Abstract: Apparatus and methods are described for use with a digital microscope unit that includes a digital microscope. A biological cell sample that is disposed within a sample carrier is received into the digital microscope unit. It is determined that there is a variation in the focal depth of the biological sample with respect to the microscope due to curvature in the sample carrier and/or due to tolerance in setup of the microscope. In response to determining that there is the variation in the focal depth of the biological sample with respect to the microscope, the variation in the focal depth of the biological sample with respect to the microscope is accounted for. Other applications are also described.

Abstract: Apparatus and methods are described for use with a digital microscope unit that includes a digital microscope. A biological cell sample that is disposed within a sample carrier is received into the digital microscope unit. It is determined that there is a variation in the focal depth of the biological sample with respect to the microscope due to curvature in the sample carrier and/or due to tolerance in setup of the microscope. In response to determining that there is the variation in the focal depth of the biological sample with respect to the microscope, the variation in the focal depth of the biological sample with respect to the microscope is accounted for. Other applications are also described.

Abstract: Apparatus and methods are described for use with a digital microscope unit that includes a digital microscope. A biological cell sample that is disposed within a sample carrier is received into the digital microscope unit. It is determined that there is a variation in the focal depth of the biological sample with respect to the microscope due to curvature in the sample carrier and/or due to tolerance in setup of the microscope. In response to determining that there is the variation in the focal depth of the biological sample with respect to the microscope, the variation in the focal depth of the biological sample with respect to the microscope is accounted for. Other applications are also described.

Abstract: Apparatus and methods are described for use with a digital microscope unit that includes a digital microscope. A biological cell sample disposed within a sample carrier, is received into the digital microscope unit. For at least one imaging field of the biological cell sample, it is determined that, within the imaging field, there is a variation in the focal depth of the biological sample with respect to the microscope. At least one image of the imaging field is captured. A characteristic of the biological sample is determined by analyzing the captured image of the imaging field, the analyzing including, in response to determining that there is a variation in the focal depth of the biological sample with respect to the microscope, accounting for the variation in the focal depth of the biological sample with respect to the microscope. Other applications are also described.

Abstract: Apparatus and methods are described for use with a digital microscope unit that includes a digital microscope. A biological cell sample disposed within a sample carrier, is received into the digital microscope unit. For at least one imaging field of the biological cell sample, it is determined that, within the imaging field, there is a variation in the focal depth of the biological sample with respect to the microscope. At least one image of the imaging field is captured. A characteristic of the biological sample is determined by analyzing the captured image of the imaging field, the analyzing including, in response to determining that there is a variation in the focal depth of the biological sample with respect to the microscope, accounting for the variation in the focal depth of the biological sample with respect to the microscope. Other applications are also described.

Abstract: A digital microscopy method, comprising: obtaining data representative of a series of images of at least a portion of a cell sample, the images being captured by performing a depth scan using a digital microscope, the series of images being associated with a series of depth levels of the cell sample, wherein the portion encompasses a mapping field, and the mapping field comprises a plurality of focus analysis regions; and calculating, using the images, a focus configuration for at least two of the focus analysis regions within the mapping field, giving rise to data indicative of focus variations within the mapping field.

Abstract: A digital microscopy method, comprising: obtaining data representative of a series of images of at least a portion of a cell sample, the images being captured by performing a depth scan using a digital microscope, the series of images being associated with a series of depth levels of the cell sample, wherein the portion encompasses a mapping field, and the mapping field comprises a plurality of focus analysis regions; and calculating, using the images, a focus configuration for at least two of the focus analysis regions within the mapping field, giving rise to data indicative of focus variations within the mapping field.

Abstract: A computerized system mountable on a moving vehicle. The computerized system includes a camera. The camera captures in real time image frames of the environment in the field of view of the camera and transfers the image frames to an image processor. The image processor is programmed for performing traffic sign recognition and for performing another driver assistance function. Information is exchanged between the traffic sign recognition and the other driver assistance function.

Abstract: A computerized system mountable on a moving vehicle. The computerized system includes a camera. The camera captures in real time image frames of the environment in the field of view of the camera and transfers the image frames to an image processor. The image processor is programmed for performing traffic sign recognition and for performing another driver assistance function. Information is exchanged between the traffic sign recognition and the other driver assistance function.

Abstract: A method for detecting and identifying a traffic sign in a computerized system mounted on a moving vehicle. The system includes a camera mounted on the moving vehicle. The camera captures in real time multiple image frames of the environment in the field of view of the camera and transfers the image frames to an image processor. The processor is programmed for performing the detection of the traffic sign and for performing another driver assistance function. The image frames are partitioned into the image processor into a first portion of the image frames for the detection of the traffic sign and into a second portion of the image frames for the other driver assistance function. Upon detecting an image suspected to be of the traffic sign in at least one of said image frames of the first portion, the image is tracked in at least one of the image frames of the second portion.

Abstract: A method in a computerized system including an image sensor mounted in a moving vehicle. The image sensor captures image frames consecutively in real time. In one of the image flames, a spot is detected of measurable brightness; the spot is matched in subsequent image frames. The image frames are available for sharing between the computerized system and another vehicle control system. The spot and the corresponding spot are images of the same object. The object is typically one or more of headlights from an oncoming vehicle, taillights of a leading vehicle, streetlights, street signs and/or traffic signs. Data is acquired from the spot and from the corresponding spot. By processing the data, the object (or spot) is classified. producing an object classification. The vehicle control system controls preferably headlights of the moving vehicle based on the object classification.

Abstract: A method for detecting and identifying a traffic sign in a computerized system mounted on a moving vehicle. The system includes a camera mounted on the moving vehicle. The camera captures in real time multiple image frames of the environment in the field of view of the camera and transfers the image frames to an image processor. The processor is programmed for performing the detection of the traffic sign and for performing another driver assistance function. The image frames are partitioned into the image processor into a first portion of the image frames for the detection of the traffic sign and into a second portion of the image frames for the other driver assistance function. Upon detecting an image suspected to be of the traffic sign in at least one of said image frames of the first portion, the image is tracked in at least one of the image frames of the second portion.

Abstract: A method in a computerized system including an image sensor mounted in a moving vehicle. The image sensor captures image frames consecutively in real time. In one of the image flames, a spot is detected of measurable brightness; the spot is matched in subsequent image frames. The image frames are available for sharing between the computerized system and another vehicle control system. The spot and the corresponding spot are images of the same object. The object is typically one or more of headlights from an oncoming vehicle, taillights of a leading vehicle, streetlights, street signs and/or traffic signs. Data is acquired from the spot and from the corresponding spot. By processing the data, the object (or spot) is classified. producing an object classification. The vehicle control system controls preferably headlights of the moving vehicle based on the object classification.

Abstract: A gain control method for setting the gain control channels of a camera such that it enables the support of multiple conflicting applications which camera is performing concurrently, including using one channel, for example the Green channel, for B&W image applications, and the other two channels for color image applications or any other multiple application. The gain control method of the present invention is also applicable to color cameras and also to B&W cameras that have more than one gain control channel.