WO2014006964A1 - 情報処理装置、情報処理方法、プログラム及び顕微鏡システム - Google Patents
情報処理装置、情報処理方法、プログラム及び顕微鏡システム Download PDFInfo
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- WO2014006964A1 WO2014006964A1 PCT/JP2013/062407 JP2013062407W WO2014006964A1 WO 2014006964 A1 WO2014006964 A1 WO 2014006964A1 JP 2013062407 W JP2013062407 W JP 2013062407W WO 2014006964 A1 WO2014006964 A1 WO 2014006964A1
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- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B21/00—Microscopes
- G02B21/36—Microscopes arranged for photographic purposes or projection purposes or digital imaging or video purposes including associated control and data processing arrangements
- G02B21/365—Control or image processing arrangements for digital or video microscopes
- G02B21/367—Control or image processing arrangements for digital or video microscopes providing an output produced by processing a plurality of individual source images, e.g. image tiling, montage, composite images, depth sectioning, image comparison
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
Definitions
- the present technology relates to an information processing apparatus that processes image information picked up by a microscope, an information processing method, a program thereof, and a microscope system including the information processing apparatus. More specifically, the present invention relates to a technique for synthesizing a wide-field microscope image by dividing and imaging an observation target region and joining a plurality of obtained partial images.
- a technique for dividing and observing the observation target area with a digital microscope and joining the obtained partial images in order to obtain a microscope image with a wide field of view and high magnification Is used.
- the virtual microscope system using this technology allows the user to display an arbitrary position at an arbitrary magnification with respect to the obtained microscope observation image, or to display it at a remote location via a network. Therefore, it is attracting particular attention for use in tissue / cell examination in pathological diagnosis.
- Patent Document 1 proposes a microscope system in which a processing device that generates partial images and a processing device that performs splicing processing are separately provided for the purpose of reducing processing time.
- Patent Document 2 discloses a microscope that detects a positional shift when capturing a partial image and corrects a joining position of the partial images based on the result in order to prevent an error caused by a positional shift during scanning. A device has been proposed.
- the matching is performed based on the one determined to have a high correlation in the matching process.
- the connection between those having a high correlation is not necessarily an accurate connection. Matching is not always possible. Specifically, when a foreign image other than the sample, such as dust, is included in the partial image, it is determined that the correlation is higher than that of the sample, and erroneous joining may be performed. This problem is likely to occur particularly when the edge of the cover glass is present on the sample.
- the present disclosure provides an information processing apparatus capable of combining images with high accuracy and synthesizing a wide-field-of-view and high-resolution microscope observation image even when a foreign object image exists in a plurality of digital images.
- the main object is to provide an information processing method, a program, and a microscope system.
- An information processing apparatus includes an image acquisition unit that acquires a first partial image and a second partial image in which a part of an observation target region is captured, the first partial image, and the second part.
- a joint position adjusting unit that adjusts a joint position with an image, and when the foreign substance is present in the first partial image, the image is present as the second partial image.
- the partial image to be acquired is acquired.
- processing for preferentially joining the partial image of the foreign matter with the partial image of the sample is performed even if the foreign matter is present in the observation target region. Thereby, since the shift
- the information processing apparatus may include an imaging order generation unit that creates an imaging order of the partial images based on an entire image obtained by imaging the entire observation target region at a lower magnification than the partial image.
- the imaging sequence generation unit has a sample as a second region to be imaged next to the first region The region may be selected, and the image acquisition unit may acquire the first partial image and the second partial image in accordance with the imaging order created by the imaging order generation unit.
- the image acquisition unit acquires the second partial image to be connected to the first partial image from a plurality of partial images in which a part of the observation target region is captured, and the connection position adjustment unit The joining position of the second partial image may be adjusted with respect to the first partial image.
- the image acquisition unit may acquire a partial image in which no foreign matter exists as the second partial image.
- the image acquisition unit may include a foreign object as the second partial image when there is no partial image in which a sample exists in a partial image obtained by imaging an area adjacent to the imaging area of the first partial image.
- An existing partial image may be acquired.
- the image acquisition unit may exclude a partial image including a foreign object connected to a partial image including a foreign object from the acquisition target when acquiring the second partial image.
- the information processing apparatus may be provided with an image analysis unit that determines the presence or absence of foreign matter and a sample with respect to the partial image. Further, the image analysis unit can determine the presence / absence of a foreign substance and a sample for each region of the whole image, and can determine a corresponding partial image based on the result. In that case, the image analysis unit may determine the presence / absence of a foreign object and a sample by using two types of whole images having the same field of view and different imaging conditions. In addition, the image analysis unit may calculate a first likelihood indicating the degree of presence of the sample for each region of the entire image and a second likelihood for calculating the presence probability of the foreign matter.
- the image analysis unit can create a presence map indicating presence information of the sample and the foreign matter based on the first likelihood and the second likelihood.
- the information processing apparatus may be provided with an image composition unit that joins the first partial image and the second partial image.
- the image composition unit connects the second partial image to the first partial image based on position information at the time of capturing the acquired partial image. You may combine them.
- the image acquisition unit acquires the second partial image, the partial images connected based on the position information may be excluded from acquisition targets.
- the image acquisition unit acquires the first partial image and the second partial image obtained by capturing a part of the observation target region by the image acquisition unit, and the connection position adjustment unit.
- a joining position adjusting step for adjusting a joining position between the first partial image and the second partial image, and in the image obtaining step, when there is a foreign object in the first partial image Acquires a partial image in which a sample exists as the second partial image.
- the program according to the present disclosure includes an image acquisition function for acquiring the first partial image and the second partial image so that a partial image in which a sample is present is acquired for a partial image in which foreign matter is present;
- the information processing apparatus is caused to execute a joining position adjustment function for adjusting a joining position between the first partial image and the second partial image.
- a microscope system includes at least a whole image imaging unit that images the entire observation target region, and a partial image imaging unit that images a part of the observation target region at a higher magnification than the whole image;
- An information processing device that controls the microscope device and processes each image captured by the microscope device, wherein the information processing device includes a first image in which a part of the observation target region is imaged.
- An image acquisition unit that acquires a partial image and a second partial image, and a connection position adjustment unit that adjusts a connection position between the first partial image and the second partial image are provided, The said image acquisition part acquires the partial image in which a sample exists as said 2nd partial image, when a foreign material exists in a said 1st partial image.
- FIG. 10 is a diagram showing an outline of a presence map creation process in an image analysis unit 232; FIG.
- FIG. 10 is a diagram showing an outline of a presence map creation process in an image analysis unit 232; It is a flowchart figure which shows the flow which acquires the image connected with a partial image in the image acquisition part 233.
- FIG. FIG. 10 is a diagram showing an outline of a presence map creation process in an image analysis unit 232; It is a figure which shows the outline
- FIG. 3 is a sequence diagram illustrating a process and a data flow in the information processing apparatus 2.
- FIG. 10 is a flowchart showing a flow of imaging sequence creation processing by the information processing apparatus 2.
- FIG. 10 is a flowchart illustrating a flow of determining an imaging order in an imaging order generation unit 235. It is a figure which shows the imaging sequence produced
- FIG. 10 is a flowchart illustrating an overview of the overall operation of a microscope system according to a modification of the second embodiment of the present disclosure.
- First embodiment an example of a system that preferentially joins an image in which foreign matter exists with an image in which a sample exists
- Second Embodiment Example of System for Creating Imaging Sequence
- FIG. 1 is a diagram showing an outline of the microscope system of the present embodiment.
- the microscope system of the present embodiment is to image and observe various prepared specimens at a high magnification, and includes at least a digital microscope 1 and an information processing device 2 as shown in FIG.
- the information processing apparatus 2 includes an image acquisition unit 233 that acquires a first partial image and a second partial image obtained by capturing a part of the observation target region, a first partial image, and a second partial image.
- the connection position adjustment part 234 which adjusts the connection position of at least is provided. Then, when there is a foreign object in the first partial image, the image acquisition unit 233 preferentially acquires the partial image in which the sample exists as the second partial image.
- the server 3 and / or the image display device 4 may be provided in the microscope system of the present embodiment.
- the information processing device 2, the server 3, and the image display device 4 can be directly connected, but can also be connected to each other via the network 5 so that they can communicate with each other.
- the digital microscope 1 includes a light source, an objective lens, an imaging device, a stage, and the like.
- the prepared specimen placed on the stage is irradiated with predetermined illumination light, and the light transmitted through the observation object or the observation object Imaging light emitted from an object.
- FIG. 2 is a block diagram illustrating a configuration example of the digital microscope 1. As shown in FIG. 2, the digital microscope 1 provided in the microscope system of the present embodiment is provided with an entire image capturing unit 11 and a partial image capturing unit 12.
- the whole image capturing unit 11 includes a light source, a low-magnification objective lens, a low-resolution image sensor, and the like, and captures the entire observation target region of the slide specimen placed on the stage at a low magnification and a low resolution. To do. At this time, the entire image capturing unit 11 captures two types of entire images with different imaging conditions in the same field of view. In that case, for example, the entire image capturing unit 11 is provided with two types of light sources, a light source that emits bright-field illumination light and a light source that emits dark-field illumination light.
- the overall image capturing unit 11 may be provided with an illumination control unit that determines which mode to acquire a bright-field image or a mode to acquire a dark-field image is executed. The illumination control unit can set a parameter corresponding to each mode for the light source, and irradiate illumination light suitable for each mode from the light source.
- the entire image imaging unit 11 can irradiate the preparation with light from the lower side of the preparation on which the sample is placed (on the side opposite to the imaging device with respect to the preparation). Thereby, about the part which permeate
- the whole image capturing unit 11 when dark field illumination is used, for example, the preparation is illuminated from above. At this time, it is possible to acquire information on a portion where light is scattered in the preparation from the image captured by the image sensor. Light scattering occurs, for example, at the edge of the cover glass or the like, so that the edge of the cover glass placed so as to cover the sample on the slide appears white in the dark field image. Thereby, in the whole image imaging part 11, the image which made the edge part of a cover glass stand out can be acquired. As described above, the whole image capturing unit 11 can acquire two kinds of whole images, that is, a bright field image and a dark field image.
- the partial image capturing unit 12 includes a light source, an objective lens having a higher magnification than that of the entire image capturing unit 11, a high-resolution image sensor, and the like.
- the partial image capturing unit 12 is an observation target region of the preparation specimen placed on the stage. Shoot a part at high magnification and high resolution. That is, the digital microscope 1 captures a low-resolution whole image (thumbnail image) and a partial image (slide image) having a higher resolution than the whole image.
- the digital microscope 1 is provided with an imaging device controller 13 that controls imaging processing by the whole image imaging unit 11 and the partial image imaging unit 12, an input / output interface unit 14 that is connected to the information processing device 2, and the like. May be.
- an imaging device controller 13 that controls imaging processing by the whole image imaging unit 11 and the partial image imaging unit 12
- an input / output interface unit 14 that is connected to the information processing device 2, and the like. May be.
- the input / output interface unit 14 it is possible to input a control command from the information processing device 2 and output each image data captured by the entire image capturing unit 11 and the partial image capturing unit 12 to the information processing device 2. Become.
- FIG. 3 is a block diagram illustrating a configuration example of the information processing apparatus 2.
- the information processing apparatus 2 includes an image processing unit 23 that processes each image captured by the digital microscope 1. Further, the information processing apparatus 2 may be provided with a CPU (Central Processing Unit) 21, a memory 22, an image composition unit 24, an input / output interface unit 25, a hard disk 26, and the like.
- a CPU Central Processing Unit
- FIG. 4 is a block diagram illustrating a configuration example of the image processing unit 23. As shown in FIG. 4, the image processing unit 23 may be provided with an image analysis unit 232 that analyzes an entire image (thumbnail image) obtained by imaging the entire observation target region.
- an image analysis unit 232 that analyzes an entire image (thumbnail image) obtained by imaging the entire observation target region.
- the image analysis unit 232 determines whether foreign matter and a sample exist for each region of the entire image obtained by imaging the entire observation target region. For example, the image analysis unit 232 divides each of two kinds of whole images having different imaging conditions in the same field of view into a plurality of regions, and compares the two kinds of whole images to determine whether or not a foreign object and a sample exist. Can be determined.
- the term “foreign matter” as used herein refers to the edge of the cover glass covering the sample or dust mixed in the sample, and the image analysis unit 232 determines the presence or absence of foreign matter in the partial image.
- the method for determining whether or not the observation object exists in the image analysis unit 232 is not particularly limited. For example, a method for calculating a likelihood indicating the possibility that a foreign object and a sample exist for each region is used. Can be adopted.
- the “likelihood” includes not only the existence probability of the observation object but also the concept of presence / absence.
- the likelihood may be, for example, each region of the bright field image in the entire image, a region where the observation target exists (level 2), and the observation target. It can be classified into three stages: an area (level 1) and an area where no observation object exists (level 0). In addition, for example, in the entire image, each area of the dark field image can be classified into two stages: an area where a foreign object exists (level 1) and an area where no foreign object exists (level 0).
- the image analysis unit 232 can determine the presence of the sample and the foreign matter by comparing the likelihoods of the bright field image and the dark field image.
- the image processing unit 23 is provided with an image acquisition unit 233 that acquires a first partial image and a second partial image in which a part of the observation target region is captured.
- the image acquisition unit 233 can acquire the second partial image as a partial image to be joined to the first partial image from a plurality of partial images obtained by capturing a part of the observation target region.
- the image acquisition unit 233 preferentially acquires the partial image in which the sample exists as the second partial image.
- connection position adjustment unit 23 adjustment (matching processing) of the connection position of the partial images to be connected selected by the image acquisition unit 233 is performed.
- a method for adjusting the joining position by the joining position adjusting unit 234 is not particularly limited. For example, a luminance value for each of a plurality of pixels in an area (margin area) to be joined to each partial image is calculated, and the brightness value is calculated. This is done by calculating an autocorrelation function based on the above. Further, the joining position may be adjusted by calculating the square of the luminance value difference for each pixel in the overlapping region. In addition, various algorithms used for image pattern matching can be used.
- the CPU 21 comprehensively controls each unit provided in the information processing apparatus 2 and executes, for example, a program that comprehensively controls the above-described image processing unit 23 and the like.
- the CPU 21 can also perform arithmetic processing executed by each unit of the information processing apparatus 2, perform image encoding, and perform partial image pattern matching processing executed by the image composition unit 24 described later.
- the memory 22 is used as a work area of the CPU 21, and temporarily stores a partial image (slide image), an entire image (thumbnail image), etc., taken by the digital microscope 1 and input from the input / output interface unit 25.
- Image composition unit 24 In the image synthesis unit 24, a plurality of partial images (slide images) captured by the digital microscope 1 are connected to synthesize a wide-field microscope observation image with high magnification and high resolution. Partial images (slide images) are sequentially input to the image composition unit 24 via the input / output interface unit 25. Then, the partial images (slide images) are subjected to matching processing in the order of imaging, and are joined (stitched) based on the result.
- an image in which a sample exists is preferentially acquired as a partial image to be joined to the partial image in which the foreign object exists.
- the hard disk 26 stores, for example, processing results in the image processing unit 23 (likelihood of each region, presence level, presence map, imaging order, etc.), a wide-field microscope observation image synthesized by the image synthesis unit 24, and the like. .
- the information processing apparatus 2 may be provided with an interface (not shown) for connection with the server 3 so that they can communicate with each other via the network 5.
- Such a computer program may be stored in a recording medium such as a magnetic disk, an optical disk, a magneto-optical disk, or a flash memory, and can be distributed via a network.
- the server 3 manages various data uploaded from the information processing apparatus 2 and outputs it to the image display apparatus 4 and the information processing apparatus 2 in response to a request. Further, the server 3 generates a GUI (Graphical User Interface) for the user of the image display device 4 for the image that can be browsed on the image display device 4.
- GUI Graphic User Interface
- the image display device 4 displays a wide-field microscope observation image obtained by synthesizing a partial image (slide image) or a plurality of partial images (slide images) output from the server 3 or the information processing device 2. For example, when the preparation specimen is a pathological specimen, the user (image viewer) of the image display device 4 is a doctor or the like, and performs a pathological diagnosis based on the displayed image.
- the network 5 is a communication line network that connects the information processing device 2, the server 3, and the image display device 4 to each other so that bidirectional communication is possible.
- the network 5 includes, for example, the public network such as the Internet, a telephone line network, a satellite communication network, a broadcast communication path, a WAN (Wide Area Network), a LAN (Local Area Network), an IP-VPN (Internet Protocol-Virtual).
- a private network such as Private Network, Ethernet (registered trademark), or a wireless LAN is used, regardless of whether it is wired or wireless.
- the network 5 may be a communication line network provided exclusively for the microscope system of the present embodiment.
- FIG. 5 is a flowchart showing an outline of the overall operation of the microscope system of the present embodiment.
- the entire image capturing unit 11 of the digital microscope 1 is an observation target region of a preparation specimen placed on a stage.
- the whole is photographed at a low magnification and a low resolution (step S1a).
- the entire image (bright field image) captured in step S1a is output from the interface 14 of the digital microscope 1 and input to the image processing unit 23 via the interface 25 of the information processing apparatus 2.
- the input first whole image (thumbnail image) is divided into a plurality of regions, and the observation object is determined for each region, for example, by calculating the likelihood. It is determined whether or not it exists (step S2a). For example, the likelihood of each region can be calculated by image recognition processing or the like. And the presence map which shows the presence information of an observation target object is produced based on the likelihood in each area
- the entire image capturing unit 11 of the digital microscope 1 has the same field of view as the bright field image, and reduces the entire image (dark field image) having foreign matters such as the edge of the cover glass covering the sample in the observation target region. Photographing at a low magnification and a low resolution (step S1b). At this time, since the imaging conditions such as the light source are different from the imaging conditions in step S1b described above, the entire image capturing unit 11 captures the foreign objects such as the sample and the edge of the cover glass so that the foreign objects stand out. Can do.
- the dark field image captured in step S1b is also output from the interface 14 of the digital microscope 1 and input to the image processing unit 23 via the interface 26 of the information processing apparatus 2.
- step S2b the likelihood of each region is calculated by image recognition processing or the like.
- step S3b the image analysis unit 232 creates a presence map indicating the presence information of the foreign matter based on the likelihood in each region.
- the processing performed in steps S2b and S3b can be performed in parallel with the processing performed in steps S2a and S3a after the bright field image is captured in step S1a and the dark field image is captured in step S1b. .
- step S4 the image analysis unit 232 corrects the presence map created in step S3a based on the presence map created in step S3b (step S4).
- 6 and 7 are diagrams showing an outline of the existence map creation process.
- the entire image capturing unit 11 captures a bright field image of the observation object 6 and the foreign matter (the edge of the cover glass) 7 on the slide glass 8 in an arbitrary observation region 9. .
- the image analysis unit 232 determines each region of the entire image as a region where the observation target object 6 exists (level 2) and the observation target object 6 according to the likelihood.
- a region (level 1) that may be present and a region (level 0) where the observation object 6 does not exist are classified into three stages. At this stage, the presence level of the area where the observation object 6 and the foreign object 7 are present is “2”.
- the entire image capturing unit 11 captures a dark field image by changing the image capturing conditions such as the light source so that the foreign object 7 can be highlighted.
- the presence level of the region where the foreign matter (the edge of the cover glass) 7 exists is “1” (portion surrounded by a circle in FIG. 6C).
- the image analysis unit 232 corrects the presence map by subtracting the presence map illustrated in FIG. 6C from the presence map illustrated in FIG. 6B. As a result, the presence level of the area where the foreign substance 7 exists becomes “1”.
- the correction process of the presence map based on the partial image in which the foreign matter is present is not limited to the case where the foreign matter is the cover glass, but the foreign matter 7 such as dust as shown in FIG. But it is done in the same way.
- the processing method is not limited to the processing method performed in the above-described steps S1a, S2a, S3a, S1b, S2b, and S3b.
- FIG. 8 is a flowchart showing a flow of acquiring an image to be joined to a partial image.
- the image acquisition unit 233 acquires an arbitrary partial image (first partial image) (step S6-a).
- the image acquisition unit 233 preferentially acquires a partial image in which a sample is present as the second partial image (steps S6-b and S6-c).
- the image acquisition unit 233 can acquire a partial image to be joined to the first partial image as the second partial image.
- the image acquisition unit 233 preferably acquires a partial image in which a sample exists and no foreign matter exists as the second partial image.
- the image acquisition unit 233 when there is no partial image in which the sample exists in the partial image obtained by imaging the area adjacent to the imaging area of the partial image in which the foreign substance exists, As a partial image to be joined, a partial image in which foreign matter exists may be acquired (steps S6-d and S6-e). In addition, the image acquisition unit 233 acquires an arbitrary partial image when the partial image obtained by imaging the region adjacent to the imaging region of the first partial image is only the partial image in which neither the sample nor the foreign object exists. (Step S6-f). In this case, the arbitrary partial images may be joined based on information regarding the position of the digital microscope 1 in the stage surface direction.
- the image acquisition unit 233 acquires a partial image to be connected to a partial image in which a foreign object exists
- the image acquisition unit 233 is connected based on a partial image in which a foreign object connected to the partial image in which a foreign object exists or based on position information. It is preferable that a partial image in which a foreign object exists is excluded from the acquisition target.
- FIG. 9 is a diagram showing an outline of a presence map in which the process shown in FIG. 8 is executed. As shown in FIG. 9, when the processing shown in FIG. 8 is performed, it is possible to prevent the foreign matter (the edge of the cover glass) 7 from being joined together, and the image on which the observation target 6 exists and the image of the foreign matter 7 are displayed. It becomes possible to connect them with priority.
- FIG. 10 is a diagram showing an outline of a state in which a sample and foreign matter are mixed.
- the partial image in which the foreign matter exists is controlled so as to be preferentially connected to the image in which the sample exists. Therefore, as shown in FIG. 10A and FIG. 10B, even if a foreign object 7 such as a cover glass exists on the observation object 6, it is generated by joining partial images in which the foreign object exists as shown in FIG. 10C. This makes it possible to prevent misalignment of the joining position.
- the partial images are sequentially output to the information processing apparatus 2 and are subjected to a joining process in the image composition unit 24 (step S8).
- the joining process performed in step S8 may be performed after the joining position of the partial images is adjusted in step S7 described above, and the joining order (joining sequence) and the partial images are temporarily stored in the memory 22. Good.
- the partial image in which the foreign object exists is preferentially connected to the partial image in which the sample is present. Misalignment of joining position is difficult to occur. As a result, it is possible to combine the partial images with high accuracy to synthesize a microscope observation image with a wide field of view and high resolution.
- FIG. 11 is a block diagram illustrating a configuration example of the information processing apparatus 2 in the microscope system of the present embodiment
- FIG. 12 is a block diagram illustrating a configuration example of the image processing unit 23 in the information processing apparatus 2.
- the information processing apparatus 2 includes an imaging sequence generation unit 235 that creates an imaging sequence (imaging sequence) of partial images, and the first partial image and the second partial image. At least an image acquisition unit 233 that acquires images and a connection position adjustment unit 234 that adjusts the connection positions of these partial images are provided. Then, the image acquisition unit 233 acquires the first partial image and the second partial image according to the imaging order (imaging sequence) created by the imaging order generation unit 235.
- the information processing apparatus 2 includes an imaging control unit 27.
- the imaging control unit 27 controls driving when the digital microscope 1 captures a partial image based on the imaging sequence (imaging sequence) created by the imaging sequence generation unit 235.
- the imaging sequence generation unit 235 creates an imaging sequence (imaging sequence) based on the determination result of the image analysis unit 232, for example.
- the image analysis unit 232 determines the presence / absence of foreign matter and a sample for each region of the entire image by the same method as the image analysis unit 232 in the first embodiment described above. Then, in the imaging sequence generation unit 235, an imaging is performed so that an area where the observation object is more likely to exist is imaged first and an imaging movement distance is smaller than an area where the possibility that a foreign object exists is high. Create a sequence.
- the imaging order generation unit 235 may create the imaging order based on the likelihood calculated by the image analysis unit 232 and the presence map created by the image analysis unit 232. Further, the created imaging order (imaging sequence) is output to the imaging control unit 27 via the interface 231.
- FIG. 13 is a flowchart showing an outline of the overall operation of the microscope system of the present embodiment
- FIG. 14 is a sequence diagram showing the processing and data flow in the information processing apparatus 2.
- the image analyzing unit 232 performs the whole image similarly to the first embodiment described above. Is divided into a plurality of regions, and corrected existence maps are created (steps S1a to S3a, S1b to S3b, S4).
- FIG. 15 is a flowchart showing the flow of the imaging sequence creation process by the information processing apparatus 2 in more detail.
- FIG. 16 is a flowchart showing a flow of determining the imaging order in the imaging order generation unit 235.
- FIG. 17 is a diagram illustrating the imaging order generated by the imaging order generation unit 235.
- the imaging order (imaging sequence) is created so that, for example, an image is taken from an area having a higher likelihood (existence level) and the moving distance becomes smaller.
- the imaging sequence generation unit 235 first selects an area (first area) to be imaged (step S9-a). In this imaging sequence generation unit 235, when a foreign substance exists in the first area, the area where the sample exists is preferentially selected as an area (second area) to be imaged next to the first area. (Steps S9-b, S9-c). In the imaging sequence generation unit 235, it is preferable to select an area where a sample exists and no foreign matter exists as the second area.
- the imaging sequence generation unit 235 when there is no area where the sample exists in the area adjacent to the area where the foreign substance exists, the foreign substance exists as an area to be imaged next to the area where the foreign substance exists.
- a region to be selected may be selected (steps S9-d and S9-e).
- the imaging order generation unit 235 sets an arbitrary area as an area to be imaged next to the first area when neither a sample nor a foreign object exists in the area adjacent to the imaging area of the first area. Yes (step S9-f).
- the arbitrary region may be determined based on information regarding the position of the digital microscope 1 in the stage surface direction.
- the imaging sequence generation unit 235 selects a region to be imaged next to a region where a foreign object exists, the region selected as a region where either the sample or the foreign material exists, or based on position information is selected. It is preferable to exclude areas and the like from selection targets. For example, when the presence map shown in FIG. 17A is created, an imaging order as shown in FIG. 17B is created.
- the imaging order (imaging sequence) created by the imaging order generation unit 235 is output to the imaging control unit 27 via the interface 231, and the imaging control unit 27 is based on the imaging order.
- the imaging control unit 27 is based on the imaging order.
- a partial image is captured by the partial image capturing unit 12 of the digital microscope 1 based on this imaging order (step S5).
- the image acquisition unit 233 acquires the first partial image and the second partial image in accordance with the imaging order created by the imaging order generation unit 235, and performs adjustment of the joining position, image synthesis, and the like (step) S6 to S8).
- the imaging order generating unit 235 creates an imaging order in which the second area is an area where the sample exists
- the acquisition unit 233 acquires a plurality of partial images captured in the order.
- the microscope system of the present embodiment even if a foreign object exists in the observation target region, an imaging order is created so that the region where the foreign material exists is imaged after the region where the sample exists, and the joining process is performed in that order. Therefore, it is difficult for the joining position to be shifted during the joining process. As a result, it is possible to combine the partial images with high accuracy to synthesize a microscope observation image with a wide field of view and high resolution. Further, in the microscope system according to the present embodiment, since a plurality of captured partial images can be connected without being stored in the memory 22, the data amount of the microscope system can be suppressed. Furthermore, in the microscope system of the present embodiment, the time required for processing after imaging can be shortened.
- FIG. 18 is a flowchart showing an outline of the overall operation of the microscope system of this modification.
- the image analysis unit 232 determines the presence of a foreign object and a sample from one type of entire image captured by the entire image capturing unit 11.
- a method for determining whether or not a foreign substance and a sample exist in the image analysis unit 232 is not particularly limited. For example, a method for calculating a likelihood indicating the possibility that an observation target exists for each region is used. Can be adopted.
- the foreign object and the sample are identified based on the image captured by the entire image capturing unit 11, and the entire image is divided into a plurality of regions corresponding to the partial images.
- a first likelihood indicating the presence degree of the sample and a second likelihood indicating the presence probability of the foreign object can be calculated.
- a method for distinguishing foreign matter and a sample from one type of whole image is performed based on information such as luminance or shape related to the foreign matter and the sample, which is stored in advance in a memory. Then, the image analysis unit 232 can create a presence map indicating the presence information of the sample and the foreign matter based on the first likelihood and the second likelihood of each region.
- the image analysis unit 232 creates two types of presence maps, a presence map indicating the presence information of the sample and the foreign matter, and a presence map indicating the presence information of the foreign matter from one type of whole image, and the presence maps are generated. It may be corrected.
- the time required to capture an image and the time required for processing after the imaging can be shortened, and the time required for all processes can also be shortened.
- the configuration and effects other than those described above in the microscope system of the present modification are the same as those in the second embodiment described above.
- An image acquisition unit for acquiring a first partial image and a second partial image obtained by imaging a part of the observation target region;
- a joining position adjusting unit that adjusts the joining position of the first partial image and the second partial image;
- the image acquisition unit is an information processing apparatus that acquires a partial image in which a sample is present as the second partial image when a foreign object is present in the first partial image.
- An imaging sequence generation unit that creates an imaging sequence of the partial images based on an entire image obtained by imaging the entire observation target region at a lower magnification than the partial images;
- the imaging order generation unit is an area where a sample is present as a second area that is imaged next to the first area Select The information processing apparatus according to (1), wherein the image acquisition unit acquires the first partial image and the second partial image according to an imaging order created by the imaging order generation unit.
- the image acquisition unit acquires the second partial image to be joined to the first partial image from a plurality of partial images obtained by capturing a part of the observation target region, The information processing apparatus according to (1), wherein the connection position adjustment unit adjusts a connection position of the second partial image with respect to the first partial image.
- the image acquisition unit includes a foreign object as the second partial image when there is no partial image in which a sample exists in a partial image obtained by imaging an area adjacent to the imaging area of the first partial image.
- the information processing apparatus according to any one of (1) to (4), which acquires a partial image.
- the image acquisition unit excludes a partial image in which a foreign object connected with a partial image in which a foreign object is present is excluded from acquisition targets (1) to (5)
- the image analysis unit determines presence / absence of a foreign substance and a sample for each of a plurality of regions of the entire image, and determines a corresponding partial image based on the result.
- the information processing apparatus determines the presence / absence of a foreign object and a sample using two types of whole images having the same field of view and different imaging conditions.
- the image analysis unit divides the entire image into a plurality of regions corresponding to the partial images, a first likelihood indicating a sample presence degree for each region, and a second likelihood calculating a presence probability of a foreign object, The information processing apparatus according to (8) or (9).
- (11) The information processing apparatus according to (10), wherein the image analysis unit creates a presence map indicating presence information of a sample and a foreign object based on the first likelihood and the second likelihood.
- the information processing apparatus according to any one of (1) to (11), further including an image composition unit that joins the first partial image and the second partial image.
- the image acquisition unit is used as the second partial image.
- the image composition unit joins the second partial image to the first partial image based on position information at the time of capturing the acquired partial image.
- the image acquisition unit acquires the second partial image, the partial images connected based on the position information are excluded from acquisition targets.
- a program that causes an information processing apparatus to execute a joining position adjustment function that adjusts a joining position between the first partial image and the second partial image.
- a microscope apparatus comprising at least a whole image imaging unit that images the entire observation target region, and a partial image imaging unit that images a part of the observation target region at a higher magnification than the whole image; And at least an information processing device that controls the microscope device and processes each image captured by the microscope device,
- An image acquisition unit that acquires a first partial image and a second partial image from a plurality of partial images obtained by capturing a part of the observation target region;
- a joining position adjusting unit that adjusts a joining position between the first partial image and the second partial image; Is provided,
- the microscope system acquires a partial image in which a sample is present as the second partial image when the foreign substance is present in the first partial image.
Abstract
Description
本開示の情報処理装置では、観察対象領域に異物が存在していても、異物の部分画像を試料の部分画像と優先的に繋ぎ合わせる処理を行う。これにより、繋ぎ合わせ処理時に繋ぎ合わせ位置のずれを防止できるため、繋ぎ合わせ精度が向上する。
この情報処理装置には、観察対象領域全体を、前記部分画像よりも低倍率で撮像した全体画像に基づいて、前記部分画像の撮像順序を作成する撮像順序生成部が設けられていてもよく、前記撮像順序生成部は、複数の領域に分割された前記全体画像の第1の領域に異物が存在するときは、前記第1の領域の次に撮像される第2の領域として試料が存在する領域を選択し、前記画像取得部は、前記撮像順序生成部で作成された撮像順序に従って、前記第1の部分画像及び前記第2の部分画像を取得してもよい。
また、前記画像取得部が、観察対象領域の一部が撮像された複数の部分画像から、前記第1の部分画像に繋ぎ合わせる前記第2の部分画像を取得し、前記繋合位置調整部が、前記第1の部分画像に対し、前記第2の部分画像の繋合位置を調整してもよい。
また、前記画像取得部は、前記第2の部分画像として異物が存在しない部分画像を取得してもよい。
また、前記画像取得部は、前記第1の部分画像の撮像領域に隣接する領域を撮像した部分画像の中に、試料が存在する部分画像がないときは、前記第2の部分画像として異物が存在する部分画像を取得してもよい。
また、前記画像取得部は、前記第2の部分画像を取得する際、異物が存在する部分画像と繋ぎ合わされた異物が存在する部分画像を取得対象外としてもよい。
また、この情報処理装置には、前記部分画像について、異物及び試料の存在の有無を判定する画像解析部が設けられていてもよい。
また、前記画像解析部は、前記全体画像の前記領域毎に異物及び試料の存在の有無を判定し、その結果に基づいて対応する部分画像の判定を行うことができる。
その場合、前記画像解析部は、同視野で撮像条件が異なる2種類の全体画像を用いて、異物及び試料の存在の有無を判定してもよい。
また、前記画像解析部は、前記全体画像の各領域について試料の存在度合いを示す第1尤度と、異物の存在確率を算出する第2尤度とを算出してもよい。
その場合、前記画像解析部は、前記第1尤度及び前記第2尤度に基づいて試料及び異物の存在情報を示す存在マップを作成することもできる。
更に、この情報処理装置には、前記第1の部分画像と前記第2の部分画像とを繋ぎ合わせる画像合成部が設けられていてもよい。
その場合、前記画像取得部は、前記第1の部分画像の撮像領域に隣接する領域を撮像した部分画像が、試料及び異物のいずれも存在しない部分画像のみであるときは、前記第2の画像として前記部分画像の中から任意の部分画像を取得し、前記画像合成部は、取得された部分画像の撮像時の位置情報に基づいて前記第1の部分画像に前記第2の部分画像を繋ぎ合わせてもよい。
更に、前記画像取得部は、前記第2の部分画像を取得する際、前記位置情報に基づいて繋ぎ合わされた部分画像は取得対象外としてもよい。
1.第1の実施の形態
(異物が存在する画像を試料が存在する画像に優先的に繋合するシステムの例)
2.第2の実施の形態
(撮像シーケンスを作成するシステムの例)
[顕微鏡システムの構成]
先ず、本開示の第1の実施形態に係るバーチャル顕微鏡システムについて説明する。図1は本実施形態の顕微鏡システムの概要を示す図である。本実施形態の顕微鏡システムは、各種プレパラート標本を高倍率で撮像して観察するものであり、図1に示すように、デジタル顕微鏡1と情報処理装置2とを少なくとも備える。
デジタル顕微鏡1は、光源、対物レンズ、撮像素子及びステージなどを備えており、ステージ上に載置されたプレパラート標本に対して所定の照明光を照射し、観察対象物を透過した光や観察対象物から発せられた光などを撮像する。図2はデジタル顕微鏡1の構成例を示すブロック図である。図2に示すように、本実施形態の顕微鏡システムが備えるデジタル顕微鏡1には、全体画像撮像部11と部分画像撮像部12とが設けられている。
図3は情報処理装置2の構成例を示すブロック図である。情報処理装置2は、デジタル顕微鏡1で撮像された各画像を処理する画像処理部23を備えている。また、情報処理装置2には、CPU(Central Processing Unit)21、メモリ22、画像合成部24、入出力インターフェイス部25及びハードディスク26などが設けられていてもよい。
図4は画像処理部23の構成例を示すブロック図である。図4に示すように、画像処理部23には、観察対象領域全体を撮像した全体画像(サムネイル画像)を解析する画像解析部232が設けられていてよい。
CPU21は、情報処理装置2に設けられた各部を統括的に制御するものであり、例えば前述した画像処理部23などを統括的に制御するプログラムを実行する。また、CPU21は情報処理装置2の各部で実行される演算処理を行ったり、画像のエンコードや後述する画像合成部24で実行される部分画像のパターンマッチング処理などを行うこともできる。
メモリ22は、CPU21の作業領域として用いられ、デジタル顕微鏡1で撮影され入出力インターフェイス部25から入力された部分画像(スライド画像)や全体画像(サムネイル画像)などを一時的に記憶する。
画像合成部24では、デジタル顕微鏡1で撮像された複数の部分画像(スライド画像)を繋ぎ合わせて、高倍率かつ高解像度の広視野顕微鏡観察画像を合成する。この画像合成部24には、入出力インターフェイス部25を介して、部分画像(スライド画像)が順次入力される。そして、部分画像(スライド画像)は、撮像順にマッチング処理が行われ、その結果に基づいて繋ぎ合わせ(スティッチング)処理される。
ハードディスク26には、例えば画像処理部23での処理結果(各領域の尤度、存在レベル、存在マップ、撮像順序など)や画像合成部24で合成された広視野顕微鏡観察画像などが記憶される。
サーバ3は、情報処理装置2からアップロードされた各種データを管理し、要求に応じて画像表示装置4や情報処理装置2に出力する。また、サーバ3は、画像表示装置4で閲覧可能な画像について、画像表示装置4のユーザのためのGUI(Graphical User Interface)を生成する。
画像表示装置4は、サーバ3又は情報処理装置2から出力された部分画像(スライド画像)や複数の部分画像(スライド画像)を合成した広視野顕微鏡観察画像を表示する。例えば、プレパラート標本が病理標本である場合は、画像表示装置4のユーザ(画像の閲覧者)は医師などであり、表示された画像に基づいて病理診断を行う。
ネットワーク5は、情報処理装置2、サーバ3及び画像表示装置4を、互いに双方向通信可能に接続する通信回線網である。このネットワーク5は、例えば、インターネット、電話回線網、衛星通信網、同報通信路などの公衆回線網や、WAN(Wide Area Network)、LAN(Local Area Network)、IP-VPN(Internet Protocol-Virtual Private Network)、Ethernet(登録商標)、ワイヤレスLANなどの専用回線網などで構成されており、有線か無線かは問わない。また、このネットワーク5は、本実施形態の顕微鏡システムに専用に設けられた通信回線網であってもよい。
次に、本実施形態の顕微鏡システムの動作の一例について説明する。図5は本実施形態の顕微鏡システムの全体動作の概要を示すフローチャート図である。
次に、本開示の第2の実施形態に係る顕微鏡システムについて説明する。図11は、本実施形態の顕微鏡システムにおける情報処理装置2の構成例を示すブロック図であり、図12は、その情報処理装置2における画像処理部23の構成例を示すブロック図である。
また、本開示の第2の実施形態の変形例に係る顕微鏡システムでは、1種類の全体画像を用いて、異物及び試料の存在の有無を判定することができる。図18は、本変形例の顕微鏡システムの全体動作の概要を示すフローチャート図である。
(1)
観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を取得する画像取得部と、
前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整部と、を有し、
前記画像取得部は、前記第1の部分画像に異物が存在するときは、前記第2の部分画像として試料が存在する部分画像を取得する情報処理装置。
(2)
観察対象領域全体を、前記部分画像よりも低倍率で撮像した全体画像に基づいて、前記部分画像の撮像順序を作成する撮像順序生成部を有し、
前記撮像順序生成部は、複数の領域に分割された全体画像の第1の領域に異物が存在するときは、前記第1の領域の次に撮像される第2の領域として試料が存在する領域を選択し、
前記画像取得部は、前記撮像順序生成部で作成された撮像順序に従って、前記第1の部分画像及び前記第2の部分画像を取得する(1)に記載の情報処理装置。
(3)
前記画像取得部は、観察対象領域の一部が撮像された複数の部分画像から、前記第1の部分画像に繋ぎ合わせる前記第2の部分画像を取得し、
前記繋合位置調整部は、前記第1の部分画像に対し、前記第2の部分画像の繋合位置を調整する(1)に記載の情報処理装置。
(4)
前記画像取得部は、前記第2の部分画像として異物が存在しない部分画像を取得する(1)~(3)のいずれかに記載の情報処理装置。
(5)
前記画像取得部は、前記第1の部分画像の撮像領域に隣接する領域を撮像した部分画像の中に、試料が存在する部分画像がないときは、前記第2の部分画像として異物が存在する部分画像を取得する(1)~(4)のいずれかに記載の情報処理装置。
(6)
前記画像取得部は、前記第2の部分画像を取得する際、異物が存在する部分画像と繋ぎ合わされた異物が存在する部分画像は取得対象外とする(1)~(5)のいずれかに記載の情報処理装置。
(7)
前記部分画像について、異物及び試料の存在の有無を判定する画像解析部を備える(1)~(6)のいずれかに記載の情報処理装置。
(8)
前記画像解析部は、全体画像の複数の領域毎に異物及び試料の存在の有無を判定し、その結果に基づいて対応する部分画像の判定を行う(7)に記載の情報処理装置。
(9)
前記画像解析部は、同視野で撮像条件が異なる2種類の全体画像を用いて、異物及び試料の存在の有無を判定する(7)又は(8)に記載の情報処理装置。
(10)
前記画像解析部は、前記全体画像を前記部分画像に対応する複数の領域に分割し、領域毎に試料の存在度合いを示す第1尤度と、異物の存在確率を算出する第2尤度とを算出する(8)又は(9)に記載の情報処理装置。
(11)
前記画像解析部は、前記第1尤度及び前記第2尤度に基づいて試料及び異物の存在情報を示す存在マップを作成する(10)に記載の情報処理装置。
(12)
前記第1の部分画像と前記第2の部分画像とを繋ぎ合わせる画像合成部を備える(1)~(11)のいずれかに記載の情報処理装置。
(13)
前記画像取得部は、前記第1の部分画像の撮像領域に隣接する領域を撮像した部分画像が、試料及び異物のいずれも存在しない部分画像のみであるときは、前記第2の部分画像として前記部分画像の中から任意の部分画像を取得し、
前記画像合成部は、取得された部分画像の撮像時の位置情報に基づいて前記第1の部分画像に前記第2の部分画像を繋ぎ合わせる(12)に記載の情報処理装置。
(14)
前記画像取得部は、前記第2の部分画像を取得する際、前記位置情報に基づいて繋ぎ合わされた部分画像は取得対象外とする(13)に記載の情報処理装置。
(15)
画像取得部により、観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を取得する画像取得工程と、
繋合位置調整部により、前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整工程と、を有し、
前記画像取得工程では、前記第1の部分画像に異物が存在するときは、前記第2の部分画像として試料が存在する部分画像を取得する情報処理方法。
(16)
観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を、異物が存在する部分画像に対しては試料が存在する部分画像が取得されるように取得する画像取得機能と、
前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整機能と、を情報処理装置に実行させるプログラム。
(17)
観察対象領域全体を撮像する全体画像撮像部と、前記観察対象領域の一部を前記全体画像よりも高倍率で撮像する部分画像撮像部とを少なくとも備える顕微鏡装置と、
前記顕微鏡装置を制御すると共に、前記顕微鏡装置で撮像された各画像を処理する情報処理装置と、を少なくとも備え、
前記情報処理装置には、
観察対象領域の一部が撮像された複数の部分画像から、第1の部分画像及び第2の部分画像を取得する画像取得部と、
前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整部と、
が設けられており、
前記画像取得部は、前記第1の部分画像に異物が存在するときは、前記第2の部分画像として試料が存在する部分画像を取得する顕微鏡システム。
2 情報処理装置
3 サーバ
4 画像表示装置
5 ネットワーク
6 観察対象物
7 異物
8 スライドガラス
11 全体画像撮像部
12 部分画像撮像部
13 撮像装置コントローラ
14、25、231 インターフェイス
21 CPU
22 メモリ
23 画像処理部
24 画像合成部
26 ハードディスク
27 撮像制御部
232 画像解析部
233 画像取得部
234 繋合位置調整部
235 撮像順序生成部
Claims (17)
- 観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を取得する画像取得部と、
前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整部と、を有し、
前記画像取得部は、前記第1の部分画像に異物が存在するときは、前記第2の部分画像として試料が存在する部分画像を取得する情報処理装置。 - 観察対象領域全体を、前記部分画像よりも低倍率で撮像した全体画像に基づいて、前記部分画像の撮像順序を作成する撮像順序生成部を有し、
前記撮像順序生成部は、複数の領域に分割された前記全体画像の第1の領域に異物が存在するときは、前記第1の領域の次に撮像される第2の領域として試料が存在する領域を選択し、
前記画像取得部は、前記撮像順序生成部で作成された撮像順序に従って、前記第1の部分画像及び前記第2の部分画像を取得する請求項1に記載の情報処理装置。 - 前記画像取得部は、観察対象領域の一部が撮像された複数の部分画像から、前記第1の部分画像に繋ぎ合わせる前記第2の部分画像を取得し、
前記繋合位置調整部は、前記第1の部分画像に対し、前記第2の部分画像の繋合位置を調整する請求項1に記載の情報処理装置。 - 前記画像取得部は、前記第2の部分画像として異物が存在しない部分画像を取得する請求項1に記載の情報処理装置。
- 前記画像取得部は、前記第1の部分画像の撮像領域に隣接する領域を撮像した部分画像の中に、試料が存在する部分画像がないときは、前記第2の部分画像として異物が存在する部分画像を取得する請求項1に記載の情報処理装置。
- 前記画像取得部は、前記第2の部分画像を取得する際、異物が存在する部分画像と繋ぎ合わされた異物が存在する部分画像は取得対象外とする請求項5に記載の情報処理装置。
- 前記部分画像について、異物及び試料の存在の有無を判定する画像解析部を備える請求項1に記載の情報処理装置。
- 前記画像解析部は、全体画像の複数の領域毎に異物及び試料の存在の有無を判定し、その結果に基づいて対応する部分画像の判定を行う請求項7に記載の情報処理装置。
- 前記画像解析部は、同視野で撮像条件が異なる2種類の全体画像を用いて、異物及び試料の存在の有無を判定する請求項7に記載の情報処理装置。
- 前記画像解析部は、前記全体画像の各領域について試料の存在度合いを示す第1尤度と、異物の存在確率を算出する第2尤度とを算出する請求項8に記載の情報処理装置。
- 前記画像解析部は、前記第1尤度及び前記第2尤度に基づいて試料及び異物の存在情報を示す存在マップを作成する請求項10に記載の情報処理装置。
- 前記第1の部分画像と前記第2の部分画像とを繋ぎ合わせる画像合成部を備える請求項1に記載の情報処理装置。
- 前記画像取得部は、前記第1の部分画像の撮像領域に隣接する領域を撮像した部分画像が、試料及び異物のいずれも存在しない部分画像のみであるときは、前記第2の部分画像として前記部分画像の中から任意の部分画像を取得し、
前記画像合成部は、取得された部分画像の撮像時の位置情報に基づいて前記第1の部分画像に前記第2の部分画像を繋ぎ合わせる請求項12に記載の情報処理装置。 - 前記画像取得部は、前記第2の部分画像を取得する際、前記位置情報に基づいて繋ぎ合わされた部分画像は取得対象外とする請求項13に記載の情報処理装置。
- 画像取得部により、観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を取得する画像取得工程と、
繋合位置調整部により、前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整工程と、を有し、
前記画像取得工程では、前記第1の部分画像に異物が存在するときは、前記第2の部分画像として試料が存在する部分画像を取得する情報処理方法。 - 観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を、異物が存在する部分画像に対しては試料が存在する部分画像が取得されるように取得する画像取得機能と、
前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整機能と、
を情報処理装置に実行させるプログラム。 - 観察対象領域全体を撮像する全体画像撮像部と、前記観察対象領域の一部を前記全体画像よりも高倍率で撮像する部分画像撮像部とを少なくとも備える顕微鏡装置と、
前記顕微鏡装置を制御すると共に、前記顕微鏡装置で撮像された各画像を処理する情報処理装置と、を少なくとも備え、
前記情報処理装置には、
観察対象領域の一部が撮像された第1の部分画像及び第2の部分画像を取得する画像取得部と、
前記第1の部分画像と前記第2の部分画像との繋合位置を調整する繋合位置調整部と、
が設けられており、
前記画像取得部は、前記第1の部分画像に異物が存在するときは、前記第2の部分画像として試料が存在する部分画像を取得する顕微鏡システム。
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