Disclosed herein are CPM support systems, as well as related apparatuses, methods, computing devices, and computer-readable media. For example, in some embodiments, a charged particle microscope computational support apparatus may include: first logic to, for each angle of a plurality of angles, receive an associated image of a specimen at the angle, and generate an associated scan mask based on one or more regions-of-interest in the associated image; second logic to, for each angle of the plurality of angles, generate an associated data set of the specimen by processing data from a scan, in accordance with the associated scan mask, by a charged particle microscope of the specimen at the angle; and third logic to provide, for each angle of the plurality of angles, the associated data set of the specimen to reconstruction logic to generate a three-dimensional reconstruction of the specimen.

A method of measuring a critical dimension (CD) includes forming a plurality of patterns in a substrate, creating first to n-th images, where n is a natural number greater than 1, for first to n-th areas in the substrate, respectively, where the first to n-th areas do not overlap with each other, where each of the first to n-th areas comprising at least some of the plurality of patterns, creating a merged image for the first to n-th images, and measuring a CD for a measurement object from the plurality of patterns using the merged image. The merged image has a higher resolution than each of the first to n-th images.

Real-time focusing in a slide-scanning system. In an embodiment, focus points are added to an initialized focus map while acquiring a plurality of image stripes of a sample on a glass slide. For each image stripe, a plurality of frames, collectively representing the image stripe, may be acquired using both an imaging line-scan camera and a tilted focusing line-scan camera. Focus points, representing positions of best focus for trusted frames, are added to the focus map. Outlying focus points are removed from the focus map. In some cases, one or more image stripes may be reacquired. Finally, the image stripes are assembled into a composite image of the sample.

The invention relates to a method and system for optical product authentication, in which a product is labeled with optically active particles, a reference image is recorded in a registration step and a recognition image of the optically active particles is recorded in a recognition step. The product is then authenticated by comparing image data or a coding derived from image data in the registration step versus the recognition step.

An efficient and robust high-speed neural networks for cell image classification is described herein. The neural networks for cell image classification utilize a difference between soft-max scores to determine if a cell is ambiguous or not. If the cell is ambiguous, then the class is classified in a pseudo class, and if the cell is not ambiguous, the cell is classified in the class corresponding to the highest class score. The neural networks for cell image classification enable a high speed, high accuracy and high recall implementation.

A computer-implemented system and method for analyzing a biological sample are disclosed. A sequence of images of the biological sample from an image capture device are received from an image capture device, wherein each image of the sequence of images is acquired at a particular focal plane of the biological sample. In addition, an object map is developed from the sequence of images and the object map is analyzed to measure a three-dimensional characteristic of a particular object. The object map comprises a plurality of object map planes, each object map plane is associated with one image of the sequence of images, and pixels of the object map planes associated with the particular object in the sequence of images are assigned a unique identifier associated with the particular object.

[Object] To provide an information processing apparatus, an information processing method, a program, and an observation system with which images of cells under observation are efficiently captured. [Solving Means] An information processing apparatus according to the present technology includes an image-capture controller unit, an image-capture area classifier unit, and an observation controller unit. The image-capture controller unit controls an image-capture mechanism to capture images of a culture vessel including a plurality of wells that house cells for each image-capture area. The image-capture area classifier unit applies image processing to the images captured by the image-capture mechanism and classifies the plurality of image-capture areas into a first image-capture area of which image-capturing is continued and a second image-capture area of which image-capturing is not continued on the basis of a result of the image processing. The observation controller unit instructs the image-capture controller unit to capture an image of an image-capture area classified as the first image-capture area and not to capture an image of an image-capture area as the second image-capture area.

A digital microscope system comprises an imaging device configured to generate digital image data representing a target region of an object, the target region being determined by a changeable setting of the imaging device; and a controller configured to generate monitor image data corresponding to the digital image data generated in accordance with the setting, the monitor image data being configured to be displayed as a monitor image; wherein the controller is further configured to change the setting in response to a user input; and wherein the controller is further configured to compensate for a delay in updating the monitor image data in accordance with the changed setting by storing the digital image data generated in accordance with the unchanged setting in response to the user input and generating simulation monitor image data by performing digital image processing on the stored digital image data taking into account the changed setting, the simulation monitor image data being configured to be displayed as a simulation monitor image during the delay.

The invention concerns a device for the holographic and hyperspectral measurement and analysis (2) of a sample (3), comprising; —an acquisition means (2) for acquiring a diffracted image (11) of an image of the sample (3); and interference patterns (12) of a reference light signal (R) and the light signal (O) having passed through the sample (3) to be measured and analysed; and—a means for illuminating the sample (3) focused on the sample (3); and—a means for reconstructing and analysing (1) the hyperspectral holographic image comprising a deep convolutional neural network generating an image for analysis and detection of particularities in the sample.

The present embodiments of the invention generally relate to methods for sorting and imaging insects, including egg and larval life stages, useful for automated high throughput bioassays.