An image display method includes the following operations (a) to (e). The (a) is of obtaining a plurality of two-dimensional images by two-dimensionally imaging a specimen, in which a plurality of objects to be observed are present three-dimensionally in the specimen, at a plurality of mutually different focus positions. The (b) is of obtaining image data representing a three-dimensional shape of the specimen. The (c) is of obtaining a three-dimensional image of the specimen based on the image data. The (d) is of obtaining the two-dimensional image selected from the plurality of two-dimensional images or a two-dimensional image generated to be focused on the plurality of objects based on the plurality of two-dimensional images as an integration two-dimensional image. The (e) is of integrating the integration two-dimensional image obtained in the (d) with the three-dimensional image obtained in the (c) and displaying an integrated image on a display unit.

A high-power-microscope-assisted identification method of maize haploid plants is provided, the method is implemented by a device including a high power microscope, a main frame disposed on an objective table of the high power microscope and a computer and includes four procedures of sample information input, automatic testing of a batch of samples, automatic analysis and comparison, and automatic generation of data results. Vertical sliding grooves are symmetrically formed in the main frame, and a vertical supporting plate is disposed at an upper end of the main frame. Horizontal sliding grooves are symmetrically formed in the vertical supporting plate, and a horizontal supporting plate is disposed on the vertical supporting plate.

An observation device includes an illumination optical system and an observation optical system. The illumination optical system includes a light source and an aperture member. The observation optical system includes an objective lens, an optical structure, and a detector. The optical structure is disposed at a first position which is the position conjugate with the aperture member. The optical structure includes a blocking portion that blocks light and a transmitting portion that transmits light, the blocking portion having a shape including the shape of an image of an aperture of the aperture member which is formed on the optical structure. The detector detects dark-field light passing through the optical structure.

In a disclosed example, a computer-implemented method includes storing image data that includes an input image of a blood sample within a blood monitoring device. The method also includes generating, by a machine learning model, a segmentation mask that assigns pixels in the input image to one of a plurality of classes, which correlate to respective known biophysical properties of blood cells. The method also includes extracting cell images from the input image based on the segmentation mask, in which each extracted cell image includes a respective cluster of the pixels assigned to a respective one of the plurality of classes.

In a configuration for analyzing data of cells measured by a cell measuring apparatus, accuracy of cell classification is improved without requiring the cell measuring apparatus to have high information processing capability. A cell analysis method, using a cell analyzer for analyzing cells in accordance with an artificial intelligence algorithm, includes: obtaining the data regarding the cells measured by the cell measuring apparatus; analyzing the data to generate information regarding a cell type of each of the cells; and transmitting the information to the cell measuring apparatus.

A method and/or system can include processing a blood sample of a patient by degrading red blood cells of the blood sample using a lysing solution, quenching the degradation of the red blood cells after a threshold lysing time, centrifuging and aspirating the quenched solution to remove degraded red blood cell debris and concentrate white blood cells of the blood sample, and suspending the concentrated white blood cells in a buffer solution; within a threshold transfer time, deforming white blood cells, of the suspended white blood cells, within a microfluidic chip; and determining a probability that the patient is in an immune activation state based on images of the white blood cells acquired while deforming the white blood cells.

Systems and methods presented herein generally relate to measuring physical lithological features based on calibrated photographs of cuttings and, more specifically, to the analysis of individual cuttings that are identified in the calibrated photographs of the cuttings. For example, the systems and methods presented herein are configured to receive one or more photographs that depict a plurality of cuttings, to identify one or more individual cuttings of the plurality of cuttings depicted in the one or more photographs, to extract morphological, color, texture, grain size, and grain distribution data from each individual cutting of the one or more individual cuttings, to perform lithological classification of the one or more individual cuttings at a plurality of hierarchical levels based at least in part on the extracted morphological, color, texture, grain size, and grain distribution data or based at least in part on features directly extracted from the one or more individual cuttings that represent the morphological, color, texture, grain size, and grain distribution data, and to present a consolidated results summary of the lithological classification of the one or more individual cuttings at the plurality of hierarchical levels via the analysis and control system.

An airborne biological particle monitoring device collects particles floating in air. The monitoring device includes a processor, a camera sensor, and a set of approximately monochromatic illumination sources that correspond to a set of spectral curves. The camera sensor captures images of the particles providing a spectral analysis of the particles. The processor analyzes the images to identify the collected particles.

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.

There is provided a technology that supports selection of a label to be used for analysis of target molecules. The present technology provides a label selection support system including an information acquisition unit that obtains, via a network, information associated with a plurality of target molecules to be analyzed, an information processor that obtains, using the information associated with a plurality of target molecules, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules and generates support information associated with assignment of a label to each of the plurality of target molecules on the basis of the expression information, and a transmitter that transmits the generated support information via the network.