50 shown in FIG. 5 is automatically presented to alert the user to the quality monitoring point.

In one embodiment, hard disk 107 may have a database (not shown) disposed therein that is configured to store one or more quality monitoring points for each of one or more scientific experiments. The processor 102 queries the database to obtain the predetermined quality monitoring point.

At step 306, one or more monitoring indicators corresponding to the predetermined quality monitoring points are queried.

In this step, the monitoring index corresponding to the current quality monitoring point is queried. Each monitoring index is used for checking whether the result obtained when the scientific research experiment is carried out to the current step meets the quality requirement. In some embodiments, these monitoring metrics are quantifiable. For example, the indicators may include thresholds. The threshold may be presented in the interface or may be hidden.

Each quality monitoring point may correspond to one or more monitoring metrics. As shown in fig. 5, the monitoring index a corresponds to 1 monitoring index a1, and the quality monitoring point B corresponds to 2 monitoring indexes B1 and B2.

A database may be configured in the apparatus (e.g., hard disk 107) shown in fig. 1 for storing one or more monitoring indicators configured to store one or more monitoring indicators corresponding to each quality monitoring point of each scientific research experiment. When needed, the processor 102 queries these monitoring metrics and presents them in the interface 50.

In some embodiments, some additional guidance may be needed to inform the user how to perform quality monitoring. To this end, the processor 102 may be further configured to present a monitoring guidance interface to prompt one or more monitoring operations upon querying the monitoring metrics. FIG. 6 is a schematic view of a monitoring guidance interface according to an embodiment of the invention. Referring to FIG. 6, a monitoring guideline interface 60 may be presented on which monitoring operations 61, such as monitoring operations 1 and 2, are displayed. The monitoring guidance interface 60 may be presented when the user clicks on the quality monitoring point 52, or the monitoring guidance interface 60 may be actively presented when the current quality monitoring point 52 needs to monitor guidance.

At step 308, monitoring information associated with each of the one or more monitoring metrics is received.

Here, the processor 102 may receive an input of monitoring information in the presented quality monitoring interface. Fig. 7 is a schematic view of a monitoring information input interface according to an embodiment of the invention. Referring to FIG. 7, in the monitoring information input interface 50', the processor 102 may present a corresponding monitoring information input box 54 for a user to input monitoring information in response to selection (e.g., clicking) of the monitoring indicator 52. The processor 102 may receive input monitoring information via the input/output component 106.

In step 310, it is verified whether the monitoring information meets the corresponding monitoring criteria.

Here, the processor 102 may use the monitoring metrics to verify that the monitoring information is satisfactory. If so, the scientific experiments are successful, otherwise, the scientific experiments are failed and measures, such as re-experiments, are required.

In some embodiments, all of the monitored metrics are acceptable, indicating that the scientific experiments were successful to date. In other embodiments, a partial (or even one) pass of the monitoring criteria may indicate that the scientific experiment has been successful to date.

FIG. 8 is a schematic view of a monitoring result interface according to an embodiment of the invention. Referring to FIG. 8, in the monitor results interface 70, monitor results 72 may be presented, which are displayed, for example, as pass or fail.

In the embodiment of the invention, the scientific research experiment comprises a physical experiment, a chemical experiment, a biological experiment and the like. Some examples of quality monitoring points for biological experiments are listed below.

Flow cytometry for peripheral blood T cell subtypes

Surface, intracellular staining: CD25, CD39, CD4, Foxp3, CD45RA, CD3, CD183, CD 127. Cell phenotype classification:

rTreg(CD4+CD25++CD45RA+CD39-)，

aTreg(CD4+CD25++CD45RA-CD39+)，

nonTreg(CD4+CD25++CD45RA-CD39-)，

Tr1L(CD4+CD45RA-CD25-CD127-Foxp3-)，

th17 and Foxp3/IL-17 double positive cells.

The difference in the ratio of the cell population and the subpopulation among the normal group, the mucocutaneous BD, the ocular BD and the intestinal BD group was compared. And differences in Foxp3 levels of the top 3 groups of Treg cell subpopulations.

The experimental process comprises the following steps:

step 1: the whole blood sample is passed through a cell separation medium to remove red blood cells, and lymphocytes are collected.

Quality monitoring point a:

monitoring indexes: recovery efficiency

Index threshold value: 50 percent of

And (3) monitoring and guiding: counting the collected lymphocytes, comparing with the number of lymphocytes detected by conventional blood method

Step 2: the specific fluorescent antibody is mixed and incubated with the lymphocytes, and then the cells are detected by flow cytometry.

Quality monitoring point B:

monitoring index B1: microsphere counting

Monitoring guide 1: flow cytometer matched standard microsphere counting detection

Monitoring index B2: recovery rate

Index threshold value: 90 percent of

And 2, monitoring guide: a cell line with a fluorescent label or a cell line combined with a fluorescent antibody is selected as an internal reference, and a parallel comparison experiment is carried out. The recovery of fluorescent cell lines was compared.

And (3) monitoring results: if the recovery rate is lower than 90%, the experiment is repeated.

Exogenous Th17 cell polarizing factor stimulation of the phenotype effects of CD4+ T cells

PBMC CD3+ CD4+ cells were isolated and flow cytometrically validated > 95%. Labeled with CFSE, 50,000cells/well in 96-well plates; anti-CD 3/CD28 beads were added and cultured for 10 days. Separately, (1) IL-1. beta. (25ng/mL), IL-6(25ng/mL), and IL-23(100ng/mL) or (2) TGF-. beta. (5ng/mL) and IL-21(25ng/mL) were added to add stimuli: PMA (5mg/mL), Ionomycin (5nM), incubated for 6 hours, and then cells were collected and stained with CD4/CD25/CD39/CD45RA/Foxp3/IL 17/IFN-. gamma.g/IL l0, etc.

The experimental process comprises the following steps:

step 1: CD3+ CD4+ cells were isolated as PBMC standard method with > 95% flow cytometry validation. Otherwise, continuing to separate and purify.

Quality monitoring point a:

monitoring index 1: number of target cells

Index threshold value: greater than 95 percent

Monitoring guide 1: counting and detecting the number of target cells by flow cytometry

Step 2: culturing the cell pore plate, and adding antibody beads and cell factors.

Quality monitoring point B:

monitoring index 1: cellular activity

Index threshold value: reduce by 50%

Monitoring guide 1: multiple wells are cultured in parallel for each culture, and antibodies and cytokines are added according to experimental requirements. Selecting a hole cell every other day to carry out cell activity experiments;

and 2, monitoring guide: all the cells of the antibody or reagent group added need to have cell culture wells with completely identical culture conditions without the addition of the substance as controls.

And (3) monitoring results: if the cell activity is reduced by more than 50%, the culture fails, and the cells are collected again for culture.

And step 3: the cultured cells were stained with fluorescent antibody and detected by flow cytometry.

Quality monitoring point C:

monitoring index B1: microsphere counting

Monitoring index B2: recovery rate

Index threshold value: 90 percent of

Therefore, through the quality monitoring points set in the experimental process, the experimental quality can be tracked in time, and measures can be taken when problems occur, such as stopping the experiment and re-experimenting. Through the embodiment, the invention can improve the level of experimental monitoring.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing disclosure is by way of example only, and is not intended to limit the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Although the present invention has been described with reference to the present specific embodiments, it will be appreciated by those skilled in the art that the above embodiments are merely illustrative of the present invention, and various equivalent changes and substitutions may be made without departing from the spirit of the invention, and therefore, it is intended that all changes and modifications to the above embodiments within the spirit and scope of the present invention be covered by the appended claims.

Claims

1. A quality monitoring system for scientific research experiments, comprising:

a memory storing computer-executable instructions;

a database configured to store one or more quality monitoring points for each of one or more scientific research experiments;

a processor configured to execute the computer-executable instructions to implement the steps of:

receiving scientific research experiment progress information, including presenting a progress monitoring interface to receive input of the scientific research experiment progress information;

querying the database to obtain a preset quality monitoring point;

judging whether the current progress reaches a preset quality monitoring point or not according to the scientific research experiment progress information;

querying the database to obtain one or more monitoring indexes corresponding to the preset quality monitoring point;

receiving monitoring information related to each of the one or more monitoring metrics; and

and verifying whether the monitoring information meets the corresponding monitoring index.

2. The quality monitoring system of scientific research experiments according to claim 1, wherein the processor is further configured to present a monitoring guidance interface prompting one or more monitoring operations after querying one or more monitoring indicators corresponding to the preset quality monitoring points.

3. The system for quality monitoring of scientific experiments according to claim 1, wherein the system for quality monitoring is a server, and wherein the scientific experiment progress information and the one or more monitoring metrics are from a client coupled to the server.

4. The system for quality monitoring of scientific research experiments according to claim 1, wherein the processor is further configured to prompt a processing action including re-experiment if the monitoring information does not meet the corresponding monitoring criteria.

5. The system for quality monitoring of scientific experiments according to claim 1, wherein said scientific experiments are biological experiments.