Abstract: The disclosure provides a method of determining a desired set of parameters for an imaging system to image a sample, comprising: choosing a first set of parameters for the imaging system; simulating light scattering properties of the sample when imaging the sample using the imaging system having the first set of parameters; determining a first SNR when imaging the sample using the imaging system having the first set of parameters; choosing a second set of parameters for the imaging system; simulating light scattering properties of the sample when imaging the sample using the imaging system having the second set of parameters; determining a second SNR when imaging the sample using the imaging system having the second set of parameters; determining a desired SNR, the desired SNR being the greater of the first SNR and second SNR; and selecting a desired set of parameters corresponding to the desired SNR.

Abstract: An exemplary embodiment of the present disclosure provides a method of virtually staining a biological sample, comprising: obtaining one or more UV images of the biological sample; generating a virtually stained image of the biological sample, comprising: generating a first data set for the one or more images, the first data set comprising at least one data value for each pixel of the one or more UV images; inputting the first data set into a deep learning neural network to generate one or more additional data sets, the one or more additional data sets comprising at least one data value corresponding to a value in a color model for each pixel in the one or more UV images; and creating virtually stained image of the biological sample using at least the one or more additional data sets.

Abstract: An exemplary embodiment of the present disclosure provides a live cell imaging system, comprising a substrate, a UV light source, and a UV camera. The substrate can have a cavity configured to hold a sample. The sample can comprise one or more live cells. The substrate can be made, at least in part, out of polydimethylsiloxane (PDMS). The UV light source can be configured to direct UV light to the sample. The UV camera can be configured to take a UV image of the sample.

Abstract: A deep-ultraviolet microscopy system includes a light source for outputting a light beam for illuminating a biological sample, the light beam being inclusive of ultraviolet wavelengths; a reception space for reception of a biological sample for illumination by the light beam; an ultraviolet microscope objective for collecting and relaying light that interacts with the biological sample to an image capture device; and an ultraviolet sensitive image capture device for capturing images of the biological sample, with the microscopy system configured to capture multiple images of the biological sample at one or more ultraviolet wavelengths. A method of processing ultraviolet images of biological samples includes receiving a plurality of multi-spectral ultraviolet images of a biological sample; normalizing and scaling the images; and assigning each image to a channel in the RGB color-space based on wavelength.

Abstract: Current apparatuses and methods for analysis of spectroscopic optical coherence tomography (SOCT) signals suffer from an inherent tradeoff between time (depth) and frequency (wavelength) resolution. In one non-limiting embodiment, multiple or dual window (DW) apparatuses and methods for reconstructing time-frequency distributions (TFDs) that applies two windows that independently determine the optical and temporal resolution is provided. For example, optical resolution is provided. For example, optical resolution may relate to scattering information about a sample, and temporal resolution may be related to absorption or depth related information. The effectiveness of the apparatuses and methods is demonstrated in simulations and in processing of measured OCT signals that contain fields which vary in time and frequency. The DW technique may yield TFDs that maintain high spectral and temporal resolution and are free from the artifacts and limitations commonly observed with other processing methods.

Abstract: Current apparatuses and methods for analysis of spectroscopic optical coherence tomography (SOCT) signals suffer from an inherent tradeoff between time (depth) and frequency (wavelength) resolution. In one non-limiting embodiment, multiple or dual window (DW) apparatuses and methods for reconstructing time-frequency distributions (TFDs) that applies two windows that independently determine the optical and temporal resolution is provided. For example, optical resolution is provided. For example, optical resolution may relate to scattering information about a sample, and temporal resolution may be related to absorption or depth related information. The effectiveness of the apparatuses and methods is demonstrated in simulations and in processing of measured OCT signals that contain fields which vary in time and frequency. The DW technique may yield TFDs that maintain high spectral and temporal resolution and are free from the artifacts and limitations commonly observed with other processing methods.

Abstract: Current apparatuses and methods for analysis of spectroscopic optical coherence tomography (SOCT) signals suffer from an inherent tradeoff between time (depth) and frequency (wavelength) resolution. In one non-limiting embodiment, multiple or dual window (DW) apparatuses and methods for reconstructing time-frequency distributions (TFDs) that applies two windows that independently determine the optical and temporal resolution is provided. For example, optical resolution may relate to scattering information about a sample, and temporal resolution may be related to absorption or depth related information. The effectiveness of the apparatuses and methods is demonstrated in simulations and in processing of measured OCT signals that contain fields which vary in time and frequency. The DW technique may yield TFDs that maintain high spectral and temporal resolution and are free from the artifacts and limitations commonly observed with other processing methods.

Abstract: Current apparatuses and methods for analysis of spectroscopic optical coherence tomography (SOCT) signals suffer from an inherent tradeoff between time (depth) and frequency (wavelength) resolution. In one non-limiting embodiment, multiple or dual window (DW) apparatuses and methods for reconstructing time-frequency distributions (TFDs) that applies two windows that independently determine the optical and temporal resolution is provided. For example, optical resolution may relate to scattering information about a sample, and temporal resolution may be related to absorption or depth related information. The effectiveness of the apparatuses and methods is demonstrated in simulations and in processing of measured OCT signals that contain fields which vary in time and frequency. The DW technique may yield TFDs that maintain high spectral and temporal resolution and are free from the artifacts and limitations commonly observed with other processing methods.