Abstract:
Apparatus and method are disclosed for detecting the presence of a analyte in a sample. The apparatus includes an optical transmitter and receiver for transmitting light toward the sample and receiving a portion of the reflected light. The optical receiver acts in conjunction with a data processor to convert the reflected light to data representing the density of analyte in the sample. The apparatus thus disclosed is portable and can be transported to remote testing sites.
Abstract:
This invention relates to an apparatus for evaluating the quality of rice grains. The apparatus comprises a near infrared spectrometer having a band-pass filter and detectors for detecting the intensity of reflected light from the sample rice; a control device having a memory for storing various values and a calculator for performing various calculations; indicating device for displaying or printing the various calculated values; and a sample case for being filled with the sample rice and being disposed at the measuring portion within the near infrared spectrometer.The apparatus is capable of measuring the content percentages of pre-selected constituent or constituents, such as, of protein, either amylose or amylopectin and moisture of the rice grains, calculating a quality evaluation value of the sample rice based on the measured and calculated values and powers established for the preselected constituents, and displaying the calculated evaluation value of the sample rice.
Abstract:
An apparatus for measuring amylose and/or amylopectin content in rice. A near infrared light beam having its wavelength in a range of from about 1900 nm to about 2500 nm is applied to sample rice (5). A detector (26, 27,28) receives light reflected from and/or transmitted through the sample rice (5), to generate signals representative of luminous intensity of the received light. A memory device (122) has stored therein content conversion coefficients set for the amylose and/or amylopectin. A calculation device (123) calculates the amylose and/or amylopectin content in the sample rice (5), based on the detecting signals from the detector (26,27,28) and the content conversion coefficients stored in the memory device (122). The calculated content is displayed by a display device (126,127).
Abstract:
A method of identifying NPK-deficiency includes measuring intensities of light reflected from a cannabis plant to produce intensities at a set of spectral bands, wherein the cannabis plant is one variety of a plurality of varieties of cannabis. The intensities are applied to a classifier so that the classifier provides one of an indication that the cannabis plant is NPK-deficient or an indication that the cannabis plant is NPK-sufficient, wherein the classifier has been trained using plants that include each of the plurality of varieties of cannabis.
Abstract:
A fire detection method is provided. The fire detection method calculates a singular value for determining whether smoke penetrating into a chamber is caused by a fire or a non-fire by using the processor, based on n number of normalized values of scattered light and n number of normalized values of transmitted light.
Abstract:
The present disclosure relates to an apparatus for evaluating thermal conductance of an interface on the basis of how much the phases of acoustic phonons, which are produced in a semiconductor, change on a semiconductor interface. The apparatus for evaluating thermal conductance of a semiconductor interface according to an embodiment of the present disclosure includes: a spectrometer exciting acoustic phonons in a semiconductor by irradiating a laser beam to the semiconductor; and a processor evaluating thermal conductance of an interface of the semiconductor in accordance with a phase difference of a ascending acoustic phonon propagating toward the interface and reflecting from the interface and a descending acoustic phonon propagating in an opposite direction to the interface.
Abstract:
The present disclosure is directed to an improved methods and systems using autofluorescence of naturally-occurring components in a sample embedded in an embedding medium. Methods and systems are provided for determining an amount of tissue or cell preparation exposed at a surface of an embedded sample, and for preparing a tissue specimen comprising a region of interest (ROI) from an embedded sample. Methods and systems are also provided for imaging a sample of a biological tissue, and for identifying different cell types in an embedded tissue sample.
Abstract:
A detection unit receives an optical signal that has passed through a space to be measured. A spectrum extraction unit extracts a range to be measured from the optical signal received by the detection unit. The spectrum extraction unit extracts an optical signal formed as a gas molecule of a gas to be measured absorbs energy of the optical signal. A determination unit determines the presence of an anomaly in the space to be measured based on a waveform of the optical signal extracted by the spectrum extraction unit.
Abstract:
A method of analyzing a tissue specimen is provided. The method includes imaging a tissue specimen to produce autofluorescence images acquired at different excitation and emission wavelengths, and/or reflectance images, using data produced during the imaging to identify one or more regions of interest within the tissue specimen, and performing an omics profiling on the identified one or more regions of interest within the tissue specimen to produce information relating to the tissue specimen.
Abstract:
Optical data is collected from an optical sensor of a dual wavelength, and in order to detect the fire from the collected optical data, an average value of a first wavelength, an average value of a second wavelength, and a ratio of the average values of the two wavelengths are calculated, and an amount of change of a slope of the ratio is used to detect the fire and determine the fire occurrence time. From the determined fire occurrence time, fire features are extracted from the optical data in real time according to defined rules to configure a data set. The data set may be used for learning and inference techniques to identify a fire or non-fire, a fire source, a combustion material, and the like.