The present invention provides a classification analysis method, a classification analysis device, and a storage medium for classification analysis, which enable, with high accuracy, the classification analysis of particulate or molecular analytes. As a means for solving the problem, a data group of particle-passage detection signals is based which are detected by a nanopore device 8 in accordance with passage of subject particles through a through-hole 12. A feature value is obtained in advance which indicates the feature of the waveform of the pulse signals corresponding to the passage of the predetermined analyte and the feature value obtained in advance is set as the learning data for the machine learning. The feature value obtained from the pulse signals of said analyzed data is set as a variable and the classification analysis on the predetermined analytes in the analyzed data can be performed by executing a classification analysis program due to the machine learning.

The invention provides methods for evaluating disease, such as cancer, by way of performing multiple assays involving single-cell analysis on live cells isolated from a sample of a patient. The data obtained from the multiple assays is analyzed and linked to thereby provide a characterization of any given cell having undergone analysis, which, in turn, allows for evaluation of the sample either known to be, or suspected of being, cancerous. A report may be generated based on the data analysis, wherein the report provides information related to the cancer evaluation, including, but not limited to, whether the sample tested positive for cancer, a determination of a stage or progression of cancer, and a customized treatment plan tailored to an individual patient's cancer diagnosis.

A method includes receiving input indicating at least two of: (a) a coefficient of first sensitivity of an optical particle sizer (OPS) to a real part of a complex refractive index (CRI); (b) a coefficient of second sensitivity of the OPS to an imaginary part of the CRI; (c) a coefficient of a degree of monotonicity between intensity and particle size; (d) a coefficient of a dynamic range of the OPS; or (e) a coefficient of a limit of detection (LOD) of the OPS; determining ratings for the OPS using the at least two of (a)-(e) and at least two of (i) the first sensitivity, (ii) the second sensitivity, (iii) the degree of monotonicity, (iv) the dynamic range, or (v) the LOD; identifying an angle that corresponds to a maximum or minimum rating; and providing an OPS having a detection angle that is within 5 degrees of the identified angle.

The present invention encompasses a micro-fluidic system having a closed-loop configuration in which inertial micro-fluidic separation of particles and/or cells is continuously repeated by feeding part of the output back to the input so that the purity and/or concentration of the particles and/or cell is maximized. The invention also includes methods of using the micro-fluidic system.

An apparatus for sensing biomolecules includes: a storage in which a solution containing a target material is received; a sensor configured to sense the target material; and a flow controller connected between the storage and the sensor to supply the solution to the sensor, wherein the flow controller controls a solution flow to supply the solution containing the target material and the solution containing no target material in an alternating manner. According to the apparatus for sensing biomolecules, the sensing device always achieves a sensing offset, and consequently, long-term continuous measurement is enabled, leading to the maximized usage efficiency of the sensor, and the value of quantitative measurement can be obtained with high precision.

Systems and methods for classifying blood cells in a blood sample are disclosed. A series of frames of the blood sample as it flows through a field of view of an image capture device are captured and analysed. Advantageously, the disclosed systems and methods combine the availability of morphological cell data with the convenience of a flow-through arrangement. The classification results can be used for estimating cell counts in a blood sample.

Systems and methods for classifying blood cells in a blood sample are disclosed. A series of frames of the blood sample as it flows through a field of view of an image capture device are captured and analysed. Advantageously, the disclosed systems and methods combine the availability of morphological cell data with the convenience of a flow-through arrangement. The classification results can be used for estimating cell counts in a blood sample.

This technology relates in part to optical methods for analyzing particles, including nanoparticles, thereby determining their presence, identity, origin, size and/or number in a sample of interest.

A microfluidic device that reads a colloidal mixture and separates the colloids based upon size and shape. and in the case of polymer colloids such as DNA, it reads patterns of markers attached to DNA. The combination of different separated fractions and DNA markers (it mapping) constitutes the physical code.

The disclosure provides devices, device systems, and methods for analyzing cells (e.g., blood cells) or particles in a sample. In some embodiments, the disclosure provides various devices and device systems including: a light source; a collecting lens; and one, two, or more detectors. In other embodiments, the devices and device systems include a flow cell or a cartridge device with a flow cell. In further embodiments, the disclosure provides various methods including the steps of: using a light source to emit an irradiation light; using the irradiation light to illuminate a sample flow; using a collecting lens to collect both scattered light and fluorescent light from the sample flow; and using one, two, or more detectors to detect the collected scattered light and fluorescent light. Optionally, these methods include using a flow cell to form a sample flow.