The invention relates to an isotopic identification method making it possible, where appropriate, to link a livestock animal or animal product to a specific farm, or a plant or a plant product to a farm, by analyzing the concentration of ratios or stable isotopes, and comparing with isotopic codes previously generated in a unique fashion for a set of frames. The invention also relates to a method which makes it possible to impose a unique code on the animals of a farm or on the plants of a farm, a computer making it possible to store the unique codes generated in memory, to generate unique codes for new farms and to perform comparisons.

The invention relates to an isotopic identification method making it possible, where appropriate, to link a livestock animal or animal product to a specific farm, or a plant or a plant product to a farm, by analyzing the concentration of ratios or stable isotopes, and comparing with isotopic codes previously generated in a unique fashion for a set of frames. The invention also relates to a method which makes it possible to impose a unique code on the animals of a farm or on the plants of a farm, a computer making it possible to store the unique codes generated in memory, to generate unique codes for new farms and to perform comparisons.

An in vitro method for detecting presence of cancer includes obtaining a single hair sample. An x-ray beam is emitted from a source towards the hair sample. A small angle X-ray scattering (SAXS) intensity profile is generated after the x-ray beam hits the hair sample. The SAXS profile is received on a detector to obtain SAXS data, which is desmeared and Kratky Analysis is performed. A relative estimation of peak area under 1.38 nm.sup.−1 to 0.89 nm.sup.−1 from keratin and lipid content in the hair sample is performed to obtain R and is corrected by dividing by D, thickness of the hair. R′ is computed using formula: 10×R.sup.2/(D−R). The value of R′ is compared with clinically validated samples. If R′ value is below 0.7, it indicates the presence of cancer and if it is above 0.8, it indicates absence of cancer.

The present invention provides compositions and methods for imaging tumor resections.

Techniques for performing an acoustic rheology measurement of a sample are provided. A first set of acoustic pulses is provided by a focused ultrasound transducer to induce surface oscillations of the sample. A second set of acoustic pulses is provided by a detection transducer to interrogate the sample and detect the echo pulses reflected by the sample surface as a function of time. The detection ultrasound transducer system converts the echo signals to an electrical signal associated with the detected echo pulses, and a processor determines a dynamic displacement of the interface of the sample as a function of time. The processor also determines the spectrum, resonant surface oscillation frequency, and damping coefficient. Viscoelastic properties of the material are determined from these measurements, with applications for the characterization of the blood clotting process, the identification of a blood clot, gelation process, tumor, or fibrosis based on the viscoelastic properties.

The invention relates to a method for the determination and visualization of the spatial distribution of tissue states of a tissue sample, wherein a mass/mobility map is acquired at each of a plurality of sample sites of the tissue sample, the signal heights at each sample site are determined at characteristic signal positions in the corresponding mass/mobility map, from which a tissue state for each sample site is calculated with the aid of a mathematical/statistical classification algorithm, and the spatial distribution of the tissue states calculated for the sample sites is represented graphically.

The invention relates to a method for the determination and visualization of the spatial distribution of tissue states of a tissue sample, wherein a mass/mobility map is acquired at each of a plurality of sample sites of the tissue sample, the signal heights at each sample site are determined at characteristic signal positions in the corresponding mass/mobility map, from which a tissue state for each sample site is calculated with the aid of a mathematical/statistical classification algorithm, and the spatial distribution of the tissue states calculated for the sample sites is represented graphically.

The present disclosure relates to method and apparatus for processing cross matching image based on deep learning.

A culture device is applicable to measurement of an electrical resistance of cells. The culture device includes a measurement chamber, a permeable layer, an upper working electrode, and a lower working electrode. The measurement chamber is longer in a first direction than in a second direction intersecting the first direction. The permeable layer partitions the measurement chamber into a first chamber on an upper side and a second chamber on a lower side. The permeable layer is permeable to liquid. The upper working electrode is disposed on the upper side with respect to the measurement chamber, and has working electrode portions longer in the first direction than in the second direction. The lower working electrode is disposed on the lower side with respect to the measurement chamber, and has working electrode portions longer in the first direction than in the second direction.

A toilet is disclosed. The toilet has a bowl adapted to receive excreta, a shelf for receiving feces in the bowl, and one or more sensor for detecting a property of the feces. The property may be related to a user's heath and wellness and may be presented to a person for their review and assessment.