Abstract: Examples relate to an optical system and to an apparatus, method and computer program for an optical system. The optical imaging system comprises a camera for providing a camera image of a surface of an object. The optical imaging system further comprises one or more measurement modules for performing one or more measurements at one or more points of the surface of the object. The optical imaging system further comprises a display module. The optical imaging system further comprises a processing module configured to obtain the camera image of the surface of the object from the camera. The processing module is configured to obtain the one or more measurements at the one or more points of the surface of the object from the one or more measurement modules. The processing module is configured to determine a spatial location of the one or more points of the surface relative to the camera image.

Abstract: The present invention relates to an illumination filter system (2) for medical imaging, in particular multispectral fluorescence imaging, as performed e.g. in a microscope (1) or endoscope, such as a surgical microscope, in particular a surgical multispectral fluorescence microscope, comprising a first optical filter (35). The present invention also relates to an observation system (3) for medical imaging, in particular multispectral fluorescence imaging, as performed e.g. in a microscope (1) or endoscope, in particular a multispectral fluorescence microscope, comprising a beam splitter (21) adapted to split a light image (13) into a first light portion (16, 17) along a first light path (18) and a second light portion (20) along a second light path (19).

Abstract: The invention relates to a method, an image processor (26) and a medical observation device (1), such as a microscope or endoscope, for observing an object (4) containing a bolus of at least one fluorophore (12). The object (4) is preferably live tissue comprising several types (16, 18, 20) of tissue. According to the method, a set (34) of component signals (36) is provided. Each component signal (36) represents a fluorescence intensity development of the fluorophore (12) over time in a different type of tissue. A time series (8) of input frames (10) is accessed, one input frame (10) after the other. The input frames (10) represent electronically coded still images of the object (4) at subsequent time. Each input frame (10) contains at least one observation area (22) comprising at least one pixel (23).

Abstract: The present invention relates to a surgical microscope with a field of view and comprising an optical imaging system which images an inspection area which is at least partially located in the field of view, and to a method for a gesture control of a surgical microscope having an optical imaging system. The surgical microscope further comprises a gesture detection unit for detection of a movement of a surgical instrument, the gesture detection unit having a detection zone which is located between the inspection area and the optical imaging system and is spaced apart from the inspection area, and the gesture detection unit being configured to output a control signal to the optical imaging system depending on the movement of the surgical instrument in the detection zone, the optical imaging system being configured to alter its state depending on the control signal.

Abstract: The invention relates to an augmented reality surgical microscope (1) having a camera (2), preferably a multispectral or hyperspectral camera. The augmented reality surgical microscope (1) retrieves input image data (22) of an object (8) comprising in particular live tissue (10). The input image data (22) comprise visible-light image data (26) as well as fluorescent-light image data (24) of at least one fluorophore (14). The augmented reality surgical microscope (1) permits the automatic identification and marking in pseudo-color (86) of various types of vascular plexus structures (54a 54b, 54c) and/or of blood flow direction (56) depending on the fluorescent-light image data (24). A pre-operative three-dimensional atlas (36) and/or ultrasound image data (39) may be elastically matched to the visible-light image data (26). The augmented reality surgical microscope (1) allows different combinations of the various image data to be output simultaneously to different displays (75).

Abstract: The present invention relates to a surgical microscope with a field of view and comprising an optical imaging system which images an inspection area which is at least partially located in the field of view, and to a method for a gesture control of a surgical microscope having an optical imaging system. The surgical microscope further comprises a gesture detection unit for detection of a movement of a surgical instrument, the gesture detection unit having a detection zone which is located between the inspection area and the optical imaging system and is spaced apart from the inspection area, and the gesture detection unit being configured to output a control signal to the optical imaging system depending on the movement of the surgical instrument in the detection zone, the optical imaging system being configured to alter its state depending on the control signal.

Abstract: Examples relate to a surgical microscope system, and to a system, a method, and a computer program for a microscope of a surgical microscope system. The system is configured to the system is configured to obtain imaging sensor data from at least one optical imaging sensor of the microscope. The system is configured to determine information on an area of interest of a user of the surgical microscope system based on an input of the user. The system is configured to determine an anatomical feature of interest within the area of interest. The system is configured to detect a position of the anatomical feature of interest within the imaging sensor data. The system is configured to trigger an autofocus functionality of the microscope to focus on the position of the anatomical feature of interest.

Abstract: Examples relate to systems, methods and computer programs for a microscope system and for determining a transformation function, and to a corresponding microscope system. The system for the microscope system comprises one or more processors and one or more storage devices. The system is configured to obtain first imaging sensor data from a first imaging sensor of a microscope of the microscope system and second imaging sensor data from a second imaging sensor of the microscope, the first imaging sensor data comprises sensor data on light sensed in a first plurality of mutually separated wavelength bands. The second imaging sensor data comprises sensor data on light sensed in a second plurality of mutually separated wavelength bands. The wavelength bands of the first plurality of mutually separated wavelength bands or of the second plurality of mutually separated wavelength bands are wavelength bands that are used for fluorescence imaging.

Abstract: Examples relate to a system, method, and computer program for a surgical microscope system, and to a corresponding surgical microscope system. The system is configured to determine a depth characteristic of a surgical site being imaged using a microscope. The system is configured to adjust a numerical aperture of the microscope based on the depth characteristic of at least a portion of the surgical site.

Abstract: Examples relate to an optical imaging system, and to a corresponding apparatus, method and computer program for an optical imaging system. The optical imaging system comprises one or more information sources for providing information about a current orientation of the optical imaging system towards at least a part of an object of interest. The optical imaging system comprises one or more output modules for providing guidance information for a user of the optical imaging system. The optical imaging system comprises a processing module configured to determine information on a desired orientation of the optical imaging system towards at least a part of the object of interest.

Abstract: Examples relate to a system, a method, and a computer program for a microscope of a surgical microscope system. The system configured to obtain imaging sensor data from at least one optical imaging sensor of the microscope. The imaging sensor data comprises a first component that is based on reflectance imaging and a second component that is based on fluorescence imaging. The system is configured to generate a digital view of a surgical site based on at least the first component of the imaging sensor data. The system is configured to detect at least one feature of interest in the second component of the imaging sensor data and generate a visual indicator of the at least one feature of interest. The system is configured to provide a display signal to a display device of the surgical microscope system, the display signal comprising the digital view and the visual indicator.

Abstract: Examples relate to apparatuses, methods and computer programs for a microscope system, more specifically, but not exclusively, to the use of two optical imaging modules to obtain image data having a first and a second field of view. The apparatus comprises an interface. The interface is suitable for obtaining first image data of a sample from a first optical imaging module. The first image data has a first field of view. The interface is suitable for obtaining second image data of the sample from a second optical imaging module. The second image data has a second field of view. The first field of view comprises the second field of view. The apparatus comprises a processing module. The processing module is configured to generate an image output signal for a display of the microscope system. In some embodiments, the processing module is configured to process the first image data to detect an abnormality outside the second field of view.

Abstract: Examples relate to apparatuses, methods and computer programs for controlling a microscope system, and to a corresponding microscope system. An apparatus for controlling a microscope system comprises an interface for communicating with a camera module. The camera module is suitable for providing camera image data of a head of a user of the microscope system. The apparatus comprises a processing module configured to obtain the camera image data from the camera module via the interface. The processing module is configured to process the camera image data to determine information on an angular orientation of the head of the user relative to a display of the microscope system. The processing module is configured to provide a control signal for a robotic adjustment system of the microscope system based on the information on the angular orientation of the head of the user.

Abstract: Method for automatically setting at least a unit parameter for a medical unit or unit part with parameter values relating to a particular user. According to the method, a user is identified, a corresponding parameter set is selected and unit parameters are set with the selected parameter set. The preceding steps are only implemented when an authentication signal for activating the identification, selection and setting processes is received or present. The authentication signal can be based on use of a user priority database. The invention also relates to a corresponding medical unit and medical system.

Abstract: Examples relate to a system, a method and a computer program for training a machine-learning model, to a machine-learning model, a method and computer program for detecting at least one property of a sample of organic tissue, and to a microscope system. The system comprises one or more storage modules and one or more processors. The system is configured to obtain a plurality of images of a sample of organic tissue. The plurality of images are taken using a plurality of different imaging characteristics. The system is configured to train a machine-learning model using the plurality of images. The plurality of images are used as training samples and information on at least one property of the sample of organic tissue is used as a desired output of the machine-learning model.

Abstract: Examples relate to a surgical microscope system and a corresponding apparatus, method and computer program. The surgical microscope system comprises one or more sensors for providing sensor information about a balance of the surgical microscope system. The surgical microscope system comprises one or more brakes for holding at least one component of the surgical microscope system in place. The surgical microscope system comprises a surgical microscope. The surgical microscope system comprises a processing module, configured to process the sensor information. The processing module is configured to determine an information about the balance of the surgical microscope system. In some embodiments, the processing module is configured to provide a warning to a user of the surgical microscope system based on the information about the balance of the surgical microscope system. The warning indicates danger of imbalance in the surgical microscope system.

Abstract: Examples relate to a microscope, and to an apparatus, method and computer program for a microscope. The microscope comprises a light emission module for providing illumination for a sample of organic tissue in a plurality of wavelength bands. The microscope comprises one or more imaging sensor modules configured to independently sense light in a plurality of mutually separated wavelength bands of the plurality of wavelength bands. The microscope comprises a processing module configured to control the light emission module such, that in a first operating mode light in a first subset of the plurality of wavelength bands is emitted towards the sample of organic tissue, and that in a second operating mode light in a second subset of the plurality of wavelength bands is emitted towards the sample of organic tissue. The first and second subset of wavelength bands are at least partially different.

Abstract: A medical imaging apparatus (1) and method for imaging a light-sensitive object (2), such as tissue (3) of the eye (4), displays the object (2) in spectral bands (30) of the visible light range (37) in which the object is sensitive and cannot be illuminated. The apparatus (1) has a camera (8) for capturing input images (10) in which a spectral signature (36) of the object is represented by an input set (15) of spectral bands (16). The apparatus generates output images (22) in which the spectral signature (60) in the visible light range (37) is represented by an output set (29) of spectral bands (30). Replacing at least one input-only spectral band (38) in the input set (15) by at least one output-only spectral band (39) in the output set (29) enables capture of input images (10) in spectral bands (16) where the object (2) has less sensitivity, such as in the non-visible light-range (18), and display of the object (2) in spectral bands (30) where the object would be too sensitive for illumination (40).

Abstract: Examples relate to an optical system and to a corresponding apparatus, method and computer program. The optical system comprises a display module for providing a visual overlay to be overlaid over an object in an augmented reality or mixed reality environment. The optical system comprises at least one sensor for sensing at least one optical property of the object. The optical system comprises a processing module configured to determine the at least one optical property of the object using the at least one sensor. The processing module is configured to determine a visual contrast between the visual overlay to be overlaid over the object and the object, as perceived within a field of view of the augmented reality or mixed reality environment, based on the at least one optical property of the object.

Abstract: The invention relates to an apparatus (1) and method for automatically determining the blood flow direction (42) in a blood vessel (14) using the fluorescence light from a fluorophore (16). Blood flow direction (42) is determined by first identifying a blood vessel structure (38) in an input frame (6) from a camera assembly (2) using a pattern recognition module (26). Blood flow direction (42) is determined from the spatial gradient (dI/dx) of the fluorescence intensity (I) along the identified blood vessel structure (38) and the temporal gradient (dI/dt). An output frame (48) is displayed on a display (36) with time-varying marker data (52) overlaid on the identified blood vessels structure (38) and representative of the blood flow direction (42).