CN111157673A - Quantitative detection method and device - Google Patents
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Abstract
A method and apparatus for detection is provided, wherein according to one embodiment, a method for detection comprises: receiving, at a terminal device, detection data from a detection device, wherein the detection data is obtained by the detection device after preprocessing raw data collected from a reaction carrier after a reaction with a target in a sample; forwarding the received detection data to a remote server through a network; and receiving a processing result for the detection data from the remote server, the processing result indicating a content of the target in the sample.
Description
Technical Field
The present invention relates generally to the field of substance detection, and more particularly to a protocol for detecting the amount of a target in a sample.
Background
Personal health and food safety are increasingly paid attention, for example, in the field of food safety, antibiotic abuse in the cultivation process of meat, poultry, aquatic products and the like and pesticide residues in vegetables, fruits and the like become great hidden dangers which endanger the health of consumers and cause a great deal of attention, accordingly, great demands for rapid detection mechanisms of relevant indexes and substances are generated, and special test paper, reagents, test paper cards, detectors and the like are produced at the same time.
Many simple rapid test paper tests adopt a visual inspection mode to observe the test result, which can only provide preliminary qualitative detection, and the judgment of the test result is easily influenced by individual observers and the surrounding environment. There are also various disadvantages associated with some existing quantitative detection methods. For example, some solutions employ a detector capable of directly giving a concentration result by using a test strip/reagent card to detect the concentration of a target detection object in a sample, however, such a detector has many components, a complex structure, and a high cost, and is not suitable for household popularization. According to the scheme, a detection area of the test paper is photographed by a mobile phone camera, and a photographing result is transmitted to a server for calculation processing to obtain the detection result, but the method is influenced by factors such as the imaging quality of the mobile phone camera, the photographing level of a user and the surrounding environment during photographing, and a stable and accurate detection result is not easy to obtain.
Disclosure of Invention
The invention is designed and realized by taking a plurality of problems in the prior art into consideration. In this summary, selected concepts are presented in a simplified form and are further described below in the detailed description. This summary is not intended to identify any key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
According to an aspect of the present disclosure, there is provided a method for detection, the method comprising: receiving, at a terminal device, detection data from a detection device, wherein the detection data is obtained by the detection device after preprocessing raw data collected from a reaction carrier after a reaction with a target in a sample; forwarding the received detection data to a remote server through a network; and receiving a processing result for the detection data from the remote server, the processing result indicating a content of the target in the sample.
According to another aspect of the present disclosure, there is provided a method for detection, the method comprising: receiving detection data from a detection device from a terminal device through a network, wherein the detection data is obtained by preprocessing raw data acquired from a reaction carrier after a reaction with a target object in a sample by the detection device; processing the received detection data to generate a processing result, the processing result indicating a content of a target in the sample; and sending the processing result to the terminal equipment.
According to yet another aspect of the present disclosure, there is provided a computer-readable storage medium having instructions stored thereon, which, when executed by at least one processor, cause the at least one processor to perform any of the methods as discussed in the present disclosure.
According to yet another aspect of the present disclosure, there is provided an apparatus for detection, the apparatus comprising means for performing any of the methods as discussed in the present disclosure.
According to another aspect of the present disclosure, there is provided an apparatus for detection, the apparatus comprising: a memory for storing instructions; and at least one processor coupled to the memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to perform any of the methods as discussed in this disclosure.
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Embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to the same or similar parts and in which:
FIG. 1 illustrates an exemplary operating environment in which some embodiments of the present disclosure may be implemented;
fig. 2 illustrates a flow diagram of an exemplary method according to some embodiments of the present disclosure;
FIG. 3 illustrates a flow diagram of an exemplary method according to some embodiments of the present disclosure;
fig. 4 illustrates a block diagram of an example apparatus in accordance with some embodiments of the present disclosure;
fig. 5 illustrates a block diagram of an example apparatus in accordance with some embodiments of the present disclosure; and
fig. 6 illustrates a block diagram of an exemplary terminal device, in accordance with some embodiments of the present disclosure.
Detailed Description
In the following description, for purposes of explanation, numerous specific details are set forth. However, it is understood that embodiments of the disclosure may be practiced without these specific details. In other instances, well-known circuits, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.
Reference throughout this specification to "one embodiment," "an example embodiment," "some embodiments," "various embodiments," etc., means that the embodiment of the disclosure described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. In addition, some embodiments may have some, all, or none of the features described for other embodiments.
In the following description and claims, the terms "coupled" and "connected," along with their derivatives, may be used. It should be understood that these terms are not intended as synonyms for each other. Rather, in particular embodiments, "connected" is used to indicate that two or more elements are in direct physical or electrical contact with each other, and "coupled" is used to indicate that two or more elements co-operate or interact with each other, but they may or may not be in direct physical or electrical contact.
Fig. 1 illustrates an exemplary operating environment 100 in which some embodiments of the present disclosure may be implemented. Operating environment 100 may include detection device 110, terminal device 120, and remote server 130. In some embodiments, detection device 110 may be communicatively coupled to terminal device 120. In some embodiments, end device 120 may be communicatively coupled to remote server 130 via network 140.
In one typical operational scenario according to the present disclosure, a user, after pre-processing a sample in a specified manner, adds the sample to a reaction carrier, such as a test strip/reagent card, for reaction, and inserts the reaction carrier into the detection device 110. The detection device 110 converts the acquired image/optical signal detection values of the color development window of the reaction carrier into detection data through a built-in process, and then transfers the detection data to the terminal device 120. The terminal device 120 forwards the test data received from the test device 110 via the network 140 to the remote server 130, which performs further processing on the test data, generates information indicating the content of the target in the sample and, if necessary, related analyses and recommendations, and sends it to the terminal device 120 for presentation on the terminal device 120.
Here, the detection device 110 (and the reaction carrier) is the actual tool of detection and is also the provider of the detection data. For example, if the user needs to detect the aflatoxin content in mung beans, a designated instrument and reagent card are prepared. Similarly, corresponding instruments and reagent cards are needed to enable quantitative detection of one or more antibiotic residues in meat, poultry, eggs, aquatic products, and even humans.
Detection techniques that may be employed include dry chemistry techniques, immunochromatography techniques (the latter including, for example, colloidal gold immunochromatography, fluorescence immunochromatography, and the like), and the like. In the present disclosure, the term "T-line" refers to a detection line of a reaction carrier, i.e., a detection region, and the term "C-line" refers to a control line of a reaction carrier, i.e., a quality control region.
In some embodiments of the present disclosure, the data acquisition work for the reaction carrier after the reaction with the target in the sample is performed by a professional detection device, thereby avoiding uncertain factors caused by direct photographing through a mobile phone in some prior art schemes. On the other hand, the detection equipment does not need to have the capability of directly calculating the content (such as concentration) of the target object in the sample, but a part of work is carried out by a remote server, so that the complexity of the detection equipment is reduced, the cost and the volume are correspondingly reduced, and the detection equipment is more easily popularized to individuals and families.
Examples of terminal device 120 may include, but are not limited to: a mobile device, a Personal Digital Assistant (PDA), a wearable device, a smartphone, a cellular phone, a handheld device, a messaging device, a computer, a Personal Computer (PC), a desktop computer, a laptop computer, a notebook computer, a handheld computer, a tablet computer, a workstation, a mini-computer, a mainframe computer, a supercomputer, a network device, a web device, a processor-based system, a multiprocessor system, a consumer electronics device, a programmable consumer electronics device, a television, a digital television, a set-top box, or any combination thereof. In some embodiments, the functionality of terminal device 120 may be implemented by an application running thereon.
Although remote server 130 is shown as a single server, it will be appreciated that remote server 130 may also be implemented as an array or group of servers, or in some embodiments, remote server 130 may be a cluster of different entities, each of which is configured to perform a respective function. The remote server 130 may be deployed in a distributed computing environment. In some embodiments, the remote server 130 may also be deployed in the cloud, implemented using cloud computing technology. In some embodiments, a microservice architecture may be employed to implement the services provided by remote server 130.
In some embodiments of the disclosure, a part of the processing, especially the final determination of the content of the target object in the sample, and the processing of data statistics, analysis, suggestion providing and the like, may be performed by a remote server located in the cloud, so that the powerful computing capability and storage capability of the remote server may be fully utilized, and the performance of the entire detection system may be greatly improved. In addition, the adoption of the micro-service architecture also improves the robustness and the expandability of the system.
The communication between the terminal device 120 and the detection device 110 may be performed in a wired or wireless manner. In some embodiments, the detection device 110 may transmit detection data to the end device 120 by means of a technology such as Universal Serial Bus (USB), bluetooth, infrared, Near Field Communication (NFC), or ZigBee.
The network 140 may include any type of wired or wireless communication network, or combination of wired or wireless networks. Examples of communication networks may include a Local Area Network (LAN), a Wide Area Network (WAN), a public telephone network, the Internet, an intranet, and so forth. Although only a single network 140 is shown here, in some embodiments, the network 140 may be configured to include multiple networks.
In some embodiments of the present disclosure, the detection device and the terminal device communicate with each other by using a short-distance communication technology such as USB serial port or bluetooth, and in turn, the terminal device itself has a stronger communication capability to establish a connection with a remote server to transmit detection data, for example, which reduces the requirement for the communication capability of the detection device itself, and accordingly, further reduces the cost, volume and power consumption of the detection device, and improves the portability and standby level of the detection device.
In addition, in some embodiments, the data volume of the original image data of the color development window of the reaction carrier collected by the detection device is large, and by preprocessing the image data at the detection device end, for example, converting the image data into at least one group of gray scale integral values and providing the at least one group of gray scale integral values as the detection data for subsequent processing (such as calculation of the content of the target substance in the sample at the remote server end), the data volume and transmission time for transmission can be greatly reduced, the situation of network poor quality can be better dealt with, and the user experience is improved.
Furthermore, although an exemplary operating environment according to some embodiments of the present disclosure is described above in connection with fig. 1, in other embodiments, communication between the detection device 110 and the terminal device 120 may occur via a network. Alternatively, the terminal device 120 and the remote server 130 may be communicatively coupled directly without a network. The present disclosure is not limited to the particular architecture shown in fig. 1.
Fig. 2 illustrates a flow diagram of an example method 200 in accordance with some embodiments of the present disclosure. For example, method 200 may be implemented on terminal device 120 shown in fig. 1. In some embodiments, the terminal device 120 is preferably implemented as a mobile communication terminal of the user, e.g. a smartphone. In some embodiments, the method 200 may be used to implement some of the functionality of a client Application (APP) installed on a user's smart phone. The APP comprises but is not limited to APP written based on Object-C language, APP written based on Java language, and the like. In some embodiments, the APP is connected to a cloud service, which may be implemented, for example, by remote server 130 shown in FIG. 1.
In some embodiments, the method may further include determining whether the user logged on to the APP of the terminal device 120 is bound with the detection device 110, and if not, performing a binding operation. In some embodiments, the binding operation may include associating a user Identification (ID) with the ID of the detection device 110. In some embodiments, the ID of the detection device 110 may include a unique serial number of the detection device. In some embodiments, the ID of the detection device 110 may also indicate the model of the detection device. In some embodiments, the acquisition of the ID of the detection device 110 may be achieved, for example, by scanning a two-dimensional code indicating the ID of the detection device 110 using a camera of the terminal device 110. Binding/association information with the detection device 110 may be stored in one or more of the detection device 110, the terminal device 120, and the remote server 130.
In a similar manner, binding of the user to a reaction carrier (e.g. a reagent card) may also be performed. In some embodiments, the ID of the reagent card may include a unique serial number of the reagent card. In some embodiments, the ID of a reagent card may also indicate the lot of the reagent card. In some embodiments, the ID of a reagent card may also indicate the test item of the reagent card. Similarly, binding/association information with the reagent card may also be stored in one or more of the detection device 110, the terminal device 120, and the remote server 130.
Further, in some embodiments, the method may further include sending the updated detection parameters received from remote server 130 to detection device 110 for use by detection device 110 to replace the in-device detection parameters. For example, the apparatus may be manufactured with 3 built-in times, depending on factors such as detectable reagent indicators, that is: a wait time (T1), a minimum interval time (T2), and a deadline time (T3). After the reagent card is inserted into the instrument, the instrument waits according to the time T1, and after the time T1 elapses, the instrument stores a piece of data at intervals of time T2 until the time T3. Accordingly, the data detected by the instrument and generated may form an array, such as [ { time: AAA, data: XXX }, { time: BBB, data: YYY }, { time: CCC, data: ZZZ } ]. When the remote server 130 determines that such one or more time parameters need to be updated (e.g., based on statistics of historical data, or based on the need for a particular sample, etc.), the updated detection parameters may be transmitted to the terminal device 120. Terminal device 120 forwards the received updated detection parameters to detection device 110 to implement updating of the latter built-in parameters. It will be appreciated that the updatable detection parameters are not limited to the three time parameters described above.
In some embodiments, the method may further comprise providing sample acquisition guidance. The method can give guidance for the operations of pretreatment of samples, reagent card addition and the like required by different detection items. For example: how much to take, how to grind, how to add a solution or how to dilute a solid sample; how to heat and to what temperature for the sample to be heated; how to add the sample liquid to the reagent card by means of various tools equipped, such as a dropper, a urine cup, etc. The instructional information may be presented to the operating user in a visual and/or audible manner, for example, through a display and/or a speaker, etc., provided on the terminal device 120.
The method 200 proceeds to step 220. In this step, detection data is received from the detection device, wherein the detection data is obtained by the detection device after preprocessing raw data collected from the reaction carrier after the reaction with the target in the sample. In some embodiments, terminal device 120 may temporarily store the received detection data in a buffer/memory of the terminal device.
In some embodiments, the test device 110 may be equipped with an image sensor for capturing images of a color development window of a reagent card inserted into the test device 110 according to specified parameters (e.g., the aforementioned time parameters). According to some embodiments of the present disclosure, after obtaining the image data, the detection device 110 may perform an integral calculation on the image data by using its processing unit to obtain a series of gray scale integral data corresponding to the abscissa. The obtained at least one set of gray scale integration values is supplied as detection data to the terminal device 120. The data amount of the processed gray scale integral value data is greatly reduced compared to the original image data, thereby reducing the communication load of the detection device 110 and the terminal device 120, and the terminal device 120 and the remote server 130 via the network 140. This may reduce the likelihood of transmission errors or transmission interruptions, especially in poor network transmission conditions.
In some embodiments, the transmission of detection data from detection device 110 to terminal device 120 may be actively initiated by detection device 110, e.g., in response to detection device 110 generating detection data. While in other embodiments, transmission of the detection data may be initiated by detection device 110 in response to a command from end device 120, e.g., end device 120 may periodically query detection device 120 whether detection data is to be provided. Further, in some embodiments, after a reagent card is successfully inserted into the detection device 110, the detection device 110 may send a notification to the terminal device 120 (more specifically, e.g., APP on the terminal device) to indicate this, and the detection device 110 starts the detection session by itself, e.g., according to the aforementioned time parameters. After receiving the notification, the APP on the terminal device 120 may set a waiting time according to factors such as the response time of the detected indicator, and after the waiting time is completed, enter a data synchronization link with the detection device 110 to obtain the detection data.
In addition, in some embodiments, when the detection device 110 performs detection, the data detected each time may be marked with a certain characteristic value to ensure the uniqueness of the data. The characteristic values may include, for example, detection time, detection item, user ID, detection device ID, reaction carrier ID, and the like. With these and possibly other information, a unique ID for a single detection can be constructed. The tagging operation may be made in response to an instruction from the terminal device 120 or may be performed autonomously by the detection device 110, to which the present disclosure is not limited. By means of such a unique ID, if an interruption occurs during the detection process, for example due to an uncontrollable reason, the detection device 110 can accurately determine the detection phase that has been performed by checking such a unique ID when it is started up again, e.g. it can be determined whether the last incomplete detection can be continued and a jump to the corresponding operation can be made.
The method 200 continues to step 230. In this step, it is determined whether transmission of the detection data from the detection device to the terminal device is completed. If the test data transmission has not been completed, the flow of method 200 jumps to step 220 to continue receiving test data. If it is determined that the transmission of the test data has been completed, the method 200 proceeds to step 240.
In step 240, a notification is sent to the detection device 110 to indicate the information. In some embodiments, in response to receiving a notification from the terminal device 120 indicating that the transmission of the detection data has been completed, the detection device 110 may empty the buffer/memory storing the detection data, thereby alleviating the requirement for the storage capacity of the detection device 110.
Thereafter, the method 200 proceeds to step 250. In which the detection data is forwarded to a remote server over a network. In some embodiments, the terminal device 120 may not process the received detection data and forward it directly to the remote server 130 via the network 140.
Next, step 260 of method 200 is performed. In this step, a processing result for the detection data is received from the remote server, wherein the processing result indicates a content of the target in the sample.
Continuing with the previous example, where the detected data received by remote server 130 is at least one set of gray scale integration values corresponding to the raw image data, according to some embodiments, remote server 130 may construct a corresponding integration curve from the at least one set of gray scale integration values. Based on the C-line reading position preset for the current test item and the reagent card used, etc., the remote server 130 may find a peak around the preset C-line reading position within a corresponding preset allowable position error range from the constructed integration curve as a C-line test value. Similarly, based on the preset one or more T-line read positions and the corresponding preset allowable position error ranges, the remote server may determine one or more peak values on the integration curve as corresponding T-line detection values.
In some embodiments, remote server 130 may calculate the amount, e.g., concentration, of the target in the sample based on the determined C-line and T-line measurements, in conjunction with the selected equation with the parameters. In some embodiments, for concentration calculations, the remote server 130 may provide an auto-calibration regression mechanism in conjunction with the maintained impact factors and the relevant parameters obtained during the actual testing process to ensure that the final test results are accurate and valid. For example, calibration mechanisms may include, but are not limited to: replacing the concentration calculation equation, replacing the coefficient of the concentration calculation equation, or directly scaling the concentration value.
Further, in some embodiments, the processing results include, in addition to indicating the content of the target in the sample, analytical information generated by remote server 130 based at least in part on the content of the target in the sample. For example, for Aspergillus flavus detection in food products, conclusions can be drawn directly on the basis of the calculated concentration values and corresponding recommendations can be made. In addition, the generation of the analysis information may also be based on relevant historical data recorded in the remote server 130.
Furthermore, in some embodiments, the processing result generation mechanism of the remote server 130 may support multiple modes, such as single-index detection, multiple-index detection, and the like. Single index detection refers to: the user can obtain the result only by detecting once, and the used reagent card only detects a single index (such as aspergillus flavus detection of food, single reagent card); single multi-index detection means: the user can obtain the result by only one detection, and the used reagent card comprises a plurality of indexes (such as antibiotic urinalysis triple, multi-connected reagent card); multiple single index detections refer to: the user needs to test for a plurality of times in a period, the result can be obtained through a plurality of groups of data values, and the used reagent card only contains a single index (such as LH ovulation prediction). The multiple multi-index detection means that: the user needs to test for a plurality of times in a period, the result can be obtained through a plurality of groups of data values, and the reagent card used comprises a plurality of indexes (such as urine microalbumin and urine ketone test).
Returning to method 200, the method proceeds to step 270. In which the processing results received in step 260 are presented. In some embodiments, the processing results may be presented to the user in a visual and/or audible manner, such as through a display and/or speaker provided on terminal device 120.
Fig. 3 illustrates a flow diagram of an example method 300 in accordance with some embodiments of the present disclosure. For example, the method 300 may be implemented on the remote server 130 shown in FIG. 1. In some embodiments, the remote server 130 is implemented using cloud computing technology.
The method 300 begins at step 310. In this step, detection data from a detection device obtained by preprocessing raw data collected from a reaction carrier after a reaction with a target substance in a sample by the detection device is received from a terminal device through a network. Such as terminal device 120 shown in fig. 1 communicatively coupled to remote server 130 via network 140. The detection device is, for example, the detection device 110 shown in fig. 1, which can be connected to the terminal device 120 through, for example, a USB serial port or a bluetooth interface.
The method 300 proceeds to step 320. In this step, the received detection data is processed to generate a processing result indicating the content of the target in the sample.
Unlike some exemplary embodiments described above in connection with the discussion of method 200, which use a gray scale integration value as the detection data provided by detection device 110, in some alternative embodiments, detection device 110 itself may determine the C-line detection value and the T-line detection value in a manner similar to remote server 130 described above, and send the determined C, T-line detection value as detection data to terminal device 120, which forwards it to remote server 130 via network 140.
More specifically, the detection device 110 may determine, as a C-line detection value, a peak value within a corresponding preset allowable position error range on an integration curve constructed from at least one set of gray scale integration values, based on a C-line position preset by the detection device 110, after calculating the at least one set of gray scale integration values corresponding to the acquired image data; and determines a peak value on the constructed integration curve within the corresponding allowable position error range as a T-line detection value based on the T-line position preset by the detection device 110.
Accordingly, in this case, rather than the remote server 130 determining C, T the detection value and then calculating the amount of the target in the sample as described above in connection with the discussion of method 200, the remote server 130 may now calculate the amount of the target in the sample directly from the received C, T detection value in conjunction with the equation for the selected band parameter.
Furthermore, in some embodiments, the detection device 110 may be equipped with not an image sensor, but a simpler light signal detector, such as a photodiode. In this case, the raw data collected by the detection device 110 from the reagent card after reaction with the target in the sample may be at least one set of optical signal detection values. In this case, in some embodiments, the detection data provided by the detection device 110 may include C-line and T-line detection values generated by: determining a peak value in a corresponding allowable position error range in the at least one group of optical signal detection values as a C-line detection value based on a C-line position preset by the detection equipment; and determining a peak value in the corresponding allowable position error range in the at least one group of optical signal detection values as a T-line detection value based on the T-line position preset by the detection device.
Other implementations are possible, for example, the determination of the C, T line detection value and subsequent content calculation may be performed by the remote server 130.
Further, in some embodiments according to the present disclosure, the remote server 130 may manage and control various parameters, equations, etc. related to instruments, reagent cards, test items, etc. For example, in addition to the three time parameters, the remote server 130 may adjust or update the preset C-line position, the allowable position error range corresponding to the preset C-line position, the preset T-line position, the allowable position error range corresponding to the preset T-line position, and so on, for different testing items and used reagent cards. In some embodiments, the remote server 130 may also provide the updated parameters to the detection device 110 via the terminal device 120 for the latter to update its respective built-in parameters. In some embodiments, the adjustment of the detection parameters, equations, equation coefficients, concentration value conversion ratios, and the like can help to obtain more accurate detection results, and meanwhile, the flexibility and maintainability of the whole system are improved. In addition, in some embodiments, the remote server 130 may also be responsible for managing influence factors such as temperature and humidity, which are related factors that may have a large influence on the detection result of the instrument and the reagent card for the detection environment where the user is located.
It should be noted that the numbering order of the steps of the methods 200, 300 is described for ease of illustration only and does not imply that the methods can only be performed in this fixed order. Rather, the order of execution of some steps/operations may be adjusted without affecting the nature of the described aspects.
Fig. 4 illustrates a block diagram of an example apparatus 400 in accordance with some embodiments of the present disclosure. Apparatus 400 may be implemented, for example, in terminal device 120 shown in fig. 1. The example apparatus 400 may be implemented in software, hardware, firmware, or any combination thereof.
In some embodiments of the present disclosure, the apparatus 400 may include a connection establishing unit 410 configured to establish a connection with the detection device, for example, via a USB serial port or a bluetooth interface of the terminal device 120. Such as the detection device 110 shown in fig. 1.
In some embodiments of the present disclosure, the apparatus 400 may further include a detection data forwarding unit 420 configured to receive detection data from the detection device 110, wherein the detection data is obtained after pre-processing, by the detection device 110, raw data collected from a reagent card after reaction with a target in a sample. Detection data forwarding unit 420 may be further configured to, in response to determining that the transmission of the detection data from detection device 110 is complete, send a notification to detection device 110 to indicate this. Furthermore, detection data forwarding unit 420 may be further configured to forward the received detection data from detection device 110 to a remote server. Such as remote server 130 shown in fig. 1 communicatively coupled to end device 120 via network 140.
In some embodiments of the present disclosure, the apparatus 400 may further include a processing result receiving unit 430 configured to receive a processing result for the detection data forwarded by the detection data forwarding unit 420 from the remote server 130, wherein the processing result indicates the content of the target object in the sample. In some embodiments, the processing results also include analytical information generated by remote server 130 based at least in part on the content of the target in the sample.
In some embodiments of the present disclosure, the apparatus 400 may further comprise a processing result presenting unit 440 configured to present the received processing result on the terminal device 120.
Furthermore, in some embodiments of the present disclosure, the apparatus 400 may further include a detection parameter forwarding unit 450 configured to receive updated detection parameters from the remote server 130. Detection parameter forwarding unit 450 may be further configured to forward the received updated detection parameters to detection device 110 for use by detection device 110 to replace the detection parameters built in the device.
It is noted that although the apparatus 400 is shown as including the cell 410 and 450, the apparatus may include more or fewer cells. For example, detection data forwarding unit 420 and/or detection parameter forwarding unit 450 shown in fig. 4 may be divided into different units, each for performing at least a portion of the various operations described herein. In addition, for example, detection data forwarding unit 420 and detection parameter forwarding unit 450 may also be combined, rather than operating as separate units. Furthermore, the apparatus 400 may also include other units, or one or more existing units thereof may be further configured to perform other operations performed by the terminal device described in the present disclosure.
Fig. 5 illustrates a block diagram of an example apparatus 500, in accordance with some embodiments of the present disclosure. For example, the apparatus 500 may be implemented in the remote server 130 shown in fig. 1. The example apparatus 500 may be implemented in software, hardware, firmware, or any combination thereof.
In some embodiments of the present disclosure, the apparatus 500 may comprise a detection data receiving unit 510 configured to receive, from a terminal device, detection data from a detection device, wherein the detection data is obtained by the detection device after pre-processing raw data collected from a reaction carrier after a reaction with a target in a sample. Such as terminal device 120 shown in fig. 1 communicatively coupled to remote server 130 via network 140. The detection device is, for example, the detection device 110 shown in fig. 1, which can be connected to the terminal device 120 through, for example, a USB serial port or a bluetooth interface.
In some embodiments of the present disclosure, the apparatus 500 may further include a processing result generating unit 520 configured to process the detection data received by the detection data receiving unit 510 to generate a processing result, wherein the processing result indicates the content of the target in the sample. In some embodiments, the processing results further comprise analytical information generated based at least in part on the amount of target in the sample.
In some embodiments of the present disclosure, the apparatus 500 may further include a processing result transmitting unit 530 configured to transmit the generated processing result to the terminal device 120 for presentation on the terminal device 120.
Additionally, in some embodiments of the present disclosure, the apparatus 500 may further include a detection parameter updating unit 540 configured to update one or more detection parameters in the remote server 130.
Furthermore, in some embodiments of the present disclosure, the apparatus 500 may further include a detection parameter sending unit 550 configured to send the updated detection parameter to the terminal device 120, where the updated detection parameter is to be forwarded by the terminal device 120 to the detection device 110 for the detection device 110 to replace the detection parameter built in the device.
It is also noted that although apparatus 500 is shown as including unit 510 and 550, the apparatus may include more or fewer units to implement the described functionality. Additionally, apparatus 500 may include other elements, or one or more of its existing elements may be further configured to perform other operations described in this disclosure as being performed by a remote server.
Turning now to fig. 6, a block diagram of an exemplary terminal device 600 is shown, in accordance with some embodiments of the present disclosure. As shown here, the terminal device 600 may include one or more processors 610 and memory 620. The one or more processors 610 may include any type of general-purpose processing unit/core (e.g., without limitation, CPU, GPU), or special-purpose processing unit, core, circuit, controller, or the like. Memory 620 may include any type of media that can be used to store data. The memory 620 is configured to store instructions that, when executed, cause the one or more processors 610 to perform the operations of any of the methods described in this disclosure in connection with a terminal device (e.g., the exemplary method 200, etc.).
Further, a device having a similar structure as the exemplary terminal device 600 may also be configured to perform the operations of any of the methods described in this disclosure in connection with a remote server (e.g., the exemplary method 300, etc.).
Various embodiments described herein may include or operate on multiple components, parts, units, modules, instances, or mechanisms, which may be implemented in hardware, software, firmware, or any combination thereof. Examples of hardware may include, but are not limited to: devices, processors, microprocessors, circuits, circuit elements (e.g., transistors, resistors, capacitors, inductors, and so forth), integrated circuits, Application Specific Integrated Circuits (ASIC), Programmable Logic Devices (PLD), Digital Signal Processors (DSP), Field Programmable Gate Array (FPGA), memory units, logic gates, registers, semiconductor device, chips, microchips, chip sets, and so forth. Examples of software may include, but are not limited to: software components, programs, applications, computer programs, application programs, system programs, machine programs, operating system software, middleware, software modules, routines, subroutines, functions, methods, procedures, software interfaces, Application Programming Interfaces (API), instruction sets, computer code segments, words, values, symbols, or any combination thereof. Determining whether an embodiment is implemented using hardware, software, and/or firmware may vary depending on a number of factors, such as the desired computational rate, power levels, heat tolerances, processing cycle budget, input data rates, output data rates, memory resources, data bus speeds and other design or performance constraints, as desired for a given embodiment.
Some embodiments described herein may comprise an article of manufacture. The article of manufacture may comprise a storage medium. Examples of storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. Storage media may include, but are not limited to: random Access Memory (RAM), Read Only Memory (ROM), Programmable Read Only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, Compact Discs (CD), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium capable of being used to store information. In some embodiments, an article of manufacture may store executable computer program instructions that, when executed by one or more processing units, cause the processing units to perform the operations described herein. The executable computer program instructions may include any suitable type of code, for example, source code, compiled code, interpreted code, executable code, static code, dynamic code, and the like. The executable computer program instructions may be implemented using any suitable high-level, low-level, object-oriented, visual, compiled and/or interpreted programming language.
Some exemplary implementations of the present disclosure are described below.
According to an embodiment of the present disclosure, there is provided a method for detection, the method including: receiving, at a terminal device, detection data from a detection device, wherein the detection data is obtained by the detection device after preprocessing raw data collected from a reaction carrier after a reaction with a target in a sample; forwarding the received detection data to a remote server through a network; and receiving a processing result for the detection data from the remote server, the processing result indicating a content of the target in the sample.
In one embodiment, the raw data comprises image data.
In one embodiment, the detection data includes at least one set of gray scale integration values corresponding to the image data.
In one embodiment, the processing result is generated by: determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a C-line detection value based on a C-line position preset by the remote server; determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a T-line detection value based on a T-line position preset by the remote server; and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
In one embodiment, the detection data includes a C-line detection value and a T-line detection value, which are generated by: calculating at least one set of gray scale integration values corresponding to the image data; determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as the C-line detection value based on a C-line position preset by the detection device; and determining a peak value within a corresponding allowable position error range on an integral curve constructed from the at least one set of gray scale integral values as the T-line detection value based on a T-line position preset by the detection device.
In one embodiment, the raw data comprises at least one set of light signal detection values.
In one embodiment, the detection data includes a C-line detection value and a T-line detection value, which are generated by: determining a peak value in a corresponding allowable position error range in the at least one group of optical signal detection values as the C-line detection value based on a C-line position preset by the detection device; and determining a peak value in the corresponding allowable position error range in the at least one group of optical signal detection values as the T-line detection value based on the T-line position preset by the detection device.
In one embodiment, the processing result is generated by: and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
In one embodiment, the method further comprises: receiving updated detection parameters from the remote server; and forwarding the received updated detection parameters to the detection device for the detection device to replace the detection parameters of the device.
In one embodiment, the detection parameters include one or more of: the method comprises the following steps of presetting a C line position, an allowable position error range corresponding to the presetting C line position, a presetting T line position, an allowable position error range corresponding to the presetting T line position, a presetting waiting time before detection, a presetting minimum detection interval time and a presetting detection cut-off time.
In one embodiment, the method further comprises binding a user with the detection device, wherein the binding comprises associating a user identity with an identity of the detection device.
In one embodiment, the detection data contains a unique identification capable of indicating: detection time, detection items, user identification, identification of the detection device, and identification of the reaction carrier.
In one embodiment, the identification of the detection device can also indicate the model of the detection device.
In one embodiment, the identification of the reaction carrier can also indicate a batch of the reaction carrier.
In one embodiment, the processing results further comprise analytical information generated by the remote server based at least in part on the content of the target in the sample.
In one embodiment, the method further comprises: and presenting the processing result on the terminal equipment.
In one embodiment, the method further comprises sending a notification to the detection device to indicate that the transmission of detection data from the detection device to the terminal device is complete.
According to an embodiment of the present disclosure, there is provided a method for detection, the method including: receiving detection data from a detection device from a terminal device through a network, wherein the detection data is obtained by preprocessing raw data acquired from a reaction carrier after a reaction with a target object in a sample by the detection device; processing the received detection data to generate a processing result, the processing result indicating a content of a target in the sample; and sending the processing result to the terminal equipment.
In one embodiment, the raw data includes image data, and the detection data includes at least one set of gray scale integration values corresponding to the image data.
In one embodiment, processing the received detection data to generate a processing result comprises: determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a C-line detection value based on a preset C-line position; determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a T-line detection value based on a preset T-line position; and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
In one embodiment, the raw data comprises at least one set of light signal detection values, the detection data comprises C-line detection values and T-line detection values, the C-line detection values and the T-line detection values are generated by: determining a peak value in a corresponding allowable position error range in the at least one group of optical signal detection values as the C-line detection value based on a C-line position preset by the detection device; and determining a peak value in the corresponding allowable position error range in the at least one group of optical signal detection values as the T-line detection value based on the T-line position preset by the detection device.
In one embodiment, processing the received detection data to generate a processing result comprises: and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
In one embodiment, the method further comprises: updating one or more detection parameters; and sending the updated detection parameters to the terminal device, where the updated detection parameters are forwarded to the detection device by the terminal device to be used by the detection device to replace the detection parameters of the device, where the detection parameters include one or more of: the method comprises the following steps of presetting a C line position, an allowable position error range corresponding to the presetting C line position, a presetting T line position, an allowable position error range corresponding to the presetting T line position, a presetting waiting time before detection, a presetting minimum detection interval time and a presetting detection cut-off time.
In some embodiments, processing the received detection data to generate a processing result further comprises: generating analytical information based at least in part on the amount of the target in the sample.
According to an embodiment of the present disclosure, there is provided a computer-readable storage medium having stored thereon instructions that, when executed by at least one processor, cause the at least one processor to perform any one of the methods described in the present disclosure.
According to one embodiment of the present disclosure, there is provided an apparatus for detection, the apparatus comprising means for performing any one of the methods described in the present disclosure.
According to an embodiment of the present disclosure, there is provided an apparatus including: a memory for storing instructions; and at least one processor coupled to the memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to perform any one of the methods described in this disclosure.
What has been described above includes examples of the disclosed architecture. It is, of course, not possible to describe every conceivable combination of components and/or methodologies, but one of ordinary skill in the art may recognize that many further combinations and permutations are possible. Accordingly, the novel architecture is intended to embrace all such alterations, modifications and variations that fall within the spirit and scope of the appended claims.
Claims (18)
1. A method for detection, comprising:
receiving, at a terminal device, detection data from a detection device, wherein the detection data is obtained by the detection device after preprocessing raw data collected from a reaction carrier after a reaction with a target in a sample;
forwarding the received detection data to a remote server through a network; and
receiving, from the remote server, a processing result for the detection data, the processing result indicating a content of a target in the sample.
2. The method of claim 1, wherein the raw data comprises image data.
3. The method of claim 2, wherein the detection data comprises at least one set of gray scale integration values corresponding to the image data.
4. The method of claim 3, wherein the processing result is generated by:
determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a C-line detection value based on a C-line position preset by the remote server;
determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a T-line detection value based on a T-line position preset by the remote server; and
and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
5. The method of claim 1, further comprising:
receiving updated detection parameters from the remote server; and
forwarding the received updated detection parameters to the detection device for use by the detection device in replacing the detection parameters of the device,
wherein the detection parameters include one or more of: the method comprises the following steps of presetting a C line position, an allowable position error range corresponding to the presetting C line position, a presetting T line position, an allowable position error range corresponding to the presetting T line position, a presetting waiting time before detection, a presetting minimum detection interval time and a presetting detection cut-off time.
6. The method of claim 1, further comprising binding a user with the detection device, wherein the binding comprises associating a user identification with an identification of the detection device.
7. The method of claim 1, wherein the detection data contains a unique identification capable of indicating: detection time, detection items, user identification, identification of the detection device, and identification of the reaction carrier.
8. The method of claim 2, wherein the detection data includes a C-line detection value and a T-line detection value, the C-line detection value and the T-line detection value generated by:
calculating at least one set of gray scale integration values corresponding to the image data;
determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as the C-line detection value based on a C-line position preset by the detection device; and
and determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as the T-line detection value based on a preset T-line position of the detection device.
9. The method of claim 8, wherein the processing result is generated by:
and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
10. The method of claim 1, wherein the raw data comprises at least one set of optical signal detection values, and wherein the detection data comprises C-line detection values and T-line detection values generated by:
determining a peak value in a corresponding allowable position error range in the at least one group of optical signal detection values as the C-line detection value based on a C-line position preset by the detection device; and
and determining a peak value in the corresponding allowable position error range in the at least one group of optical signal detection values as the T-line detection value based on the T-line position preset by the detection device.
11. The method of claim 1, further comprising: and presenting the processing result on the terminal equipment.
12. A computer-readable storage medium having stored thereon instructions, which when executed by at least one processor, cause the at least one processor to perform the method of any one of claims 1-11.
13. An apparatus for detecting, comprising means for performing the method of any one of claims 1-11.
14. A terminal device, comprising:
a memory for storing instructions; and
at least one processor coupled to the memory, wherein the instructions, when executed by the at least one processor, cause the at least one processor to perform the method of any of claims 1-11.
15. A method for detection, comprising:
receiving detection data from a detection device from a terminal device through a network, wherein the detection data is obtained by preprocessing raw data acquired from a reaction carrier after a reaction with a target object in a sample by the detection device;
processing the received detection data to generate a processing result, the processing result indicating a content of a target in the sample; and
and sending the processing result to the terminal equipment.
16. The method of claim 15, wherein the raw data comprises image data, the detection data comprises at least one set of gray scale integration values corresponding to the image data, and wherein processing the received detection data to generate a processing result comprises:
determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a C-line detection value based on a preset C-line position;
determining a peak value within a corresponding allowable position error range on an integral curve constructed according to the at least one group of gray scale integral values as a T-line detection value based on a preset T-line position; and
and calculating the content of the target object in the sample according to the C line detection value and the T line detection value.
17. The method of claim 15, further comprising:
updating one or more detection parameters; and is
Sending the updated detection parameters to the terminal device, wherein the updated detection parameters are forwarded to the detection device by the terminal device to be used by the detection device to replace the detection parameters of the device,
wherein the detection parameters include one or more of: the method comprises the following steps of presetting a C line position, an allowable position error range corresponding to the presetting C line position, a presetting T line position, an allowable position error range corresponding to the presetting T line position, a presetting waiting time before detection, a presetting minimum detection interval time and a presetting detection cut-off time.
18. An apparatus for detecting, comprising means for performing the method of any of claims 15-17.
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