Abstract:
A label-free resonant waveguide grating biosensor imager system for measuring beat patterns and dynamic mass redistribution (DMR) signals of cultured cardiomyocytes in the absence and presence of a drug molecule. The disclosure also provides a method using the imager system for analyzing the beat patterns and the DMR signals of the cardiomyocytes to assess drug-induced cardiotoxicity.
Abstract:
Adherent cells bearing characteristics that are detectable only in the adherent state can be sorted on the basis of these characteristics independently of their adherent state, by applying a transformable label to the entire population of cells, both those bearing the characteristics of interest and those not, in their adherent state and identifying the locations of the cells of interest on the adherent surface. The cells of interest, or all cells other than those of interest, are then selectively treated to transform the labels and achieve differentiation between the cells of interest and the remaining cells. All cells are then released from the adherent state and sorted in the same manner as non-adherent cells but on the basis of whether the labels are transformed or not transformed.
Abstract:
An automated method for analyzing seeds generally includes collecting image data from individual seeds using a seed sampling system, determining at least one characteristic of each of the individual seeds based on the collected image data, and removing tissue from each of the individual seeds using the seed sampling system. The method also includes, prior to removing the tissue sample from each of the individual seeds, adjusting at least one operational parameter of the seed sampling system based on the at least one characteristic of the seed from which the tissue is to be removed to thereby allow for generally consistent removal of tissue from each of the individual seeds. In some aspects, the method further includes analyzing the tissue removed from the seeds for presence or absence of at least one characteristic, and selecting seeds based on presence or absence of the at least one characteristic.
Abstract:
There are provided a detector and a detection method capable of detecting a biological sample with high sensitivity. A detector is provided with a microchamber array including a plurality of storage sections to be filled with a hydrophilic solvent containing a biological sample; and an image sensor in which picture elements are disposed corresponding to the storage sections, wherein the microchamber array includes a flow channel in communication with openings of the storage sections; a hydrophobic solvent supply unit arranged in continuity with the flow channel; and a through-hole which allows the hydrophilic solvent to enter and exit the flow channel, and the hydrophobic solvent supply unit flows a hydrophobic solvent into the flow channel by an externally-applied force.
Abstract:
A particle photographing device 2 includes: an illumination optical system 13 that illuminates particles with sheet-like illumination light based on laser light from an end of an optical fiber 7; an imaging portion 6 that images the illuminated particles; and a regulation portion 14 that changes the distance between the end of the optical fiber 7 and the illumination optical system 13.
Abstract:
The invention provides use of one or more emitted beams of radiation (16), for example, laser beam(s), in combination with an image capturing means (14), for example, one or more video cameras and/or optical elements to detect particles (30), for example, smoke particles, located in an open space (12).
Abstract:
The present invention provides an information processing apparatus capable of selecting a region of cancer cells in any tissue sample image and easily and accurately counting the number of the cancer cells. The information processing apparatus is an information processing apparatus 100 including: an acquisition unit 110 for acquiring image data obtained by reading a tissue sample image 150 obtained by putting a mark 151 specifying a selected area 152 on an image obtained by immunostaining and then imaging a biological tissue; and a counting unit 120 for counting the number of cancer cells in the selected area 152 specified by the mark 151 based on the image data of the tissue sample image 150 acquired by the acquisition unit 110, wherein a diagnosis based on the tissue sample image 150 is supported.
Abstract:
Disclosed is a urine sample analyzer for analyzing particles contained in a urine sample and outputting analytical results. The analyzer includes a flow cell that accepts a measurement specimen, the measurement specimen comprising a urine sample mixed with a reagent, a light irradiation unit positioned to irradiate the flowing measurement specimen with light, a light detector that detects light from individual particles in the flowing measurement specimen, and a data processor that receives signal from the light detector, processes the signal to obtain parameter information corresponding to a length of a cell cluster, and classifies fungi in the measurement specimen into groups by using the parameter information.
Abstract:
The invention encompasses analyzers and analyzer systems that include a single molecule analyzer, methods of using the analyzer and analyzer systems to analyze samples, either for single molecules or for molecular complexes. The single molecule uses electromagnetic radiation that is translated through the sample to detect the presence or absence of a single molecule. The single molecule analyzer provided herein is useful for diagnostics because the analyzer detects single molecules with zero carryover between samples.