An image processing device includes: a processor including hardware. The processor is configured to: obtain images captured by an imaging element configured to perform imaging at a higher frequency than a vibrational frequency of a subject; detect the vibrational frequency of the subject based on the obtained images; set a selection period that is longer than a vibration period of the subject; sequentially select, from among the obtained images, images to be displayed on a display based on the selection period; and output the selected images.

System and methods are provided for distributed microscopy. A plurality of microscopes may capture images and send them to a media server. The microscopes and the media server may be part of a local area network. The microscopes may each have a distinct network address. The media server may communicate with an operations console, which may be used to view images captured by the microscopes. The operations console may also accept user input which may be used to selectively control the microscopes.

The present invention relates in general to microscopy systems. In particular, the present invention relates to microscopes rendering digital images of samples, with the capability to digitally control the focus of the microscope system, and the software used to control the operation of the digital microscope system. Further, the present invention relates to a microscope structure that allows for compact and multi-functional use of a microscope, providing for light shielding and control with samples that require specific light wavelength characteristics, such as fluorescence, for detection and imaging. The microscope is adjustable, with a structure that can move along range(s) of motion and degree(s) of freedom to allow for ease of access to samples, shielding of samples, and manipulation of a display apparatus.

Methods and systems for controlling a surgical microscope. Moveable optics of the surgical microscope are controlled using two sets of control parameters, to reduce jitter and image instability. Shifts in the image due to changes in temperature or due to the use of optical filter can also be compensated. Misalignment between the mechanical axis and the optical axis of the surgical microscope can also be corrected.

A microscope of the type used by a pathologist to view slides containing biological samples such as tissue or blood is provided with the projection of enhancements to the field of view, such as a heatmap, border, or annotations, substantially in real time as the slide is moved to new locations or changes in magnification or focus occur. The enhancements assist the pathologist in characterizing or classifying the sample, such as being positive for the presence of cancer cells or pathogens.

An auto-focusing system is disclosed. The system includes an illumination source. The system includes an aperture. The system includes a projection mask. The system includes a detector assembly. The system includes a relay system, the relay system being configured to optically couple illumination transmitted through the projection mask to an imaging system. The relay system also being configured to project one or more patterns from the projection mask onto a specimen and transmit an image of the projection mask from the specimen to the detector assembly. The system includes a controller including one or more processors configured to execute a set of program instructions. The program instructions being configured to cause the one or more processors to: receive one or more images of the projection mask from the detector assembly and determine quality of the one or more images of the projection mask.

A system for the detection and classification of live microorganisms in a sample includes a light source and an incubator holding one or more sample-containing growth plates. A translation stage moves the image sensor and/or the growth plate(s) along one or more dimensions to capture time-lapse holographic images of microorganisms. Image processing software executed by a computing device captures time-lapse holographic images of the microorganisms or clusters of microorganisms on the one or more growth plates. The image processing software is configured to detect candidate microorganism colonies in reconstructed, time-lapse holographic images based on differential image analysis. The image processing software includes one or more trained deep neural networks that process the time-lapsed image(s) of candidate microorganism colonies to detect true microorganism colonies and/or output a species associated with each true microorganism colony.

In some embodiments, a method provides a live view mode without scanning a micro optical element array in which successive image(s) are generated, and optionally displayed, that comprise image pixels that represent sample light received from micro optical elements in an array for different, spatially distinct locations in a sample. Images can be of a useful size and resolution to obtain information indicative of a real time sample state. A full image acquisition by scanning a micro optical element array may be initiated when a sample has sufficiently (self-) stabilized. In some embodiments, a method provides images including a stabilization index without scanning a micro optical element array. A stabilization index that represents an empirically derived quantitative assessment of a degree of stabilization may be determined (e.g., calculated) for sample light received from for one or more micro optical elements each represented by one or more image pixels in an image.

A deep-ultraviolet microscopy system includes a light source for outputting a light beam for illuminating a biological sample, the light beam being inclusive of ultraviolet wavelengths; a reception space for reception of a biological sample for illumination by the light beam; an ultraviolet microscope objective for collecting and relaying light that interacts with the biological sample to an image capture device; and an ultraviolet sensitive image capture device for capturing images of the biological sample, with the microscopy system configured to capture multiple images of the biological sample at one or more ultraviolet wavelengths. A method of processing ultraviolet images of biological samples includes receiving a plurality of multi-spectral ultraviolet images of a biological sample; normalizing and scaling the images; and assigning each image to a channel in the RGB color-space based on wavelength.

A system and method for high resolution multi-fluorescence imaging with synchronized image acquisition amongst sensors can be used to simultaneously capture fluorescence signals from multiple fluorophores over extremely large fields of view. The system can include an array of micro-cameras, along with a particular arrangement of fluorescent filters that can be fixed in one location or moved to new locations.