Abstract: An imaging system includes a focal plane array, readout electronics, and a computing system in which the number of active pixels is either set at a low-fraction of the total pixels thereby reducing the effect of radiation damage, or radiation damage over time is detected and automatically compensated. Machine learning is used to identify radiation damaged pixels and damaged regions which are subsequently eliminated and replaced by the computational system. The machine learning is used to identify changes in the fixed pattern signal/noise and/or noise of the system, and is then computationally corrected.

Abstract: A process for the post-deposition treatment of colloidal quantum dot films to improve photodetector performance. A colloidal quantum dot film is first deposited on a suitable substrate or device structure, given a ligand exchange, and then allowed to dry into a completed film. Next, a solution is prepared consisting of dilute H2O2 mixed with a polar solvent such as isopropyl alcohol solution. The prepared film and substrate are then immersed into the prepared solution over a set interval of time. After which, the film is removed and rinsed with solvent, then dried with clean N2 gas. After this treatment, the colloidal quantum dot film is ready for use as a photodetector.

Abstract: A method of substantially real-time image restoration of an infrared camera includes the steps of: analyzing the last X number of video frames; classifying the last X number of video frames as to the source of noise in the last X number of video frames; selecting a noise suppression transform based on the source of the noise; receiving real time video frames; correcting the real time video frames using the selected noise suppression transform.

Abstract: A method uses inpainting, whereby the ability to optimize the reconstruction of images at high resolution and sensitivity with minimal pixels is hard wired into the IRFPA. By combining several of these systems, or by selecting different pixels in the array to form images of different colors, hyperspectral images and 3-D tomograms can also be obtained with a significantly smaller number of pixels.

Abstract: A hyperspectral infrared imaging system includes optical components, multi-color focal plane array or arrays, readout electronics, control electronics, and a computing system. The system measures a limited number of spatial and spectral points during image capture and the full dataset is computationally generated.

Abstract: An apparatus and method to assist making treatment decisions for burn injuries. The apparatus will leverage computational imaging methodologies with conventional thermographic analysis techniques. Using infrared sensors, computational image analysis, and burn assessment using thermographic imaging, a complete burn assessment imaging device can be fabricated entirely from commercially-available components. This device will use advanced software paired with a smartphone-mounted infrared camera to perform a detailed thermographic analysis using a burn triage algorithm.

Abstract: An imaging system includes a focal plane array, readout electronics, and a computing system in which the number of active pixels is either set at a low-fraction of the total pixels thereby reducing the effect of radiation damage, or radiation damage over time is detected and automatically compensated. Machine learning is used to identify radiation damaged pixels and damaged regions which are subsequently eliminated and replaced by the computational system. The machine learning is used to identify changes in the fixed pattern signal/noise and/or noise of the system, and is then computationally corrected.

Abstract: A process for the post-deposition treatment of colloidal quantum dot films to improve photodetector performance. A colloidal quantum dot film is first deposited on a suitable substrate or device structure, given a ligand exchange, and then allowed to dry into a completed film. Next, a solution is prepared consisting of dilute H2O2 mixed with a polar solvent such as isopropyl alcohol solution. The prepared film and substrate are then immersed into the prepared solution over a set interval of time. After which, the film is removed and rinsed with solvent, then dried with clean N2 gas. After this treatment, the colloidal quantum dot film is ready for use as a photodetector.