Abstract: Methods and systems for automatically adjusting a sample position in a spectrometer, such as a Fourier-transform infrared (FTIR) spectrometer, are described. The sample may be automatically positioned using an auto-focusing procedure. For example, images including an aperture marker are acquired by directing light towards the sample via an aperture. The sample position may be adjusted based on features extracted from the aperture marker images.

Abstract: An image analysis system includes a video camera that collects YUV color images of a liquid sample disposed between a capital and a pedestal, the color images being collected while a light source shines light through an optical beam path between the capital and the pedestal, and a processor adapted to i) obtain from the YUV color images a grayscale component image and a light scatter component image, and ii) obtain at least one binary image of the grayscale component image and at least one binary image of the light scatter component image.

Abstract: An image analysis system includes a video camera that collects YUV color images of a liquid sample disposed between a capital and a pedestal, the color images being collected while a light source shines light through an optical beam path between the capital and the pedestal, and a processor adapted to i) obtain from the YUV color images a grayscale component image and a light scatter component image, and ii) obtain at least one binary image of the grayscale component image and at least one binary image of the light scatter component image.

Abstract: An image analysis system includes a video camera that collects YUV color images of a liquid sample disposed between a capital and a pedestal, the color images being collected while a light source shines light through an optical beam path between the capital and the pedestal, and a processor adapted to i) obtain from the YUV color images a grayscale component image and a light scatter component image, and ii) obtain at least one binary image of the grayscale component image and at least one binary image of the light scatter component image.

Abstract: An image analysis system includes a video camera that collects YUV color images of a liquid sample disposed between a capital and a pedestal, the color images being collected while a light source shines light through an optical beam path between the capital and the pedestal, and a processor adapted to i) obtain from the YUV color images a grayscale component image and a light scatter component image, and ii) obtain at least one binary image of the grayscale component image and at least one binary image of the light scatter component image.

Abstract: In a spectroscopic microscope, a video image of a specimen is analyzed to identify regions having different appearances, and thus presumptively different properties. The sizes and locations of the identified regions are then used to position the specimen to align each region with an aperture, and to set the aperture to a size appropriate for collecting a spectrum from the region in question. The spectra can then be analyzed to identify the substances present within each region of the specimen. Information on the identified substances can then be presented to the user along with the image of the specimen.

Abstract: In a spectroscopic microscope, a video image of a specimen is analyzed to identify regions having different appearances, and thus presumptively different properties. The sizes and locations of the identified regions are then used to position the specimen to align each region with an aperture, and to set the aperture to a size appropriate for collecting a spectrum from the region in question. The spectra can then be analyzed to identify the substances present within each region of the specimen. Information on the identified substances can then be presented to the user along with the image of the specimen.