Hyperspectral imaging (HSI) is a technique that reveals hidden information that cannot be seen by the human eye or conventional cameras. However, HSI also poses many challenges such as high data dimensionality, complex signal processing and interpretation, and expensive hardware and software requirements. cuvis.ai is a new open source platform and scientific community that aims to make HSI more accessible, affordable and applicable for everyone. cuvis.ai leverages the power of modern AI concepts to unleash the full potential of HSI. We demonstrate the usefulness of cuvis.ai with three state-of-the-art applications of machine learning in HSI: detecting Alzheimer’s disease, providing surgical guidance, and diagnosing melanoma.
The propagation of different focused beams (e.g., Gaussian or quasi-Bessel beams) through scattering media is studied. The finite-difference time-domain method, a numerical solution of Maxwell’s equations, is applied to propagate the light beams in two dimensions. The focused beams are modeled by applying the angular spectrum of the plane waves method. The results show that weakly focused beams exhibit comparable performance to strongly focused beams in delivering focused light deep into scattering media.
A severe drawback to the scalar Monte Carlo (MC) method is the difficulty of introducing diffraction when simulating light propagation. This hinders, for instance, the accurate modeling of beams focused through microscope objectives, where the diffraction patterns in the focal plane are of great importance in various applications. Here, we propose to overcome this issue by means of a direct extinction method. In the MC simulations, the photon paths’ initial positions are sampled from probability distributions which are calculated with a modified angular spectrum of the plane waves technique. We restricted our study to the two-dimensional case, and investigated the feasibility of our approach for absorbing yet nonscattering materials. We simulated the focusing of collimated beams with uniform profiles through microscope objectives. Our results were compared with those yielded by independent simulations using the finite-difference time-domain method. Very good agreement was achieved between the results of both methods, not only for the power distributions around the focal region including diffraction patterns, but also for the distribution of the energy flow (Poynting vector).
Knowledge of the impact of potential sources of error in spatial frequency domain imaging (SFDI) is essential for the quantitative characterization of absorption and scattering in tissue and other turbid media. We theoretically investigate the error in the derived absorption and scattering parameter, subject to typical experimental and theoretical sources of errors. This provides a guideline to properly assess the significance of various parameters related to the measurement and the theoretical evaluation of spatial frequency domain reflectance data. At the same time, this study serves as a reference to estimate the overall precision of derived optical parameters of semi-infinite scattering media using SFDI.
The optical coherence tomography (OCT) is an important technology for non-invasive, in vivo medical diagnostics. It enables the high-resolution recording of two-dimensional tomograms or three-dimensional volumes of biological tissue. Two mechanisms help separating the signal from the scattering background. First, reflected or backscattered light from outside the focal spot is suppressed by confocal discrimination. Additionally, the signal modulation is enhanced due to identical optical path lengths of both branches of the white light interferometry setup. Since the OCT relies on the interference between reference light and scattered light, this method cannot be readily extended for fluorescence measurements.
An alternative approach is the confocal fluorescence microscopy, which uses confocal microscopy to suppress the fluorescent light from outside the focal spot. Hence, only the fluorescent light in the focal plane, which is 3 to 4 magnitudes lower in intensity than the excitation light, is detected. However, the surrounding area is illuminated with full intensity, which might cause photo-bleaching. There are also other promising approaches such as the two-photon excitation microscopy or fluorescence lifetime microscopy, which we will not cover in more detail.
For fluorescence measurements of strongly-scattering samples such as biological tissue but also for technical surfaces, we propose a structured white-light illumination. We present two different approaches for the sample illumination utilizing a white light laser or a white light LED, respectively. We show first simulations of the individual illumination setups and their impact on the scattering within the sample. Furthermore, we investigated the distribution of the fluorescent light that reaches the detection part of the device when excited within a scattering medium, for this purpose we implemented a novel fast-converging algorithm for conditional fluence rate in our Monte Carlo algorithm.
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