Abstract: A computer implemented method, an imaging device, an image reconstruction system and a computer program product, for calibrating system parameters of the image reconstruction system are provided, and include obtaining low resolution captured images by illuminating a sample with light source(s), obtaining a high resolution representation of the captured images based on the system parameters and the captured images, generating an approximate function based on the high resolution representation and the captured images, wherein the approximate function is a function of system parameters, and generating an updated set of system parameters by optimizing the approximate function. The computer implemented method, the imaging device, the image reconstruction system and the computer program product enhance speed of calibration of the image reconstruction system by orders of magnitude, thereby, enabling noise and artifact free microscopic imaging in a robust way for the lifetime of the microscope.

Abstract: A system and method for enhancing power flow analysis convergence are provided. The method includes receiving a first power system artifact from one or more systems associated with a power system. The first power system artifact includes a plurality of data elements associated with the power system at a given time instant. The method further includes extracting a dataset from an archival system. The dataset is extracted based on one or more appropriate data elements selected from the plurality of data elements. The method further includes determining from the extracted dataset a prediction of initial conditions for the power flow analysis using a machine learning algorithm and assigning target variables of the predicted initial conditions to the first power system artifact. Thereafter, the method includes performing the power flow analysis on the first power system artifact using the assigned target variables.

Abstract: A method and a system for processing medical images are provided. In one aspect, the method includes receiving the medical image, wherein the medical image includes a plurality of objects, and wherein the medical image is a low-resolution image. Further, the method includes segmenting at least one object from the plurality of objects from the medical image. Additionally, the method includes identifying at least one region of interest in the medical image, wherein the region of interest includes the at least one object, and wherein the at least one object is clinically relevant. Furthermore, the method includes generating a high-resolution image of the region of interest. The method also includes displaying the high-resolution image of the region of interest on a display unit.

Abstract: A method, device and system for enhancing image quality of an image is provided. In one aspect, the method includes illuminating a sample with a light source associated with an imaging device. Further, the method includes simulating a transmission wave at a sensor plane of the imaging device for a light wave from illuminating the sample. Additionally, the method includes determining a phase and amplitude information associated with the light wave based on the transmission wave. The method also includes determining at least one microscope transfer function associated with the imaging device based on the phase and amplitude information. Furthermore, the method includes generating a modified mi-croscope transfer function using a Zernike function based on the at least one microscope transfer function in an iterative procedure and enhancing the image quality associated with the im-age using the modified microscope transfer function.