Methods and systems are provided for improving resolution, acquisition speed, and/or illumination dose for microscopy systems. In some embodiments, a microscopy system having multiple objective setups may include illumination generators to provide selectively-blanked illumination line scans, objective lenses to introduce the selectively-blanked illumination line scans to a sample and to collect fluorescence emissions from the sample, and detectors to receive the fluorescence emissions from the objective lenses. The microscopy system may also include one or more processors in operative communication with the detectors, which may combine the fluorescence emissions to generate a composite image.

A method for obtaining a Fourier ptychography image using a smartphone comprises the steps of: (a) sequentially providing illumination of different angles to the sample by sequentially displaying, according to a first pattern composed of point light sources at different positions, the point light sources of the first pattern on a display of the smartphone; (b) obtaining an image for each illumination angle of the sample using a camera of the smartphone whenever illumination of different angles is provided by the point light sources of the first pattern; and (c) restoring a first Fourier ptychography image using a plurality of images for each illumination angle obtained using the camera of the smartphone.

In a sample observation device, an image acquisition unit 6 acquires a plurality of pieces of image data of a sample in a Y-axis direction, and an image generation unit generates luminance image data on luminance of the sample on the basis of the plurality of pieces of image data, binarizes luminance values of each of the plurality of pieces of image data to generate a plurality of pieces of binarized image data, and generates area image data on an existing area of the sample on the basis of the plurality of pieces of binarized image data.

A method for analyzing 2D material thin film and a system for analyzing 2D material thin film are disclosed. The detection method includes the following steps: capturing sample images of 2D material thin films; measuring the 2D material thin films by a Raman spectrometer; performing a visible light hyperspectral algorithm on the sample images by a processor to generate a plurality of visible light hyperspectral images; performing a training and validation procedure, performing an image feature algorithm on the visible light hyperspectral images, and establishing a thin film prediction model based on a validation; and capturing a thin-film image to be measured by the optical microscope, performing the visible light hyperspectral algorithm, and then generating a distribution result of the thin-film image to be measured according to an analysis of the thin film prediction model.

The technology disclosed present systems and methods to produce an enhanced resolution image from images of a target using structured illumination microscopy (SIM). The method includes transforming at least three images of the target captured by a sensor in a spatial domain into a Fourier domain to produce at least three frequency domain matrices that each include first blocks of complex coefficients and redundant second blocks of complex coefficients that are conjugates to the first blocks. The method includes reducing computing resources required to produce the enhanced resolution image by using first blocks of complex coefficients to produce at least three phase-separated half-matrices in the Fourier domain. The method includes performing one or more intermediate transformation on the phase-separated half-matrices to produce realigned shifted half-matrices. The method includes calculating complex coefficients of second blocks in the Fourier domain to produce full matrices from half-matrices.

Provided is a tool wear monitoring device configured to input a plurality of pieces of image data captured with a microscope camera while changing an angle, and to monitor tool wear. The tool wear monitoring device includes a data analysis unit configured to analyze image data. The data analysis unit binarizes the plurality of pieces of image data captured while changing an angle, extracts data in which a worn region has a maximum area among the plurality of pieces of image data, and analyzes the amount of wear from the extracted data with the maximum area.

Systems and methods are provided for Quantitative Phase Microscopes (QPM) having laser systems including one or more of laser scissors and laser tweezers. In one embodiment, the system includes one or more structural elements, such as a stage and dichroic plate for operation of a QPM with laser scissors/tweezers. Another embodiment is directed to a method of operating a QPM system having laser scissors/tweezers. One or more solutions are provided for biodmedical applications of a QPM system including simulation and analysis of trauma on cellular structures and organelles. Processes are also provided for simulation and analysis of traumatic injury, including imaging and analysis of astrocytes.

A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.

In an image acquisition device, when capturing an optical image of a sample S through lane scanning, the number of tile images T included in a tile image row R acquired in one lane is counted, and a determination is made as to whether or not the number of images reaches a planned acquisition count that is set in advance. In a case where it is determined that the number of images does not reach the planned acquisition count, lane scanning with respect to the lane is re-executed. Accordingly, even when a loss of the tile images T occurs due to an environment load, the tile images T are complemented by re-execution of the lane scanning, and thus it is possible to prevent the loss of the tile images T in an observation image.

A method is provided comprising: positioning a slide that includes a concave region that is formed in a top surface of the slide and that can contain an object, such that a focal point of an objective lens of a fluorescence lifetime imaging microscopy (FLIM) device is within an area of the concave region between a bottom surface of the concave region and the top surface of the slide; and using the FLIM device to capture a sequence of wide field images of a portion of the object within a field of view of the objective lens.