Abstract:
A method and system for color calibration for digital microscopy includes obtaining an image of a stained sample and obtaining a desired stain type and density information. A synthesizing spectral absorption is determined based on the desired stain type and density, and a digital image is produced from the image of the stained sample based on a spectral absorption of the desired stain type, density, and a light source. The image is then outputted to a storage medium or display. The method also includes estimating a stain type used in the image of the stained sample, and estimating a density of the stained sample.
Abstract:
A light emitting device includes a substrate layer, a first electrode layer, a light emitting layer, and a patterned second electrode layer. The patterned second electrode layer includes a periodic grating structure having a grating period λg less than or equal to 200 nm and the patterned second electrode layer and the light emitting layer are separated by at most 100 nm.
Abstract:
A light emitting device includes a substrate layer, a first electrode layer, a light emitting layer, and a patterned second electrode layer. The patterned second electrode layer includes a periodic grating structure having a grating period λg less than or equal to 200 nm and the patterned second electrode layer and the light emitting layer are separated by at most 100 nm.
Abstract:
A method for displaying a main image includes: populating a plurality of image entries in a video frame based on the main image; selecting an image entry specifying a first color; determining a compensation entry of a plurality of compensation entries in the video frame associated with the image entry; selecting a second color based on the first color; setting the compensation entry to the second color; and outputting the video frame with the image entry and the compensation entry for display on a display device.
Abstract:
A method, a computer program product, and a system are disclosed for stitching aerial data using information from at least one previous image. The method includes capturing a plurality of images of the landscape; obtaining, image metadata for each of the captured images; generating, for each of the captured images, a set of transformed images based on the image metadata, comprises: setting a variable for each of the parameters; preparing a plurality of sets of transformed image metadata by applying the variables to the parameters; and preparing the set of transformed images from the captured image based on the plurality of sets of transformed image metadata, respectively; identifying, for each set of transformed images, one of the transformed images by calculating quality of fit to the top level image for each of the transformed images; and assembling a new aerial image based on the plurality of the identified transformed images.
Abstract:
A method for encoding a monochrome or color image. The method includes receiving an image and adjusting the image based on a global uniform macro-type color space. The image is modified spatially based on a local uniform micro-type edge characteristic that includes a just-noticeable difference (JND), and the image is outputted.
Abstract:
A method for encoding a monochrome or color image. The method includes receiving an image and adjusting the image based on a global uniform macro-type color space. The image is modified spatially based on a local uniform micro-type edge characteristic that includes a just-noticeable difference (JND), and the image is outputted.
Abstract:
A method for displaying a main image includes: populating a plurality of image entries in a video frame based on the main image; selecting an image entry specifying a first color; determining a compensation entry of a plurality of compensation entries in the video frame associated with the image entry; selecting a second color based on the first color; setting the compensation entry to the second color; and outputting the video frame with the image entry and the compensation entry for display on a display device.
Abstract:
A system and method for multi-spectral gas concentration analysis that includes using a library of multiple sets of optimized spectral sensitivities prepared in advance, and a multi-spectral IR gas analyzer tuned to a set of optimized spectral sensitivity. The multi-spectral IR gas analyzer measures spectral absorption of gas using one or more different sets of optimized spectral sensitivities.
Abstract:
A method and system for color calibration for digital microscopy includes obtaining an image of a stained sample and obtaining a desired stain type and density information. A synthesizing spectral absorption is determined based on the desired stain type and density, and a digital image is produced from the image of the stained sample based on a spectral absorption of the desired stain type, density, and a light source. The image is then outputted to a storage medium or display. The method also includes estimating a stain type used in the image of the stained sample, and estimating a density of the stained sample.