Methods for on-demand printing discrete entities including, e.g., cells, media or reagents to substrates are provided. In certain aspects, the methods include manipulating qualities of the entities or biological components thereof. In some embodiments, the methods may be used to create arrays of microenvironments and/or for two and three-dimensional printing of tissues or structures and/or for in situ printing for microsurgeries. Systems and devices for practicing the subject methods are also provided.

An analysis device includes an analysis unit configured to receive scattered light, transmitted light, fluorescence, or electromagnetic waves from an observed object located in a light irradiation region light-irradiated from a light source and analyze the observed object on the basis of a signal extracted on the basis of a time axis of an electrical signal output from a light-receiving unit configured to convert the received light or electromagnetic waves into the electrical signal.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

Provided is a high efficiency and high sensitivity particle capture type terahertz sensing system. The particle capture type terahertz sensing system includes a sensing substrate to capture particles, and a terahertz sensor to emit terahertz electromagnetic waves to the sensing substrate to sense the particles, wherein the sensing substrate includes a base substrate and a particle capture structure layer formed on the base substrate, the particle capture structure layer includes a plurality of slits for focusing the terahertz electromagnetic waves, the particle capture structure layer captures the particles in the plurality of slits using dielectrophoresis, and an area in which the terahertz electromagnetic waves converge to the plurality of slits matches an area in which the particles are captured in the plurality of slits through the dielectrophoresis.

The present disclosure provides apparatuses, systems, and methods for performing particle analysis through flow cytometry at comparatively high event rates and for gathering high resolution images of particles.

To provide a microchip that is easily handled.

Provided is a microchip having a plate shape and including: a sample liquid inlet into which a sample liquid is introduced; a main flow path through which the sample liquid introduced from the sample liquid inlet flows; and a sorting flow path into which a target sample is sorted from the sample liquid, in which the sample liquid inlet and a terminal end of the sorting flow path are formed on a same side surface. Furthermore, a sample sorting kit including the microchip is also provided. Moreover, a microparticle sorting device on which the microchip is mounted is also provided.

The present disclosure provides a method for detection of an analyte in a sample, where the sample is introduced into an analytic chamber along with droplets of an emulsion or gel beads. In another aspect, the present disclosure provides designs for formulations of emulsion drops or gel beads such that they are useful for detection of analytes in a massively parallel manner. Formulations that contain specific combinations of fluorescent particles allow optical determination of the identity of each fluorescent particle. The combinations are based on particle fluorescence emission wavelength, fluorescence excitation wavelength, and particle count.

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.

A liquid droplet and solid particle sensing device is provided that can measure the average droplet size in a spray. The present device uses a swirling flow to draw a particulate or a spry into the device for sizing and counting. The swirling flow is configured to keep all the particles away from the walls of the device and to concentrate them at the center of a flow channel to pass through the center of a light beam for high sensitivity and repeatability of the measurement.

A cell detection method and a cell detection device. The cell detection method includes: dividing a liquid sample into a plurality of droplets in a sample detection region so that each of the plurality of droplets includes fewer than ten cells; and performing optical detection on the plurality of droplets in the sample detection region to determine a target droplet including a target cell from the plurality of droplets.