Method of the study of microbes and installation for its implementation

 

The invention relates to biotechnology, relates to a method for the study of microbes, mainly in food products for contamination of pathogens and other microbes, detection and/or identification of bacteria and other microbes. The method involves obtaining images of the investigated medium containing microbes exposed to light, processing the dye before or after cultivation in a Petri dish. The resulting image is separated into three primary colors, calculate the chromatic histogram data, colorimetric characteristics and define the colors for each primary color. Compare the received data with previously accumulated data using a similar procedure of dividing the image into three primary colors, and highlight the characteristics that are specific for the identification of species of microbes. Then spend the forecasting of a condition of reproduction of the studied microbes after cultivating for a specified period of time, taking into account the actual status of the test microbes after cultivation of microbes within a specified time. Installation for implementing the method of the study of microbes includes a housing having the second table, mounted for rotation and is used for storing supplied through one of the Petri dishes in a vertical stack, the unloading mechanism Petri dishes, lighting devices and processing the dye environment, the device for receiving the image, the computer with the monitor and the feed mechanism specified number of Petri dishes in the cartridge. The invention improves the accuracy of the study by increasing the volume of additional accumulated specific data for comparing the reproduction of microbes, provides the ability to pre-identify the type of bacteria and predicts the growth rate of the microbes in a shorter time study. 2 S. and 4 C.p. f-crystals, 14 ill.

The scope of the invention

The present invention relates to a method for the study of microbes and installation for its implementation, that is, to the detection and/or identification of bacteria and other microbes.

Background of invention

In terms of food, including meat, seafood, such as fish, and the like, intended for delivery to the market, is normal to the material for such food was pre-processed in the given conditions nna whether it is contaminated with pathogenic bacteria and other microbes. In the commonly used method of detection of microbes contained in the food, the studied microbes collected from the sample and cultured in an incubator within the prescribed time so that it becomes possible visual measurement and detection of cultured microbes. However, to do this accurately requires a special technique in combination with a long experience.

The recently proposed method of using a computer. In this way the image of the studied environment, entered into the computer, translated into binary code to calculate the determinant level for the study. However, this method faces the problem that even small differences in angle and direction of light with respect to the environment can adversely affect the correct definition of the environment, as the image is transferred in binary code, when directly injected into the computer. As a consequence there is the spread of research results, thereby leading to the error.

Thus, it is very difficult to make an accurate study in the particular circumstances. Next, the conventional method has an additional problem, namely, that if prodolliet, the possible presence of microbes in food, their reproduction in the food), which in the future can be dangerous for people, most of these pathogens do not reveal their real form until, until a certain time. For this reason, it often happens that after delivery for sale is processed factory food pathogenic microbes multiply, and when using this food consumers suffering from food poisoning.

Further, conventional methods of studying microbes require a long time to get results. However, in recent times, having such advanced techniques of research as a way of direct observation in the microscope, the method of membrane staining, the method of electrical impedance method to fluorescent staining, the way fluorescent label, a way of measuring bioluminescence used to study microbes present in processed food, partially processed food, processed food, sometimes you have a quick study. However, even these improved methods of research have many new EMP is Leckie from complete perfection. In some ways that research can be identified by a specific microbe, but most of them identification of microbes is difficult.

In the document JP 09-187280 from 22.07.97 when describing the method of analysis of bacteria and device for analysis of bacteria indicated that “shall accurately count the number of bacterial colonies formed in culture layer after cultivation”, and said that the proposed “method of analysis of bacteria and device for analysis of bacteria, which reads the initial state of the cultural layer of the sample by scanning images after the formation of this layer by injecting a solution agroterra culture and trial and curing of culture in a Petri dish and storing the image data in the storage device, the read status after cultivation, which is the result of cultivation, by scanning images after cultivation in a Petri dish in the unit of cultivation, and storing the image data, and analyzes the state of the bacteria by comparing the image data in the above-mentioned condition and the image data after cultivation”.

Here the comparison object is image data of isxodyawaya, with clearly visible bacteria (requiring long-term cultivation period of 24, 48, etc. hours), without identification of the bacteria, and this is clearly not a short period of time compared to 5-6 hours, as claimed in the present invention.

Regarding processing method, inherent in the aforementioned method of analysis, the following should be noted.

1) Initial state read before cultivation with the help of a scanner of the image (this is done to detect amounts of impurities, foreign matter, and not to detect the presence of bacteria).

2) the Image of this initial state, obtained by the scanner, remember in memory.

3) the State resulting after cultivation, scan (this operation usually requires a cultivation period of 24-48 hours and inefficient).

4) the Above-mentioned image data of the original state and the data after culturing compare and calculate the amount of impurities and the number of colonies of bacteria.

In other words, in the document we are talking about the method and device for the analysis of impurities and the number of colonies of bacteria by memorizing the number of impurities in the initial state in memory and subtracting it from the image of th the Fashion identification of the spectrum”.

This invention relates to a method of classification of the spectrum and to use this classification to identify unknown in their range. More specifically, this invention relates to a method of classifying samples of known microorganisms of the spectral paintings, obtained on the basis of their DNA, and to use this classification to identify unknown samples of microorganisms.

Provides spectral analysis of paintings derived from DNA sequences, that is sequences of DNA bases, and identify them with the help of data processing of images obtained from the analysis results.

Therefore, the microorganisms identified by optical spectra, and even if the requested identification of bacteria, it is still a way that is completely different from the method claimed according to the present invention.

Thus, the present invention is a method and apparatus to study the environment, such as microbes, in which images of the environment, cultivated for a short time (about 5 to 6 hours) is divided, for example, three primary colors, and then calculate the histogram, the colorimetric characteristics and colour so that the mouth of tipichnye for each microbe, then the data is pre-calculated using the same procedure as above, and stored, viewed and compared to identify, and then predict the state of the reproduction of these microbes after the passage of time (for example, 24 hours, 48 hours), normally required for the cultivation of these microbes, using the efficiency of growth, the condition of the reproduction of microbes after passing a specified time can be easily installed in the future, even for a short time.

Another objective of the present invention is a method and apparatus to study the environment, such as microbes, and the degree of accuracy of identification of microbes increases, the image of such microbes accurately identify and photograph and installation for the study of the environment is placed in the housing as a single group, thereby it is possible to carry out automatically determining not only the environment and the accumulation of research results, but also can reduce the amount of bacteria in the environment and is easy to sterilize bacteria.

The invention

According to the present invention offers a method for studying microbes, providing images of the investigated medium containing microstella received image into three primary colors, calculation of chromatic histogram data colorimetric characteristics and determining the color shade for each primary color, comparing the received data with previously accumulated data using a similar procedure of dividing the image into three primary colors, and the extraction of features that are specific for the identification of species of microbes, and then forecast the state of reproduction of the studied microbes after cultivating for a specified time, and the prediction of microbial growth exercise taking into account the actual status of the studied microbes after cultivation of microbes within a specified time.

According to another aspect of the present invention proposes an installation for implementing the method of the study of microbes, comprising a housing having an inlet for loading Petri dishes using the loading mechanism located in the housing round table mounted for rotation and is used for storing supplied through one of the Petri dishes in a vertical stack, the unloading mechanism Petri dishes, lighting devices and processing the dye environment, the device for receiving the image, the computer Moni is at least one light source.

In addition, the installation is equipped with a device for sterilization of the investigated medium, pilot lights, call to indicate that you have exceeded the specified level of reproduction of certain microbes.

In addition, the housing is placed in the chamber containing the device is arranged to measure the temperature, humidity and dust in the space specified camera and with the capability to provide the received data to the specified computer to control the parameters in the specified namespace.

Brief description of drawings

Fig.1 is a block diagram of the setup and how the study of microbes according to the present invention;

Fig.2 is a block diagram of the selection procedure, selection and prediction of microbial growth according to the present invention;

Fig.3 is a General view of the main part of the installation according to the present invention and its component parts;

Fig.4 is a view explaining a sequence of transformations of the image of the investigated medium according to the present invention;

Fig.5 is a view explaining the condition for separation and measurement of the contour of the colony in the environment according to the present invention;

Fig.7 is a view of the design of the facility for the study of microbes according to the present invention;

Fig.8 is a General external view of one of the incarnations of the installation for the study of microbes according to the present invention;

Fig.9 is a view of the main part of the internal design of the facility for the study of microbes according to the present invention;

Fig.10 is a flowchart illustrating the steps of the method, starting from the boot environment and to discharge environment, according to the present invention;

Fig.11 is a view illustrating an image obtained colonies in the environment and lighting cracks;

Fig.12 is a view showing the position of the light source and receiving light of the environment and the control device according to the present invention;

Fig.13 is a General view of the photographing device to the environment according to the present invention;

Fig.14 is a block diagram of the method from the start of the operation of obtaining images of the environment and to the end according to the present invention.

Best mode for carrying out the present invention

The present invention will be next described is of microbes according to the present invention. In Fig.1 stage (1)-(12) explain the construction and operation of the device for culturing (thermostat) (A1). Design and operation of the device for culturing next will be described sequentially. At the stage (1) culture medium (agar) inoculant bacteria culture medium inoculated with bacteria, hereafter referred to as “environment”). If this environment is in the liquefied state, to collect bacteria use the filter. The environment can take many other forms. The environment is placed in a Cup (1A) Petri, and then placed in a thermostat (A1). At stage (2) establish the cultivation temperature at the required level by the corresponding operations on the operation panel of thermostat (A1). At stage (3) set the time of cultivation. Also in this case, the required time set by corresponding operations on the operating panel. At stage (4) operating panel of thermostat (A1works by implementing automatic mode (it is in the work connected with the end equipment (B1and the processor (C1), as described below).

Then, at stage (5), automatic mode inform the terminal equipment (B1). Manual mode can work 8 hours. At stage (6) verify the installation time of cultivation determine the setting time of cultivation in automatic mode at the stage (3). At stage (7) check the temperature settings determine whether the temperature setting of the temperature of the cultivation stage (2). When adjusting the temperature in stage (8), if the temperature is not in the setting range temperature control to prevent overheating. If there is a completion of the cultivation stage (9), the completion of cultivation inform as terminal equipment (B1) and the processor (C1). At the stage (10) determine whether there is a request for filing containing medium in Petri dishes (1A), made the ultimate equipment (B1). If there is no containing medium in Petri dishes (stage 11), about the absence of a containing medium in Petri dishes (1A) inform the terminal equipment (B1and automatic mode stops. At the stage of (12) reads the bar code containing medium in Petri dishes containing medium in Petri dishes (1A) serves in the terminal equipment (B1).

Stage (I)-(X) demonstrate the design and operation of terminal equipment (B1). Its design and operation will be described next. When nestrategicheskih mode (at work it connects to thermostat (A1and the processor (C1as described hereinafter). At stage (II) for automatic mode is reported as thermostat (A1) and the processor (C1). When information regarding the completion of the cultivation stage (III) the terminal equipment (B1) goes into standby mode until then, until the completion signal from cultivation thermostat (A1). At stage (IV) a request for a feed containing medium in Petri dishes send thermostat (A1). When defining a bar code containing medium in Petri dishes at stage (V) determine whether containing environment Cup (1A) Petri in a given position and read whether the bar code. On stage (VI) remove the top cover containing environment Cup (1A) Petri. When defining a given position containing medium in Petri dishes on stage (VII) determine whether containing environment Cup (1A) Petri at the specified position in the destination equipment (B1). When the data transmission stage (VIII) determine, is it possible in normal conditions, the image of the environment that is installed in the specified position or not. During unloading containing medium in Petri dishes on stage (IX) containing a medium Cup (1A) Petri unload or warehoused outside the terminal equipment (B1). When oprepare from thermostat (A1), or not, and if the result of determination is positive, the processor (C1) signal shutdown.

Stage [1]-[5] demonstrate the design and operation of the processor (C1), which will be described later. On stage [1] specify the automatic mode. Operating panel processor (C1works by implementing automatic operation mode (when the work is connected with thermostat (A1and the processor (C1as described hereinafter). Stage [2] demonstrates the automatic determination of the status of each device. Here determine if they are configured thermostat (A1) and the terminal equipment (B1) in auto mode or not. Stage [3] shows the receive data. Here, the processor (C1) takes images of the environment, transmitted from the terminal equipment (B1), and stores them internally. If accumulation occurs under normal conditions, the normal signal reception goes to the end-user equipment (B1). Stage [4] shows the accumulation of data, and stage [5] shows the signal reception end of reception data.

Here the data about the image of the environment passed to receive data at the stage [5] processor (C1from data on stage (VI is expressed in three bytes, and is divided by logical operation of each byte. Then, by computing a histogram of color shade and colorimetric characteristics for each set of selected data highlight the characteristics of microbes. Symptoms appear in the form factor. Then, by searching in a pre-prepared database (data obtained by analyzing and organizing the information collected) identify the type of bacteria in the environment. Then based on the search of previously accumulated databases forecasts growth of bacteria. Thus, cultivation, measurement type and number of colonies of microbes can be done in a short time.

The processing sequence in the computer, the previously discussed will now be described in more detail. On the block diagram in Fig.2 after the start of the image with the appropriate color, enter into the computer at the stage (a) (this procedure will be described in more detail later), and the image thus obtained in the computer at the stage (b), is divided, for example, three primary colors, red R, green G and blue (blue) C. Then, at the stage (C), the histogram of each primary color calculate and display on the distribution density of 256 kinds of colors and on stage (d) calculate the colour and colorimetric characteristics is compared with the base (D) data in order to establish the type of microbes. That is, new data obtained from the processed image, compared with the base (D) data (as an example, the database ID, you can cause bacterial species (group/individual, for example coliform bacilli), the coefficient sign (<is histogram> distribution of R, G, B, N, the distribution of S <value tint and colorimetric characteristics> obtained by the same procedure as above, and previously introduced), to select the characteristics of bacteria thereby to determine the species of bacteria.

Then, at stage (f) from your reading of such data highlight the contour of the colony. At stage (g) predict the growth of the colony, and on stage (h) predict the number of colonies of bacteria. Based on the thus obtained data highlight the contour of the colony, and the degree ofgrowth (as described later) is calculated based on the distances between the respective circuits and the space colonies in the order of receipt of the forecast, for example, 24 hours, 48 hours, based on the degree ofgrowth thus obtained. This procedure will be described in more detail with reference to Fig.3(a)-3(b), 4(a)-4(d) and 5(a)-5(d). First will be described the image of Fig.3(a) use a digital video camera (K) to obtain the image (Q’) of the medium (Q) (Fig.4), cultivated within the specified time, the computer (PC).

In Fig.3(b) shows the device according to the invention and its component parts, consisting of the imaging unit, and an internal computer that is disclosed in the scheme. In this case, the light-emitting diode (LED) white color is used as source (A) light and digital camera To the charge-coupled devices (CCD) is used as a device forming an image and the image itself is treated, for example, in accordance with the standard red-green-blue (256 tones). In addition to the mentioned digital camera (To) you can use the sensor lines, the optical filter and the multiple light sources. Apart from the mentioned source (O) light can be used LEDs orange and other colors, and instead of the Sid can also use the lamp (e.g., halogen lamp). First of all, the image is obtained without establishing in the desired position, containing the environment (Q) Petri dishes, and, although on the periphery of the image appear “heterogeneity”, such as dimming, on the basis of the image data to get accurate value. Furthermore, since the environment (Q) appear in various colors and shadows depending on t. In addition, the value that is multiplied due to the mentioned “inhomogeneities”, set in advance by the transmission coefficient, reflection coefficient or really saved data.

That is, at the stage where the image (Q’) is separated into three primary colors, as in stage (b), is shown in Fig.2, the image (Q’) of the environment expressed in three bytes of R, G and b and store in the memory of the computer (PC). This image is expressed in the form of a set of values of the image (color image: the image, where each point (pixel) is not only grades, but also in color) and is expressed in three primary colors (base value expressions for colors), using the following equations to calculate the histogram (that is, gradation, that is, the density is calculated for each primary color).

where N represents the number of brightness, FR represents the brightness in detektiruya spot,represents the brightness in the target spot, and

denotes a logical product.

In this way the separation of the three primary colors R, G and b, for example, impose on each other, creating an expression for the color. Here the data for the color from the arithmetic calculation for each primary color and produce an image for each primary color (Fig.4(b)). Then, at the stage of computing the histograms for each primary color at the stage (C) Fig.2, the density distribution is calculated for each of R, G, In the colours as shown in the graph of Fig.4(C). Then in Fig.4(a) colorimetric characteristics, and hue is calculated in accordance with the following equations,

S=Sr+Sg+Sb

Colorimetric characterization of S and hue H is calculated using the above equations. In the above equations Sris an element of the color tint R, Sgis an element of the color G, and Sbis an element of the color tint Century (is the specific coefficient of discoloration of the image.

At stage (e) allocation of signs of bacteria in Fig.2 by comparison with data obtained previously using the procedure discussed above, allocate those bacteria that have characteristics in common with the image (Q) of the environment (Q). Then, when the path selection colony on the stage (f) in Fig.2 highlight the contour on the basis of the obtained data. As shown in Fig.5(a), distance (x1) and (Y1) between circuits 1 and 2 img.russianpatents.com/chr/945.gif" border="0">growth. In Fig.5(a) and 5(b) original contours 1 and 2 bacteria converts to paths 1' 2' using the image, developing the result of the calculation by the following equations:

E=x1(x)

F=y1(y)

In the above equationsxis a component of the degree of growth in the direction of the x axisyis a component of the degree of growth in the direction of the y axis, E is the rate of growth in the direction of the axis x, and F represents the degree of growth in the direction of the y axis. As can be seen from Fig.5(b), the original contours 1 and 2 increased in size and merge with each other, becoming one circuit. Then count the number of colonies based on the data obtained by this conversion of the image that we have just discussed. As is shown in Fig.5(C), the labeling of produce in respect of contours by scanning in the directions of axes x, y. Then they are scanned in the direction of the axis y, x (scanning direction is changed to set the number (in the illustrated example, the circuits 1 and 2 joined together in one circuit 1&Le total time of cultivation (from 24 to 48 hours) forecast, based on the degree of growth and the like of the accumulated database. More specifically, the process of growth of colonies predict on the basis of the database, and then predict the number of colonies on the basis of both density (described later) of the neighboring colonies of new data, and the above degree of growth. Thus, receive information about the type of bacteria and the number of colonies. Simultaneously or at separate dimension, regardless of the number of colonies counted as stated above, identify the type of bacteria.

Fig.6(a) depicts the surface (culture medium) medium (Qo), where bacteria, even if they are present, yet invisible. Fig.6(b) depicts the surface under cultivation of bacteria, where the colony (C1) bacteria can be seen. Fig.6 (C) shows the surface after passing through, for example, from 4 to 6 hours. Time of cultivation continues up to this point in time. On this surface, you can see not only the colony (c11as a result of the growth of the colony (C1), but there are also changes color region (W) next door. Thus, the image of (Q’) environment (Qo) get in the same way as described above, the type of bacteria identified in comparison with the base (D) d is the sing colorimetric characteristics, color hue, color density, the degree of growth factor characteristic and the like for the area (W) in the neighborhood of the colony (c11). Fig.6(a) depicts the surface during the growth of the colonies, where you can see a colony (c12as a result of the growth of the colony (c11) and the emergence of a new colony (C13). In Fig.6(e) of the colony (c12) and (C13continue to grow and, in addition, there is a new colony (c14). Fig.6(f) depicts the surface, for example, after the passage of 24 hours, where the above colonies continue to grow and there are many new colonies.

Will now be described by way of the study of microbes, representing a further development of the above-described method according to the present invention. An image of the environment obtained from a sample collected from a substance, or of a rigid body with germs, or the above environment, which was processed for light emission, the processing of dye or something like in accordance with necessity before or after cultivation, divided into three primary colors, and then compute the chromatic information of the histogram, the colorimetric characteristics and colour for each primary color and poluchilos generalized information about the microbes with the first data about microbes which are pre-assembled in the same way as above, so emit signs specific to microbes to identify the type of microbes, and then predict the condition and reproduction of microbes after passing a specified time, thereby the state of the reproduction of microbes after passing a specified time interval required for the cultivation of microbes in the environment can be determined in advance.

Examples of methods that can be included in the second data, such as the above summarized information about microbes (PCR: random PCR (RAPD), gel-pulse field electrophoresis (PFGE) and the like, include a typical method of cultivation, oxygen antibodies (EIA) method with immune-magnetic fields and the like. Use all or some of the data obtained by the expression characteristics of microbes obtained in the form of numbers. Thus, according to the present invention integrated data obtained by combining the second data from the generalized information about microbes, for example, with the first data about the microbes that pre-accumulate using the same procedure as described above, are used and compared with the new environment. That is, when the result of comparison of the first data is by the bacteria of the first data, identify specific data and at the same time produce summary information related thereto.

Therefore, bacteria can be accurately identified based on generalized information, thereby further increasing the accuracy of identifying the type of bacteria.

Fig.7 depicts the location of the devices, components installation (J) to study according to one of embodiments of the present invention, such as a device for culturing (thermostat is connected by the automatic reloading mechanism) (A2), the device for acquiring images (B2), the node with arithmetic processor (C2) (the computer), the pre-reset (Du), a section of the power source and the control node (S). In Fig.8 shows a General view outside the unit; (J) for research, in which the components of the device of Fig.7 is placed in a single group inside the housing (H). Case (H) installation (J) to study in Fig.8 has a hole (h) upload, formed on the left side of its front surface. Through this hole (h) load Cup (1A) Petri, containing, each, environment (x), such as culture medium, inoculated with bacteria, download one. The case also had the right pane, next door, and the like can be observed on the screen (2A) of the monitor. Case (H) is equipped on the right side of the lateral surface of the handle (3 a) for the extraction cartridge (3A) (as described below) to accommodate containing environment cups (1A) Petri, are stacked in a vertical stack to 20 pieces each, and come in four rows. Since the formation of colonies increases when the environment (x) applied magnetic field and electric field, the setup for studying in Fig.8, having means to attach the device components can further reduce the time of cultivation.

Fig.9(a) is a top view depicting the internal structure of the body (H) in Fig.8. Cup (1A) Petri containing medium (x) and loaded one by one through the hole (h) load, with each identification mark such as a bar code or something like that, and they piled vertically in a stack of up to 20 pieces each with the formation of such a configuration that four sets containing environment cups (1A) Petri arranged along the inner periphery of the table (4A) of the device (A2for cultivation. Thus, in the device (A2for cultivation can be placed 80 containing environment cups (1A) Petri. Environment (x) is cultivated within a specified period of time (6 hours, e.g. zavlekayut one under the building (N) using (5A) unloading containing environment Petri dishes (Fig.7). After the cover each Cup (1A) Petri remove, environment (x) is transferred into the device to obtain an image (B2) (digital video camera) for photographing. Then, the data of photographing injected into the node of the arithmetic processor (C2). After photographing containing environment Cup (1A) Petri lid and then transferred into the cassette (3A) located at the rear side, by means of a manipulator (6A) transfer containing environment of the Petri dish and using a Shuttle mechanism (7a). In the cassette (3A) containing a medium Cup (1A) Petri piled in stacks of up to 20 pieces each, and come in four rows to accumulate. They are then sterilized using pre-unit (Du) for unloading (sterilizing lamp or something like that). After that, the tape (3A) is removed from the housing (H).

An interesting alternative would be to instead of using pre-unit (Du) for unloading inside the housing (H) containing a medium Cup (1A) Petri-sterilized after it has been unloaded from the housing (H). In Fig.9(b) shows the front view of the internal space of Fig.9(a), but the part with the node arithmetic processor (C2) is missing. Fig.9(C) is a side view, the same way the image is the device for sterilization, such as, for example, microwave or something like that. In the present embodiment use a culture medium inoculated with bacteria. It should be noted, however, that the present invention is in no way limited to this embodiment and that other environments can be used selectively depending on the type and form of the environment (x). It can be constructed in such a manner that a warning light, bell, or something like that was put in action when detected that the level of specific bacteria exceeds a certain level. It is also accepted that the device for measuring the status of temperature, humidity, dust and the like were separately installed in the camera or in any other place of the body (H) that the information received from him, was injected into the node of the arithmetic processor (C2to control the environmental parameters.

Fig.10 is a flowchart explaining the procedure, including the boot stage containing environment Cup (1A) Petri, accumulation containing environment cups (1A) Petri device (A2for cultivation, transfer them detect the completion of the cultivation, the discharge of such cups (1A) Petri, transfer environment in closing the cover after as the image is taken, accumulation and transfer in the preliminary unit (Du) for loading, unloading and shutdown.

Now will be described the mechanism of light used for photographing environment (x). You want the environment (x) was brightly lit. To achieve this goal is common to the environment was illuminated from above. This method of lighting is effective when the environment is fine. But because the light tends to pass through it, sometimes it is difficult to obtain a detailed image. According to the present invention there is the possibility of creating a mechanism lighting, modify, when necessary, the light intensity on the upper and lower surfaces. This mechanism of light projecting illuminating light in the direction of the environment (x) by placing it in the “sandwich” between other environments. The illuminating device has a feedback function allows you to automatically set the light intensity depending on the environment (x). Using this arrangement reflected light and transmitted light is coming on Wednesday (x) in such a way that can be photographed, the image of each part.

This procedure will be described in more detail with reference to Fig.11(a) and 11(b). Fig.11(a) until the colony (c12). It is assumed that the illuminating light is projected from one side only. Although the contour m colonies (c11is to some extent visible (detektivami), in some cases it is necessary to select the light intensity to obtain a more accurate contour m. Is more difficult to obtain clear images of the cracks in the colony (C12with the same light intensity as the light intensity detection circuit m. Next, the procedure for determining the contour m is the necessary increase in light intensity. However, if the light intensity increases, the determination of crack n is in some cases difficult. According to the present invention by transmitting illuminating light from the bottom surface can be obtained more detailed circuit m’, as shown in Fig.5(b). Also by changing the light intensity of the lighting device depending on the environment (x) can be obtained images of smaller pieces of crack n’.

In Fig.12 shows how two sources (Iabout), (IIaboutlight and two light receiving portion (I’o), (II’o) are located in relation to the environment (x) and the mutual positional relationship of the management node (the Kim way in the present embodiment uses two types of light sources. From two sources (Iabout), (IIaboutlight source (Iaboutlight serves as a reference light source, and another source (IIaboutlight emits light in all colors of the visible spectrum. Source (Iaboutlight is thus to surround Wednesday (x). When working this source (Iaboutlight projects the reference light, the light reflected by the medium (x), will be detected by light receiving portion (I’aboutand a signal is sent to the control node (Cr). Managing node (r) compares the received signal with the projection signal and sends the optimal signal source (Iabout) world. The same operation is made also in relation to another source (IIabout) world. Thus, the characteristics of the environment (x) more accurately distinguish by using two kinds of light sources. The number of such light sources can be increased. It is also effective that the light intensity can be changed structurally.

Digital camcorder has the ability to move in a small range. In Fig.13 shows how a moving image before and after the move, digital video camera (K). That is, the managing Y-axis, and, as shown in Fig.13(b), image (Q’1before moving, and (Q’2after moving to overlap, the result is the interpolation operation for forming the image (Q), so the decomposition is improved. The image of N obtained in this way is obtained by dividing the image N0before you move plus the image of N1after moving the two. The same result can also be obtained by using, where necessary, of mechanism for moving the medium (x) without moving digital video camera (K).

Fig.14 is a block diagram depicting the entire procedure as a whole, including the stage of obtaining the image (Q’1), move along the axes X and Y, image acquisition (’2), image acquisition (Q’) by interpolation of digital processing and completion.

It is also accepted that light-emitting material by irradiation of a light beam, such as beam of light from the range of the near ultraviolet light, mingled with the material forming the Petri dish for the maintenance of the environment, so that the image could be read by the emission of fluorescent light. In this way, the accuracy may be increased.

Industrial is quick to breed bacteria, if the environment is defined poisonous bacteria. Proliferating bacteria can cause food poisoning. However, the study of microbes usually requires a certain amount of time depending on the type of bacteria. The time required also varies even for the same bacterial species depending on environmental conditions. The present invention is the ability to pre-identify the type of bacteria and the forecast growth rate of bacteria in the environment for a short time. According to the present invention, the status identification of bacteria after passing a specified time can be known in advance for a short time.

In the present invention, the image of bacteria cultivated in a short time (about 5 to 6 hours) is divided into three primary colors, and then calculate the histogram, colorimetric characterization and shade of color for each color to establish the growth factor for the prediction of growth of colonies of bacteria and coefficient characteristic to define the characteristics that are specific for each microbe. Then it is compared with the data previously calculated in the same manner as described above, and accumulate. According the atom identify type of bacteria. Then, using the growth factor and the like, predict the state of the bacteria after the passage of time (24, 48 hours, for example), usually required for cultivation of bacteria, thereby the state of the bacteria after passing a specified time can easily become famous in a short time. The present invention provides a method and installation for determining the microbes with high accuracy. Also according to the present invention the device for fine photography microbes and research environment place as one group in the body, so that the environment can determine automatically and the results of the study can be effectively accumulated. In addition, the environment can be easily sterilized. The installation of such a design can be installed in various inspecting organizations and in other places. With this setup the investigated environment can be determined automatically without any information about the environment and accumulate results for future surveys. Further, by sterilization environment given the way the environment can be safely reset. Thus, any person can accurately investigate the food without the need for specialists.

That is, sostoyanie microbial growth.

According to the present invention the real state of the microbes can be explored only by cultivating them within a short time (usually took about 24 or 48 hours, as indicated above). By gathering and comparing data on the microbial species of microbes can be accurately determined by identifying microbes and forecasting reproduction. Moreover, by increasing the amount of additional data storage for comparing the accuracy of the research can be further enhanced.

The present invention may be useful for improving the reliability of food, and also be extremely useful to meet the requirements of the law PL, HACCP (Hazard Analysis Critical Control Point) or GMP (Good Manufacturing Practice), which have recently become widely known. In addition, the present invention can be used not only in food, including drinking water, but also in the field of clinical medicine, health medicine, agriculture, environment, sea water, wastewater and other waters, forestry, air pollution, and many others that can spread germs.

Claims

1. Method study mitiu lighting, processing dye before or after cultivation in a Petri dish, dividing the image into three primary colors, the calculation of chromatic histogram data colorimetric characteristics and determining the color shade for each primary color, comparing the received data with previously accumulated data using a similar procedure of dividing the image into three primary colors and the extraction of features that are specific for the identification of species of microbes, and then forecast the state of reproduction of the studied microbes after cultivating for a specified time, and the prediction of microbial growth exercise taking into account the actual status of the studied microbes after cultivation of microbes within a specified time.

2. Installation for implementing the method of the study of microbes, comprising a housing having an inlet for loading Petri dishes using the loading mechanism located in the housing round table mounted for rotation and is used for storing supplied through one of the Petri dishes in a vertical stack, the unloading mechanism Petri dishes, lighting devices and processing the dye with the EC Petri in the cassette.

3. Installation under item 2, characterized in that the lighting device includes at least one light source.

4. Installation under item 2, characterized in that it is provided with a device for sterilization of the investigated medium.

5. Installation under item 2, characterized in that it is equipped with a signal lamp, a call to indicate that you have exceeded the specified level of reproduction of certain microbes.

6. Installation under item 2, characterized in that the housing is placed in a chamber containing a device designed to measure temperature, humidity and dust in the space specified camera and with the capability to provide the received data to the specified computer to control the parameters in the specified namespace.



 

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