CN115298321A - Method for counting microbial colonies - Google Patents
Method for counting microbial colonies Download PDFInfo
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- CN115298321A CN115298321A CN202180018735.5A CN202180018735A CN115298321A CN 115298321 A CN115298321 A CN 115298321A CN 202180018735 A CN202180018735 A CN 202180018735A CN 115298321 A CN115298321 A CN 115298321A
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/02—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving viable microorganisms
- C12Q1/04—Determining presence or kind of microorganism; Use of selective media for testing antibiotics or bacteriocides; Compositions containing a chemical indicator therefor
- C12Q1/06—Quantitative determination
Abstract
In a method for counting microbial colonies, a sample including colonies to be counted is prepared, an image of the sample is captured by a camera, and the image is displayed on a screen. The image area of the image is identified as a colony by manual selection using an input device at least once. Then, other image regions of the image similar to the image region identified as a colony by manual selection are also automatically identified as a colony. The number of colonies in the sample is calculated by adding together all image areas identified as colonies by manual selection and all image areas identified as colonies automatically.
Description
Technical Field
The invention relates to a method for enumerating microbial colonies, wherein a sample comprising colonies to be enumerated is provided, an image of the sample is captured by means of a camera, and the image is displayed on a screen.
Background
Such methods are used in particular in medicine and industry to analyze biological materials for the presence of bacteria. The biological material may be, for example, a body fluid (such as blood or urine) or also a food product (such as milk or beer). The sample may comprise a transparent vessel, such as a petri dish, in which the growth medium, in particular agar, is placed, wherein the colonies to be counted are located on the growth medium.
The counting of the microbial colonies on the provided samples can in principle be carried out manually. For example, colonies may be marked with a felt-tip pen on the back side of a petri dish and then the colonies may be counted. Colony counting devices with a stylus and an electronic counter are also known. With such a device, the evaluator can tap each colony with a stylus, wherein the pressure applied during the tap is recognized by the sensor and transmitted to the electronic counter. The electronic counter greatly reduces the effort to count samples. However, manually labeling all colonies of a sample is time consuming and tedious.
The effort can be further reduced by fully automatic counting by means of image processing. In addition to the camera and the screen, the corresponding fully automatic colony counting device also has an integrated computer on which an image processing program is run. The predefined criteria are used to search for colonies in an image of the sample captured by the camera. However, the corresponding equipment is large, heavy and expensive.
The programming of such fully automated counting devices, and in particular the definition of the above criteria for the presence of colonies, is particularly complex and difficult. That is, the microbial colonies have different appearances depending on which type of bacteria is studied, which growth medium is present, and how the sample is illuminated. It must be ensured not only that in each combination of the mentioned conditions a program parameter set is present, but also that in each individual application case the correct program parameter set is used. This means that a large number of test counts must be performed in order to be able to achieve an acceptable reliability of the fully automatic count.
Disclosure of Invention
It is an object of the present invention to provide a method for enumerating microbial colonies which can be performed in a simple manner and which has a high reliability with respect to the identification of the colonies.
This object is achieved by a method having the features of claim 1.
According to the invention, provision is made for:
(i) The image areas of the image are marked as colonies at least once by manual selection by means of an input device,
(ii) Subsequently, other image regions of the image which are similar to the image regions marked as colonies by manual selection are automatically also marked as colonies by means of the image processing system, and
(iii) The colony count of the sample is determined by adding all image areas labeled as colonies selected by hand and all image areas labeled as colonies automatically.
The user thus selects one or more image segments based on their knowledge and experience that are classified as colonies based on the displayed images. The image processing system then searches the images for similar image regions and also labels them as colonies. All marked image areas are then counted, preferably by means of an electronic counter. The workload of the user is significantly reduced by automatic marking and counting. Then, no extensive programming effort is required, since the automatic identification of colonies by the image processing system is ultimately based on the appearance predefined by the user in the respective individual case. That is, an experienced user typically identifies colonies on different growth media and under different lighting conditions. The invention thus enables a semi-automatic counting of microbial colonies, which can be carried out simply and quickly but still with high reliability.
It may be provided that steps (i) and (ii) are carried out a plurality of times in succession, wherein the image regions marked as colonies by manual selection and the image regions marked as colonies automatically are added up in succession, or wherein step (iii) is carried out only when the marking is indicated to be completed by means of the input device. In this way, a user can manually mark different types of colonies individually. In this regard, the image processing system may be designed to automatically identify only colonies of the same type each. In this regard, the similarity criterion applied in step (ii) may be defined relatively narrowly. For example, after manually selecting a colony having a certain size, only image areas having at least substantially the same size may be automatically labeled as colonies. This procedure achieves a particularly high reliability.
The image regions automatically labeled as colonies may each be associated with one of a plurality of colony categories. The association may be performed using a classification process by means of an image processing system.
Embodiments of the invention provide that step (ii) is carried out with the aid of a trainable object recognition method and that the manually selected image regions marked as colonies in step (i) are used for training the object recognition method. This enables improved automatic marking over time. Furthermore, it is thus possible to switch to the fully automatic marking after a sufficient number of training units.
According to a particular embodiment of the invention, the image areas marked as colonies selected manually in step (i) are each stored as a template in an electronic memory device. The stored template, in particular in the form of a small image file, may be used as a template for a subsequent training unit.
Those other image areas of the image which are similar to the at least one stored template are automatically marked as colonies by means of the image processing system. This step may also be performed in addition to the similarity check performed in step (ii), whereby a more automated labeling is possible. This means that the stored template can also be used to identify colonies that are not identified via the algorithm performed separately in step (ii). The templates may be stored in different folders, in particular in the form of small image files, to enable association with different bacteria types, growth media and/or lighting settings. Before or after the manual selection, the image captured by the camera may be sufficiently scanned to obtain a correspondence of the image sections and the templates associated with the respective growth media.
A further embodiment of the invention provides that, after the execution of step (ii), in particular after each execution of step (ii), if necessary, the marking of image regions which were incorrectly marked as colonies in step (ii) is cancelled in a manual correction process by means of the input device, and/or, if necessary, image regions which were incorrectly not marked as colonies in step (ii) are also subsequently marked as colonies in a manual correction process by means of the input device, wherein the object recognition method used by the image processing system to execute step (ii) is adjusted by means of the manual correction process. With this variant, the user therefore retains control over the marking, since image areas "incorrectly" marked by the image processing system can be deleted again, and image areas "missing" by the image processing system can subsequently be marked. The corresponding correction can advantageously be used for training the image processing system.
The image areas unmarked as part of the manual correction process and/or the image areas subsequently marked as part of the manual correction process may be stored in particular in an electronic memory device. Together with these image regions, information about the correction process can be stored, that is to say, for example, a description as to whether incorrectly marked or incorrectly unmarked regions. This enables faster and better teaching of the image processing system.
According to a further embodiment of the invention, the similarity criterion applied in step (ii) is adjusted according to a manual correction procedure. For example, if subsequent marks are found to be frequently needed, the upper limit on the size of similar image areas may be shifted upwards. Conversely, if an image area is again frequently deleted from the marked image area list, the downward shift of the upper limit may be considered. The learning based on incorrect classification can be carried out in particular by means of an adaptive method (adaptive Verfahrens), in particular by means of an adaptive Clustering method (adaptive Cluster-Verfahrens).
In step (ii), those image areas of the image are preferably automatically labeled as colonies which deviate in size, shape, color, contrast and/or brightness from the image areas labeled as colonies manually selected in step (i) by a predefined maximum deviation or less. It has been found that acceptable colony identification can be achieved based on this simple similarity criterion. This makes it unnecessary to perform more complicated object recognition methods, such as object recognition methods based on feature extraction.
According to a further embodiment of the invention, the image areas marked as colonies are highlighted by means of markers, in particular the image areas marked as colonies, which are manually selected in step (i) on the one hand, and which are automatically marked as colonies in step (ii) on the other hand, are highlighted by different markers. This makes manual selection easier for the operator of the device. The markers may be colored borders, e.g. in the form of rectangles or circles, delineating or framing the respective image area.
Provision may be made for the image to be displayed on a touch-sensitive screen and for the manual selection in step (i) to be carried out by touching the screen, in particular by tapping. In this embodiment, the input device is integrated into the screen. The touch sensitive screen may particularly be part of a portable computer, such as a tablet or laptop computer. Manual selection by tapping or "touching" the image area with a finger or with a stylus is particularly intuitive and simple. However, in general, manual selection may be performed using a computer mouse as an input device.
The sample is preferably illuminated by means of the illumination device when the image is captured. The lighting device may comprise one or more white or colored light sources, in particular light emitting diodes. The illumination device may further comprise an illumination unit configured for incident light illumination and an illumination unit configured for transmitted light illumination.
The captured images are preferably stored in an electronic memory device. Thus, the counting of colonies need not be performed immediately after the image acquisition, but may also be performed at any desired later point in time. Furthermore, the already counted samples can then be checked on the basis of the stored images.
According to a preferred embodiment, the image areas marked as colonies in step (i) selected manually, the image areas marked as colonies in step (ii) automatically, the type of microorganism forming the colonies, the type of culture medium of the sample and/or the settings of the lighting device are stored in an electronic memory device together with the captured image. If the stored image areas are used as templates, for example, it is thus ensured that only those templates which are suitable for the current conditions are taken into account. The correction steps specified above may also be stored with the captured images, if desired, to enable improved training of the image processing system.
The captured image is preferably transmitted to the screen by means of a wireless data transmission system. The wireless data transmission can take place in particular by means of a local radio network, such as a WLAN (wireless local area network). This eliminates the need to integrate a screen and image processing system into the colony counting device. Instead, a separate tablet or laptop computer may be used to display and evaluate the captured images. The counting device itself can therefore have a particularly simple and inexpensive design.
The invention also relates to a device for counting microbial colonies, comprising: a receiver for a sample comprising colonies to be enumerated; an illumination device for illuminating the sample; a camera for capturing at least one image of a sample; and a computer connectable to the camera and having a screen for displaying an image captured by the camera and an input device for manually selecting an image area in the displayed image.
According to the invention, the computer is configured to automatically label those other image areas of the image which are similar to the image areas labeled as colonies by manual selection as colonies also after marking the image areas as colonies by manual selection by means of the input device, and to determine the number of colonies of the sample by adding all image areas labeled as colonies by manual selection and all image areas labeled as colonies automatically. Such a device forms an auxiliary system that facilitates the counting of samples without requiring a large amount of programming effort.
The computer may be designed as a portable computer, in particular as a tablet computer. Therefore, it is not necessary to integrate the computer into the device. The device preferably has a holder for a portable computer. For example, the housing of the device may have a holder section for a portable computer, in particular in the form of a simple tablet holder.
The computer may have a touch sensitive screen forming an input device. Marking the image areas of the captured image as colonies by means of tapping is particularly simple and intuitive.
The invention also relates to a device for counting microbial colonies, comprising: a receiver for a sample comprising colonies to be enumerated; an illumination device for illuminating the sample; a camera for capturing at least one image of a sample; and a computer connectable to the camera and configured to automatically label image areas of the image captured by the camera as colonies and to determine a number of image areas automatically labeled as colonies as a number of colonies of the sample, wherein the device is designed in particular as described above.
According to the invention, the computer is configured to perform automatic labeling by means of a trainable object recognition method which is trained using captured image areas of the image which are manually selected by means of an input device and labeled as colonies. Thus, automatic labeling is based on a self-learning approach using manual selection for training. Thus, the user's knowledge and experience can be directly injected into the automatic labeling method. Thus, no long and complex programming of the computer is required.
The invention also relates to a computer program product comprising a computer program which, when executed on a computer of an apparatus as described above, performs the method as described above.
Further developments of the invention can also be seen from the dependent claims, the description and the drawings.
Drawings
The invention will now be described, by way of example, with reference to the accompanying drawings.
FIG. 1 is a schematic view of an apparatus for enumerating microbial colonies according to the present invention;
fig. 2 shows a perspective view of the device according to fig. 1, with the tablet computer placed on a stand; and is
Fig. 3 shows the device according to fig. 2 without the tablet.
Detailed Description
Fig. 1 schematically shows an exemplary embodiment of an apparatus 10 for enumerating microbial colonies, comprising a housing 11 with a receptacle 12 for a sample 14 comprising colonies to be enumerated. The specimen 14 may be a petri dish in which agar, including growth media, is placed. The receptacle 12 for positioning the sample 14 may be a recess formed in the housing 11 and having the shape and dimensions of a common petri dish. The apparatus 10 further comprises an illumination device 16 for illuminating the sample 14. In the illustrated embodiment, the illumination device 16 includes an incident light illumination unit 17 and a transmitted light illumination unit 18.
The digital camera 19 is arranged at the housing 11 such that it can capture images of the sample 14 located in the receiver 12. The electronic control device 23 is signally connected to the camera 19 and serves to control the operation of the camera 19 and to transmit the images captured by the camera 19 to a computer 27 via a data transmission path 25. On the other hand, the electronic control device 23 is also used to control the lighting device 16.
The computer 27 is designed as a tablet computer and comprises a touch-sensitive screen 29. Further, the computer 27 includes a data receiving unit 30; a program memory 31; a data storage 32; and a network controller 33. The data transmission path 25 is preferably a wireless connection, for example a local radio connection. In general, however, the data transmission path 25 may also include a transmission line.
A holder 34 for the computer 27 is formed at the housing 11, as can be seen in the perspective views according to fig. 2 and 3. As shown, the retainer 34 may include a support surface 50; a rear contact surface 51, in particular an inclined contact surface 51 (fig. 3); and a front retaining abutment 52, in particular a strip-shaped retaining abutment 52.
In order to count the microbial colonies of the sample 14 by means of the apparatus 10, the sample 14 is first positioned in the receptacle 12. The sample 14 is then illuminated by means of the illumination device 16. In this regard, a user may select one of a plurality of possible lighting settings via an operating element (not shown). An image 35 of the illuminated sample 14 is captured by means of the camera 19 (fig. 1), transmitted via the data transmission path 25, and displayed on the touch sensitive screen 29 of the computer 27. Further evaluation is carried out only by means of the computer 27. This means that the sample 14 can in principle be removed from the receiver 12 after the display of the image 35 on the touch sensitive screen 29. Similarly, the computer 27 may be removable from the housing 11 of the device 10.
The user searches for colonies in the displayed image 35 and taps with his finger those image areas 37 in the image 35 that he believes are colonies based on knowledge and experience. Once the user marks image area 37 as a colony by tapping, the image processing system of computer 27 ensures that all other image areas 39 of image 35 that are similar to image area 37 that was marked as a colony by tapping, based on meeting the predefined similarity criteria, are also automatically marked as colonies. In particular, those image areas 39 of the image 35 may be automatically marked as colonies that deviate in size, shape, color, contrast and/or brightness from the image areas 37 marked as colonies by tapping by a predefined maximum deviation or less.
After the automatic marking is done by the image processing system, the user may make a manual correction, i.e. he may cancel the marking of the incorrectly marked image area 30 again by tapping and, if necessary, he may perform a subsequent marking by tapping the further image area 37. The user continues to tap the image area 37 until, from his perspective, all colonies of the sample 14 are marked in the image 35. To facilitate the evaluation by the user, the manually marked image area 37 and the automatically marked image area 39 are highlighted by markers 40, preferably in different colors or, as shown, in different line types. It will be appreciated that manual selection of the image area 37 by the user may also be generally made by tapping with a stylus or by mouse clicking.
The image areas 37, which are manually marked as colonies, and the image areas 39, which are automatically marked as colonies, are successively added to determine the number of colonies of the sample 14 in this way.
Alternatively, the colony count of the sample 14 may be determined by adding all image areas 37 manually marked as colonies and all image data 39 automatically marked as colonies only after receiving a confirmation command. The confirmation command may be input by the user, for example, by tapping a switch element (not shown in the figure) displayed on the touch-sensitive screen 29.
The result of the counting is displayed on the touch sensitive screen 29.
The automatic marking of the image areas 39 and the adding of the marked image areas 37, 39 is performed by a computer program stored in the program memory 31.
The captured image 35 is stored in the data storage 32 along with manually marked image area 37, automatically marked image area 39, settings of the lighting device 16, the type of colony forming microorganism and the type of culture medium entered by the user, according to corresponding user inputs. In addition, for each automatic marking process, correction steps subsequently performed by the user are stored. In each case, manual labeling and correction are used to train an object recognition method that performs automatic labeling. Thus, the object recognition process learns based on manual user input and thus becomes more reliable over time.
The above-described counting process is performed when the device 10 is in the auxiliary mode or the semi-automatic mode. However, the device 10 may also be set to a manual mode, in which marking all image areas 37 as colonies is performed by tapping. Furthermore, the device 10 can also be set to a fully automatic mode, in which the marking of all image areas 39 as colonies takes place automatically. It has been shown that sufficient reliability for fully automatic counting can be achieved by training the object recognition method based on the use of the device 10 in the auxiliary mode. For example, approximately ten training sessions may already be sufficient to enable device 10 to operate in a fully automatic mode. However, fully automatic operation may also be possible sooner or later.
An advantage of counting the samples 14 based on the displayed image 35 is that the state is frozen and thus there is no time pressure during marking and counting. Unlike fully automatic counting, which is not performed by systems trained by manual input, no complex programming needs to be performed. This is sufficient if a relatively simple computer program is executed on the computer 27. Such a computer program may also be executed on a tablet computer not specifically intended for use in the apparatus 10 for enumerating microbial colonies. Instead of the tablet computer, a notebook computer or a single board PC having a tablet computer may also be provided as the computer 27. The magnification of the sample 14 represents a saving in the use of magnifying glasses. A pen with a rubber sleeve may be included with the touch sensitive screen 29 to make it easier to manually select the image area 37.
List of reference numerals
10. Device for counting microbial colonies
11. Shell body
12. Receiver with a plurality of receivers
14. Sample(s)
16. Lighting device
17. Incident light illuminating unit
18. Transmitted light illumination unit
19. Camera with camera module
23. Electronic control device
25. Data transmission path
27. Computer with a memory card
29. Touch sensitive screen
30. Data receiving unit
31. Program memory
32. Data storage
33. Network controller
34. Retainer
35. Image of a person
37. Manually marked image areas
39. Automatically marked image areas
40. Marker substance
50. Support surface
51. Contact surface
52. The abutment is retained.
Claims (20)
1. A method for counting microbial colonies,
wherein a sample (14) comprising colonies to be counted is provided, an image (35) of the sample (14) is captured by means of a camera (19), and the image (35) is displayed on a screen (29),
it is characterized in that the preparation method is characterized in that,
(i) Marking an image area (37) of the image (35) as a colony at least once by manual selection by means of an input device (29),
(ii) Subsequently, other image areas (39) of the image (35) that are similar to the manually selected image area (37) marked as a colony are automatically also marked as a colony by means of an image processing system, and
(iii) The colony count of the sample is determined by adding all image areas marked as colonies (37) selected manually and all image areas marked as colonies automatically (39).
2. The method of claim 1, wherein the first and second light sources are selected from the group consisting of,
it is characterized in that the preparation method is characterized in that,
(iii) performing steps (i) and (ii) a plurality of times in succession, wherein the manually selected image area (37) marked as colonies and the automatically marked image area (39) are added in succession, and wherein step (iii) is performed only when marking is indicated to be complete by means of the input device (29).
3. The method of claim 2, wherein the first and second light sources are selected from the group consisting of,
it is characterized in that the preparation method is characterized in that,
step (ii) is performed by means of a trainable object recognition method, and in step (i) the manually selected image areas (37) marked as colonies are used for training the object recognition method.
4. The method of claim 3, wherein the first and second light sources are selected from the group consisting of,
it is characterized in that the preparation method is characterized in that,
in step (i) the manually selected image areas (37) marked as colonies are each stored as a template in an electronic memory device (32).
5. The method of claim 4, wherein the first and second light sources are selected from the group consisting of,
it is characterized in that the preparation method is characterized in that,
further image regions (39) of the image (35) similar to at least one stored template are automatically marked as colonies by means of the image processing system.
6. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
after the execution of step (ii), in particular each time after the execution of step (ii), if necessary the marking of image regions (39) which were incorrectly marked as colonies in step (ii) is cancelled by means of the input device (29) in a manual correction process, and/or if necessary image regions (39) which were incorrectly not marked as colonies in step (ii) are subsequently also marked as colonies in a manual correction process by means of the input device (29), wherein the object recognition method used by the image processing system to execute step (ii) is adjusted by means of the manual correction process.
7. The method of claim 6, wherein the first and second light sources are selected from the group consisting of,
it is characterized in that the preparation method is characterized in that,
storing in an electronic memory device (32) image areas (39) unmarked as part of the manual correction process and/or image areas (39) subsequently marked as part of the manual correction process.
8. The method of claim 6 or claim 7,
it is characterized in that the preparation method is characterized in that,
(iii) adjusting the similarity criteria applied in step (ii) according to the manual correction procedure.
9. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
in step (ii), the image areas (39) of the image (35) are automatically marked as colonies which deviate in size, shape, color, contrast and/or brightness from the manually selected image areas (37) marked as colonies in step (i) by a predefined maximum deviation or by a smaller deviation.
10. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
image areas (37, 39) marked as colonies are highlighted by a marker (40), in particular wherein the manually selected image areas marked as colonies (37) in step (i) on the one hand and the automatically marked image areas marked as colonies (39) in step (ii) on the other hand are highlighted by different markers (40).
11. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
(ii) displaying said image (35) on a touch sensitive screen (29) and performing said manual selection in step (i) by touching said screen (29), in particular by tapping.
12. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
-illuminating the sample (14) by means of an illumination device (16) while capturing the image (35).
13. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
the captured image (35) is stored in an electronic memory device (32).
14. The method of claim 13, wherein the first and second light sources are selected from the group consisting of,
it is characterized in that the preparation method is characterized in that,
storing in the electronic memory device (32) together with the captured image (35) the manually selected image area (37) marked as a colony in step (i), the automatically marked image area (39) marked as a colony in step (ii), the type of microorganism forming the colony, the type of culture medium of the sample (14) and/or the settings of the lighting device (16).
15. The method according to any one of the preceding claims,
it is characterized in that the preparation method is characterized in that,
-transmitting the captured image (35) to the screen (29) by means of a wireless data transmission system (25).
16. A device (10) for counting colonies of microorganisms,
the method comprises the following steps: a receptacle (12) for a sample (14) comprising colonies to be counted; an illumination device (16) for illuminating the sample (14); a camera (19) for capturing at least one image (35) of the sample (14); and a computer (27) connectable to the camera (19) and having a screen (29) for displaying an image (35) captured by the camera (19) and an input device (29) for manually selecting an image area (37) in the displayed image (35),
it is characterized in that the preparation method is characterized in that,
the computer (27) is configured to automatically label also other image areas (39) of the image (35) similar to the manually selected image areas (37) labeled as colonies after marking the image areas (37) as colonies by manual selection by means of the input device (29), and to determine the colony count of the sample (14) by adding all image areas (37) labeled as colonies manually selected and all image areas (39) labeled as colonies automatically selected.
17. The apparatus as set forth in claim 16, wherein,
it is characterized in that the preparation method is characterized in that,
the computer (27) is designed as a portable computer, in particular as a tablet computer, and the device has a holder (34) for the portable computer (27).
18. The apparatus of claim 16 or claim 17,
it is characterized in that the preparation method is characterized in that,
the computer (27) has a touch sensitive screen (29) forming the input device.
19. A device (10) for counting colonies of microorganisms,
the method comprises the following steps: a receptacle (12) for a sample (14) comprising colonies to be counted; an illumination device (16) for illuminating the sample (14); a camera (19) for capturing at least one image (35) of the sample (14); and a computer (27) connectable to the camera (19) and configured to automatically mark image areas (39) of an image (35) captured by the camera (19) as colonies and to determine the number of image areas (39) automatically marked as colonies as the number of colonies of the sample (14), wherein the device (10) is designed in particular according to any one of claims 16 to 18,
it is characterized in that the preparation method is characterized in that,
the computer (27) is configured to perform automatic labeling by means of a trainable object recognition method that is trained using image areas (37) of the captured images (35) that are manually selected by means of the input device (29) and labeled as colonies.
20. A computer program product comprising a computer program which, when executed on the computer (27) of the apparatus according to any one of claims 16 to 19, performs the method according to any one of claims 1 to 15.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102020106819.0A DE102020106819A1 (en) | 2020-03-12 | 2020-03-12 | METHOD OF COUNTING MICROBIOLOGICAL COLONIES |
| DE102020106819.0 | 2020-03-12 | ||
| PCT/EP2021/050558 WO2021180376A1 (en) | 2020-03-12 | 2021-01-13 | Method for counting microbiological colonies |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115298321A true CN115298321A (en) | 2022-11-04 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180018735.5A Pending CN115298321A (en) | 2020-03-12 | 2021-01-13 | Method for counting microbial colonies |
Country Status (5)
| Country | Link |
|---|---|
| EP (1) | EP4103735A1 (en) |
| CN (1) | CN115298321A (en) |
| BR (1) | BR112022018048A2 (en) |
| DE (1) | DE102020106819A1 (en) |
| WO (1) | WO2021180376A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116205982A (en) * | 2023-04-28 | 2023-06-02 | 深圳零一生命科技有限责任公司 | Microorganism counting method, device, equipment and storage medium based on image analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4863932B2 (en) | 2007-06-04 | 2012-01-25 | 株式会社エヌテック | Counting the number of colonies |
| US9677108B2 (en) | 2012-12-20 | 2017-06-13 | 3M Innovative Properties Company | Method of differentiating microbial colonies in an image |
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2020
- 2020-03-12 DE DE102020106819.0A patent/DE102020106819A1/en active Pending
-
2021
- 2021-01-13 BR BR112022018048A patent/BR112022018048A2/en not_active Application Discontinuation
- 2021-01-13 EP EP21701414.1A patent/EP4103735A1/en not_active Withdrawn
- 2021-01-13 CN CN202180018735.5A patent/CN115298321A/en active Pending
- 2021-01-13 WO PCT/EP2021/050558 patent/WO2021180376A1/en unknown
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116205982A (en) * | 2023-04-28 | 2023-06-02 | 深圳零一生命科技有限责任公司 | Microorganism counting method, device, equipment and storage medium based on image analysis |
| CN116205982B (en) * | 2023-04-28 | 2023-06-30 | 深圳零一生命科技有限责任公司 | Microorganism counting method, device, equipment and storage medium based on image analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| BR112022018048A2 (en) | 2022-10-18 |
| DE102020106819A1 (en) | 2021-09-16 |
| WO2021180376A1 (en) | 2021-09-16 |
| EP4103735A1 (en) | 2022-12-21 |
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