Abstract: Image security is becoming an increasingly important issue with the progress of deep learning based image manipulations, such as deep image inpainting and deep fakes. There has been considerable work to date on detecting such image manipulations using better and better algorithms, with little attention being paid to the possible role hardware advances may have for more powerful algorithms. This disclosure proposes to use a focal stack camera as a novel secure imaging device for localizing inpainted regions in manipulated images. Applying convolutional neural network (CNN) methods to focal stack images achieves significantly better detection accuracy compared to single image based detection.

Abstract: In accordance with aspects of the present technology, a unique charge carrier transfer process from c-plane InGaN to semipolar-plane InGaN formed spontaneously in nanowire heterostructures can effectively reduce the instantaneous charge carrier density in the active region, thereby leading to significantly enhanced emission efficiency in the deep red wavelength. Furthermore, the total built-in electric field can be reduced to a few kV/cm by cancelling the piezoelectric polarization with spontaneous polarization in strain-relaxed high indium composition InGaN/GaN heterostructures. An ultra-stable red emission color can be achieved in InGaN over four orders of magnitude of excitation power range. Accordingly, aspects of the present technology advantageously provide a method for addressing some of the fundamental issues in light-emitting devices and advantageously enables the design of high efficiency and high stability optoelectronic devices.

Abstract: Image security is becoming an increasingly important issue with the progress of deep learning based image manipulations, such as deep image inpainting and deep fakes. There has been considerable work to date on detecting such image manipulations using better and better algorithms, with little attention being paid to the possible role hardware advances may have for more powerful algorithms. This disclosure proposes to use a focal stack camera as a novel secure imaging device for localizing inpainted regions in manipulated images. Applying convolutional neural network (CNN) methods to focal stack images achieves significantly better detection accuracy compared to single image based detection.

Abstract: An optical fiber for use in fiber optic sensing of a test sample includes a first core and a second core. The second core is generally coaxially disposed within the first core and is sized smaller than the first core. The second core is capable of delivering pulsed laser energy from the laser for nonlinear optical excitation of the test sample. Nonlinear optical feedback signals can then be collected in both the first core and second core for improved detection efficiency relative to conventional single-mode and multi-mode fibers.

Abstract: A scanning microscope having a laser outputting an excitation laser beam and a fiber member having a first core and a second core. The second core is generally disposed within the first core and is operable to receive the excitation laser beam from the laser and transmit the excitation laser beam to a sample to be tested. A moveable stage supports an end of the fiber member and/or a sample to be tested and is operable to move the end of the fiber member and the sample to be tested relative to each other.

Abstract: A fluorescence detection system for testing a sample having at least one fluorophore. The fluorescence detection system comprises a white light generation system outputting a white light pulse. The white light pulse has a first frequency range and a first time duration. The white light pulse excites the at least one fluorophore of the sample to emit a fluorescence. The fluorescence has a second frequency range and a second time duration, wherein the first time duration is less than the second time duration. A time-resolving detector receives the fluorescence and at least a portion of the white light pulse and separates the fluorescence from the portion of the white light pulse.

Abstract: An optical fiber for use in fiber optic sensing of a test sample includes a first core and a second core. The second core is generally coaxially disposed within the first core and is sized smaller than the first core. The second core is capable of delivering pulsed laser energy from the laser for nonlinear optical excitation of the test sample. Nonlinear optical feedback signals can then be collected in both the first core and second core for improved detection efficiency relative to conventional single-mode and multi-mode fibers.

Abstract: An optical fiber for use in fiber optic sensing of a test sample includes a first core and a second core. The second core is generally coaxially disposed within the first core and is sized smaller than the first core. The second core is capable of delivering pulsed laser energy from the laser for nonlinear optical excitation of the test sample. Nonlinear optical feedback signals can then be collected in both the first core and second core for improved detection efficiency relative to conventional single-mode and multi-mode fibers.

Abstract: An optical fiber for use in fiber optic sensing of a test sample includes a first core and a second core. The second core is generally coaxially disposed within the first core and is sized smaller than the first core. The second core is capable of delivering pulsed laser energy from the laser for nonlinear optical excitation of the test sample. Nonlinear optical feedback signals can then be collected in both the first core and second core for improved detection efficiency relative to conventional single-mode and multi-mode fibers.