A system for monitoring vital signs includes: an imaging device for acquiring video image files of a living individual; a data analysis system including a processor and memory; a computer program running in the data analysis system to automatically analyze the video images, autonomously identify an area in the images where periodic movements associated with a selected vital sign may be detected and quantified; and, an interface that outputs an electrical signal corresponding to the waveform of the selected vital sign. The system may include a Graphical User Interface, which may display a visual graph of the waveform and a single video frame or a video stream of the individual.

An imaging apparatus includes an imaging unit that images, in a time series order, each of a first biological sample having undergone a first process and a second biological sample which has undergone a second process and is of the same type as the type of the first biological sample, and an imaging interval setting portion that acquires a first image obtained by imaging the first biological sample, and a second image obtained by imaging the second biological sample at the same timing as a timing of the first biological sample, and sets an imaging interval of the first and the second biological sample on the basis of a difference between feature data of the first image and feature data of the second image or a change amount of the difference, in which the imaging unit images the first and the second biological sample by using the imaging interval.

The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

A computer method for correlating depictions of colonies of microorganisms includes receiving an image of a substrate associated with a first time and showing a colony of microorganisms. A second image of the same substrate and associated with a second time shows a candidate colony of microorganisms. A region of the second image that shows the candidate colony of microorganisms is located. The first region of the first image is compared to the second region of the second image. Based on the comparison of the images, the candidate colony of microorganism is determined to be the same colony as the first colony of microorganisms. Systems for moving substrates having colonies of microorganisms and maintaining orientation of the substrates before and after movement are also described.

Methods and corresponding apparatus and systems for assessing cellular metabolic activity are disclosed. In one aspect, a cell can be illuminated with optical radiation in order to cause multi-photon excitation of at least one endogenous metabolic cofactor in that cell and cause the excited metabolic cofactor to emit fluorescent radiation. A detector can be used to detect the fluorescent radiation emitted by the excited endogenous metabolic cofactor. A computer processor can analyze the fluorescent radiation to derive the following parameters: (1) using a computer processor to analyze the intensity of the fluorescent radiation, (2) a fluorescence lifetime of at least one of the excited metabolic cofactor, (3) a parameter indicative of mitochondrial clustering in said cell. These parameters can be used to assess at least one metabolic process of the cell.

The present invention provides devices, systems, and methods, for performing biological and chemical assays.

The invention provides a technology for promptly determining bacterial identification or an antimicrobial susceptibility testing. In the invention, first, a state where the bacteria are divided is monitored by performing microscopic observation with respect to the shape or the number of bacteria in each of wells of a culture plate for bacterial identification culture or the antimicrobial susceptibility testing. In addition, the shape, the number or the area of the bacteria are interpreted from the image obtained by the microscopic observation whether or not the bacteria proliferate at a stage from an induction phase to a logarithmic phase, and the time-dependent changes thereof are made into a graph. From the graph, it is determined whether or not the bacteria proliferate for each measurement, the determination results are displayed on the screen, and accordingly, the result of the antimicrobial susceptibility is provided every time when the measurement is performed.

Disclosed are systems, methods, and computer program products for tumor lesion identification, segmentation, tracking and analysis, wherein a 3D spatial distribution of the tumor lesions in a target organ forms a unique 3D point structure for a patient.

Super resolution and color motion artifact correction in a pulsed hyperspectral imaging system. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation with a pixel array of an image sensor to generate a plurality of exposure frames. The method includes detecting motion across two or more sequential exposure frames, compensating for the detected motion, and combining the two or more sequential exposure frames to generate an image frame. The method is such that at least a portion of the plurality of pulses of electromagnetic radiation emitted by the emitter comprises one or more of electromagnetic radiation having a wavelength from about 513 nm to about 545 nm, from about 565 nm to about 585 nm, or from about 900 nm to about 1000 nm.