Light detection systems are provided. Aspects of the light detection systems include first and second light receivers in fixed positions relative to each other, a plurality of wavelength separators configured to pass light from the first and second light receivers having a predetermined spectral range, and a plurality of light detection modules. Baseplates having a stage for mounting a light receiver, a plurality of recesses for fixing a plurality of light detection modules in rigid alignment relative to the stage, and a heat dissipation opening positioned within each recess are also provided. In addition, particle analysis systems, methods and kits for practicing the invention are disclosed.

A method for analyzing nucleated red blood cells in a blood sample includes obtaining fluorescence signals and scattered light signals of cells in a blood sample; classifying and counting ghost particles, white blood cells, and nucleated red blood cells in the blood sample according to the fluorescence signals and the scattered light signals; obtaining a characteristic value of a characteristic particle population related to the nucleated red blood cells; and ascertaining a final nucleated red blood cell detection result according to the classifying and counting result of the nucleated red blood cells and the characteristic value of the characteristic particle group.

Provided is a method for producing a cell contained base, the method being capable of providing a cell contained base highly accurately controlled in number of nucleic acid molecules contained in a low-concentration nucleic acid standard sample, the method including a liquid droplet discharging step of discharging a cell suspension in the form of a liquid droplet with a liquid droplet discharging unit onto a base including at least one cell contained region; a cell number counting step of counting a number of cells contained in the liquid droplet with a plurality of sensors from two or more directions while the liquid droplet is flying into the cell contained region; and a liquid droplet landing step of landing the liquid droplet in the at least one cell contained region in a manner that a predetermined number of cells are located in the at least one cell contained region.

It is aimed to provide a technology that enables highly accurate device performance evaluation and device adjustment in optical analysis of microparticles, using the same type of beads. The present technology provides an information processing device including an information processing unit that acquires a plurality of fluorescence intensities at a plurality of light irradiation powers for a fluorescence signal from a sample including particles labeled with a fluorescent dye having a single fluorescence intensity, recognizes an intensity range of each of the plurality of fluorescence intensities detected on the basis of a fluorescence intensity balance of the sample, and calculates information relating to sensitivity of a fluorescence detection unit.

Aspects of the present disclosure include a particle sorting module having an opening that is configured for visualizing droplets of a deflected flow stream. Particle sorting modules according to certain embodiments include a housing having a proximal end, a distal end and a wall therebetween having an opening positioned in the wall that is configured for aligning the flow stream with one or more sample containers at the distal end. Systems and methods for aligning a flow stream with one or more sample containers and sorting particles of a sample (e.g., a biological sample) are also provided. Kits having one or more of the particle sorting modules suitable for coupling with a particle sorting system and for practicing the subject methods are also described.

Photodetector clamps are provided. Clamps of interest include one or more flexure arms for applying an immobilizing force to one or more photodetectors positioned within a light detection module, and are configured to be positioned on top of a detector block. In embodiments, the bottom of the one or more flexure arms include an opening for contacting the photodetector(s). Light detection modules, systems and methods employing the subject clamps are also provided.

For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

Methods of classifying flow cytometer data are provided. Methods of interest include receiving a first gate and flow cytometer data, expanding the first gate to generate a second gate, and determining sets of flow cytometer data encompassed by each of the first gate and the second gate to classify the flow cytometer data. In embodiments, methods also involve recording a subset of the classified flow cytometer data and optionally adjusting the first and/or second gates based on the recorded data. In some cases, the subject methods include sorting particles associated with the classified flow cytometer data based on the first and second gates. Systems and computer-readable storage media for practicing the invention are also provided.

A passive, hydrodynamic technique implemented using a microfluidic device to perform co-encapsulation of samples in droplets and sorting of said droplets is described herein. The hydrodynamic technique utilizes laminar flows and high shear liquid-liquid interfaces at a microfluidic junction to encapsulate samples in the droplets. A sorting mechanism is implemented to separate sample droplets from empty droplets. This technique can achieve a one-one-one encapsulation efficiency of about 80% and can significantly improve the droplet sequencing and related applications in single cell genomics and proteomics.

A system for selective microcapsule extraction includes a non-planar core-shell microfluidic device. The non-planar core-shell microfluidic device generates microcapsules defining a core-shell configuration. A subset of the microcapsules contain aggregates, tissues, or at least one cell. A camera captures images of the microcapsules. A detection module includes a processor and a memory. The memory includes instructions that when executed by the processor causes the detection module to provide the images of the microcapsules as an input to a machine learning model. The machine learning model identifies microcapsules containing aggregates, tissues, or at least one cell. A force generator generates a force to extract the microcapsules. A microcontroller selectively activates the force generator to generate the force when the detection module identifies a microcapsule containing aggregates, tissues, or at least one cell to extract the microcapsule.