The present invention relates generally to an apparatus for identifying biological particles. More particularly, the present invention relates to a small apparatus for identifying biological particles, wherein in a single apparatus having a simple structure, a cleaning solution is suctioned to separate the biological particles from a filter and a sample solution is discharged, the discharged sample solution is injected into a plurality of ticket modules, and the biological particles are identified by image analysis for the ticket modules, thereby enabling miniaturization of the apparatus.

Provided herein are techniques for label free cell sorting. The systems and methods provided herein may use machine learning based image classification techniques to identify cells of interest within a sample of cells. The cells of interest may then be separated from the sample using mechanical, pneumatic, piezoelectric, and/or electronic devices.

An airborne biological particle monitoring device collects particles floating in air. The monitoring device includes a processor, a camera sensor, and a set of approximately monochromatic illumination sources that correspond to a set of spectral curves. The camera sensor captures images of the particles providing a spectral analysis of the particles. The processor analyzes the images to identify the collected particles.

Disclosed is an analysis method including: moving a complex, by means of a magnet unit, in a flow path of a specimen cartridge which includes the flow path and a detection vessel, the complex containing a test substance formed on magnetic particles and a labeled substance binding to the test substance; taking an image of the magnetic particles in the specimen cartridge; and measuring a label of the labeled substance contained in the complex in the detection vessel.

A cartridge for digital real-time Polymerase chain reaction (PCR) includes a microfluidic chamber, a well array, a CMOS photo sensor array and a PCB. The microfluidic chamber includes an inlet formed for injection of a liquid sample, the microfluidic chamber being capable of injection molding. The well array includes a plurality of microwells through which upper and lower portions are perforated and being attached to a lower surface of the microfluidic chamber. The CMOS photo sensor array is disposed below the well array to capture a response image of a sample filled in microwells of the well array. The PCB has a vent formed for vacuum processing of micro flow path formed in the microfluidic chamber, a space formed between the well array and the microfluidic chamber, and a microwell formed in the well array as the liquid sample is injected through the inlet.

Provided is an image-processing method including: an image-acquiring step of acquiring a divided-section image that includes the entire divided section by capturing an image of a chip array obtained by dividing a substrate into numerous chips together with a section of biological tissue on the substrate; a chip-recognizing step of recognizing chip images in the divided-section image; an attribute-information assigning step of assigning, to each of pixels that constitute the images of the recognized chips, positional information of the chip images to which those pixels belong in the image of the chip array; and a restoring step of generating a restored section image in which images of the divided section are joined into a single image by joining the chip images constituted of the pixels to which the positional information has been assigned.

A method and system to determine one or more proportional particle group shares in flue gas of a recovery boiler (110) based on optical information gained from a flue gas sample. A processor (202) is used to read (301) a digital frame comprising the area under consideration, which represents at least a part of the surface of a sampler (120) kept in the flue gas flow of a recovery boiler. Particle group areas matching a color characteristic of the particle group comprised in the flue gas is determined (302) from the area under consideration. The joint area of the identified particle group areas is determined (304), and the share of the joint area from the total area is determined (305) as the proportional particle group share of the particle group.

The present invention relates generally to an apparatus for identifying biological particles. More particularly, the present invention relates to a small apparatus for identifying biological particles, wherein in a single apparatus having a simple structure, a cleaning solution is suctioned to separate the biological particles from a filter and a sample solution is discharged, the discharged sample solution is injected into a plurality of ticket modules, and the biological particles are identified by image analysis for the ticket modules, thereby enabling miniaturization of the apparatus.

Methods and systems for image analysis are provided, and in particular for identifying a set of base-calling locations in a flow cell for DNA sequencing. These include capturing flow cell images after each sequencing step performed on the flow cell, and identifying candidate cluster centers in at least one of the flow cell images. Intensities are determined for each candidate cluster center in a set of flow cell images. Purities are determined for each candidate cluster center based on the intensities. Each candidate cluster center with a purity greater than the purity of the surrounding candidate cluster centers within a distance threshold is added to a template set of base-calling locations.

Provided are systems and methods that allow for brightfield imaging in a flow cytometer, allowing for collection of fluorescence and high-quality image date. The disclosed technology also gives rise to an illumination pattern that allows a user to create different oblique or structured illumination profiles within a static system. With the disclosed approach, a user can illuminate a sample from a first direction (e.g., with laser illumination configured to give rise to one or more of fluorescence information and scattering information), collect scattering information from a second direction, collect fluorescence information from a third direction, and capture an image of the sample from a fourth direction. (Two or more of the foregoing can be accomplished simultaneously.) Also as described elsewhere herein, an illumination used to illuminate the sample for visual image capture can be communicated to the same through a lens that also collects fluorescence from the sample.