In a configuration for analyzing data of cells measured by a cell measuring apparatus, accuracy of cell classification is improved without requiring the cell measuring apparatus to have high information processing capability. A cell analysis method, using a cell analyzer for analyzing cells in accordance with an artificial intelligence algorithm, includes: obtaining the data regarding the cells measured by the cell measuring apparatus; analyzing the data to generate information regarding a cell type of each of the cells; and transmitting the information to the cell measuring apparatus.

Among the various aspects of the present disclosure is the provision of a hydrogel-based substrate comprising an aldehyde-containing component, such as N-ethanal acrylamide. The hydrogel component allows for functionalization of a hydrogel through conjugation of proteins (e.g., collagen) to the hydrogel in the absence of a post hoc crosslinking component.

Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.

Systems and methods are provided for Quantitative Phase Microscopes (QPM) having laser systems including one or more of laser scissors and laser tweezers. In one embodiment, the system includes one or more structural elements, such as a stage and dichroic plate for operation of a QPM with laser scissors/tweezers. Another embodiment is directed to a method of operating a QPM system having laser scissors/tweezers. One or more solutions are provided for biodmedical applications of a QPM system including simulation and analysis of trauma on cellular structures and organelles. Processes are also provided for simulation and analysis of traumatic injury, including imaging and analysis of astrocytes.

The present disclosure provides methods of preparing a biological specimen for imaging analysis, comprising fixing and clearing the biological specimen and subsequently analyzing the cleared biological specimen using microscopy. Also included are methods of quantifying cells, for example, active populations of cells in response to a stimulant. The present disclosure also provides devices for practicing the described methods. A flow-assisted clearing device provides rapid clearing of hydrogel-embedded biological specimens without the need of specialized equipment such as electrophoresis or perfusion devices.

A cell evaluation method evaluates the quality of a cell population including a plurality of cells. The cell evaluation method comprises: an index calculation step of calculating an index, based on a captured image of the cell population, the index including at least any one of an average distance representing a packing degree of the cells, a spring constant representing a degree of consistency in distances between the cells, and a hexagonal order parameter representing a degree to which an arrangement of the cells resembles a regular hexagon; and an evaluation step of evaluating the cell population, based on the index calculated in the index calculation step.

The present disclosure relates to methods of collecting and testing bacteria containing samples from within the gastrointestinal (GI) tract of a subject. The methods may include disposing an ingestible device in the GI tract, collecting a bacteria-containing sample from the GI tract, selectively lysing eukaryotic cells in the sample by combining the sample with a dried reagent, exposing bacteria in the sample to resazurin in the ingestible device to produce resorufin, emitting light from the ingestible device, the emitted light being filtered through an optical filter to control for scatter so that the light interacts with the resorufin to produce fluorescence, and measuring a total fluorescence from the resorufin; or a rate of change of fluorescence from the resorufin as a function of time within the GI tract of the subject; and correlating the measured parameter to a number of viable bacterial cells in the sample.

A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.

An excrement management system according to an embodiment includes: a closet bowl in which a bowl part for receiving excrement is formed; a light emitting unit configured to emit light toward an inner part of the closet bowl; a light receiving unit comprising an image sensor configured to receive light; a cloud server and an edge server configured to analyze light reception data received by the light receiving unit; a first communication device configured to transmit the light reception data to the cloud server; and a second communication device configured to transmit the light reception data to the edge server. The cloud server analyzes the light reception data to determine a characteristic of excrement, and the edge server analyzes the light reception data to determine whether to transmit the light reception data to the cloud server by the first communication device.

Disclosed are systems and methods of label-free detecting cellular physiological activities involving monitoring local refractive index changes associated with cellular physiological activities using a single ultracompact light emitting diode (LED) chip serving as a refractometer.