Abstract: An image analysis method includes acquiring images of spatially different analysis regions. Each of the images of the analysis regions is constituted by pixels including a plurality of data acquired simultaneously or time-serially. The method further includes obtaining a cross-correlation between two analysis regions by using data of pixels of images of the analysis regions.

Abstract: An image analysis method includes acquiring fluorescent images of frames in time-series. Each fluorescent image comprises pixels in which pixel data are acquired in the time-series. The method further includes setting analysis areas to the acquired fluorescent images, calculating a classification value of the analysis areas, classifying the images into one or more groups on the basis of the classification value, calculating an average image of the analysis area every group, subtracting the average image from each image of the analysis area every group to calculate a new image of the analysis area, and calculating a correlation value on the basis of the new images every group.

Abstract: An image analysis method includes acquiring fluorescent images of frames in time-series. Each fluorescent image comprises pixels in which pixel data are acquired in the time-series. The method further includes setting analysis areas to the fluorescent images, selecting the fluorescent images of two or more frames to be used in analysis, extracting data pairs each comprising two pixels in which acquisition time intervals are the same in the analysis area of each of the selected fluorescent images, and performing product sum calculation of each of the data pairs for all of the selected images to calculate a correlation value.

Abstract: An image analysis method includes acquiring an image of at least one frame that comprises pixels, setting at least one analytic region for the image of at least one frame, extracting data on the pixel corresponding to each analytic region, setting time intervals for data pairs for use in correlation calculations, performing a correlation calculation for each of the time intervals by use of the extracted data, and performing a fitting for each of the correlation calculation results.

Abstract: An image analysis method includes acquiring images of spatially different analysis regions. Each of the images of the analysis regions is constituted by pixels including a plurality of data acquired simultaneously or time-serially. The method further includes obtaining a cross-correlation between two analysis regions by using data of pixels of images of the analysis regions.

Abstract: An image analysis method includes acquiring images of spatially different analysis regions. Each of the images of the analysis regions is constituted by pixels including a plurality of data acquired simultaneously or time-serially. The method further includes obtaining a cross-correlation between two analysis regions by using data of pixels of images of the analysis regions.

Abstract: An image analysis method includes acquiring an image of at least one frame that comprises pixels, setting at least one analytic region for the image of at least one frame, extracting data on the pixel corresponding to each analytic region, setting time intervals for data pairs for use in correlation calculations, performing a correlation calculation for each of the time intervals by use of the extracted data, and performing a fitting for each of the correlation calculation results.

Abstract: An image analysis method includes acquiring an image of an observation region including a plurality of pixels respectively having a plurality of time serially acquired data, setting an analysis region on the image of the observation region, setting a sub analysis region smaller than the analysis region, intermittently moving the sub analysis region in increments of a pixel interval over the entire analysis region, executing correlation analysis using data of pixels in the sub analysis region every time the sub analysis region is moved, so as to estimate at least a molecular number or a diffusion constant of the sub analysis region, and forming a molecular number or diffusion constant image by mapping the molecular numbers or the diffusion constants.

Abstract: An image analysis method includes acquiring fluorescent images of frames in time-series. Each fluorescent image comprises pixels in which pixel data are acquired in the time-series. The method further includes setting analysis areas to the acquired fluorescent images, calculating a classification value of the analysis areas, classifying the images into one or more groups on the basis of the classification value, calculating an average image of the analysis area every group, subtracting the average image from each image of the analysis area every group to calculate a new image of the analysis area, and calculating a correlation value on the basis of the new images every group.

Abstract: An image analysis method includes acquiring fluorescent images of frames in time-series. Each fluorescent image comprises pixels in which pixel data are acquired in the time-series. The method further includes setting analysis areas to the fluorescent images, selecting the fluorescent images of two or more frames to be used in analysis, extracting data pairs each comprising two pixels in which acquisition time intervals are the same in the analysis area of each of the selected fluorescent images, and performing product sum calculation of each of the data pairs for all of the selected images to calculate a correlation value.

Abstract: An image analysis method includes acquiring an image of an observation region including a plurality of pixels respectively having a plurality of time serially acquired data, setting an analysis region on the image of the observation region, setting a sub analysis region smaller than the analysis region, intermittently moving the sub analysis region in increments of a pixel interval over the entire analysis region, executing correlation analysis using data of pixels in the sub analysis region every time the sub analysis region is moved, so as to estimate at least a molecular number or a diffusion constant of the sub analysis region, and forming a molecular number or diffusion constant image by mapping the molecular numbers or the diffusion constants.

Abstract: A fluorescent signal analyzing apparatus includes an image input unit, a storage unit, an extracting unit, and an analyzing unit. At least one fluorescent image of a sample is input to the input unit. The storage unit stores data on the at least one fluorescent image input to the image input unit. The extracting unit extracts, for each of the fluorescent images, data on a fluorescence intensity in a desired region on the at least one fluorescent image from the data on the at least one fluorescent image stored in the storage unit. The analyzing unit calculates at least one of a correlation and a photon counting histogram for the desired region by use of the data on the fluorescence intensity.

Abstract: An optical signal analysis apparatus includes a photodetector and an analyzer. The photodetector is to detect light emitted from measurement points in a sample. The analyzer is to analyze a molecular interaction between two of the measurement points by using fluctuation signals corresponding to fluctuations of the light from the measurement points that are detected by the photodetector.

Abstract: An image analysis method includes acquiring images of spatially different analysis regions. Each of the images of the analysis regions is constituted by pixels including a plurality of data acquired simultaneously or time-serially. The method further includes obtaining a cross-correlation between two analysis regions by using data of pixels of images of the analysis regions.

Abstract: A fluorescent signal analyzing apparatus includes an image input unit, a storage unit, an extracting unit, and an analyzing unit. At least one fluorescent image of a sample is input to the input unit. The storage unit stores data on the at least one fluorescent image input to the image input unit. The extracting unit extracts, for each of the fluorescent images, data on a fluorescence intensity in a desired region on the at least one fluorescent image from the data on the at least one fluorescent image stored in the storage unit. The analyzing unit calculates at least one of a correlation and a photon counting histogram for the desired region by use of the data on the fluorescence intensity.

Abstract: An optical signal analysis apparatus includes a photodetector and an analyzer. The photodetector is to detect light emitted from measurement points in a sample. The analyzer is to analyze a molecular interaction between two of the measurement points by using fluctuation signals corresponding to fluctuations of the light from the measurement points that are detected by the photodetector.

Abstract: A fluorescence spectroscopy apparatus includes an excitation optical system, a fluorescence detector, a signal processor, and a computer. The excitation optical system alternately applies light beams with different wavelengths or different intensities to a specific region of a sample at shifted times. The fluorescence detector detects fluorescence generated from the sample. The signal processor performs signal processing for a signal detected by the fluorescence detector. The computer performs correlation analysis on a signal generated by the signal processor.