Abstract:
Provided is a microscope system including a motor-driven stage on which is mounted a culture vessel containing one or more cell clusters, each including cells having a target molecule labeled with a fluorescent or luminescent chemical; a low-magnification-image acquiring unit that acquires low-magnification images of the cell clusters in the culture vessel mounted on the stage; a detecting unit that detects the position of each cell cluster in the culture vessel by analyzing the acquired low-magnification images; and a high-magnification-image acquiring unit that, after the detected position is aligned with the optical axis of an objective lens, acquires slice images of fluorescence or luminescence emitted from the cells forming the cell cluster at a higher magnification than the low-magnification-image acquiring unit at intervals along the optical axis while the stage and/or the lens is moved to change stepwise the distance between the lens and the cell cluster.
Abstract:
An image having an expected superresolution effect is created in a straightforward manner and with superior precision. The invention provides a scanning laser microscope including a scanner that scans a laser beam emitted from an Ar laser device on a specimen; an objective lens that radiates the laser beam scanned by the scanner onto the specimen and that collects return light coming from the specimen; a detector array that has a plurality of minute detector elements arrayed at a position that is optically conjugate with the focal position of the objective lens; and a superresolution calculating portion that calculates a center position of a spot of the return light that is incident on the detector array on the basis of a light intensity signal output from each of the minute detector elements in the detector array.
Abstract:
Visual observation of morphological features of a cell group or individual cells acquired in 3D image data is facilitated, thus improving observation accuracy. Provided is an image processing device that generates, on the basis of a plurality of 2D images acquired by a microscope at different focus positions on a cell clump, 3D images of respective cells constituting the cell clump, that processes the generated 3D images and analyzes feature amounts on the basis of at least one measurement parameter, that displays analysis results in a graph, that allows a user to select a region of interest on the displayed graph, and that generates, from the 3D images that correspond to the plurality of cells that are included in the selected region of interest, 2D display images each in a plane with reference to an axis that is determined on the basis of a shape feature of the corresponding cell and displays the 2D display images in a list.
Abstract:
A good super-resolution image can be generated, while eliminating a troublesome task necessary for generating a raw image. Provided is a sample observation apparatus including a memory, which stores a first number of photoelectrons required in a raw image for generating a super-resolution image, and a main controller, which calculates the number of image data sets to be added together for generating the raw image based on the first number of photoelectrons stored in the memory and a predetermined image acquisition condition, which acquires multiple sets of image data of the same region of a sample by repeatedly detecting light from the same region based on the calculated number of image data sets, and which generates the raw image by adding together the acquired multiple sets of image data of the same region.
Abstract:
A superior superresolution image can be generated. Provided is a specimen observation apparatus including an objective lens that radiates excitation laser light emitted from a light source onto a specimen; and a main controller that obtains a plurality of sets of image data of the same region on the specimen by repeatedly detecting fluorescence from the same region on the specimen irradiated with the excitation laser light by the objective lens, and that emphasizes high-frequency components in an addition image data obtained by adding the obtained plurality of sets of image data of the same region on the specimen.