There is provided a technology that supports selection of a label to be used for analysis of target molecules.

The present technology provides a label selection support system including an information acquisition unit that obtains, via a network, information associated with a plurality of target molecules to be analyzed, an information processor that obtains, using the information associated with a plurality of target molecules, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules and generates support information associated with assignment of a label to each of the plurality of target molecules on the basis of the expression information, and a transmitter that transmits the generated support information via the network.

Aspects of the disclosure include systems for sorting particles of a sample in a flow stream (e.g., a biological sample containing cells). Systems according to certain embodiments include a flow cell configured to propagate a sample through a flow stream, a light source configured to irradiate particles of the sample in the flow stream, a photodetector configured to detect light from the irradiated particles and a support stage operationally coupled to the photodetector, where the support stage includes a closed-loop feedback position encoder that is configured to adjust position in the X-Y plane in response to a data signal generated by the photodetector in response to light from the irradiated particles. Methods for sorting particles using the subject systems are also described. Non-transitory computer readable storage medium are also provided.

Provided is a gate region estimation program and the like that estimate a gate region using a learning model. This gate region estimation program causes a computer to execute processing of: acquiring a group of scatter diagrams including a plurality of scatter diagrams each different in a measurement item that are obtained from measurements by flow cytometry; inputting the group of scatter diagrams acquired to a learning model trained based on teaching data including a group of scatter diagrams and a gate region; and outputting an estimated gate region obtained from the learning model.

A method for enhancing vacuum tolerance of optical levitation particles includes steps of: (1) turning on a trapping laser to form an optical trap, loading the particles to an effective capture region of the optical trap, and collecting scattered light signals; (2) turning on the preheating laser, and directing a preheating laser beam to the captured particles; (3) adjusting a power of the preheating laser until a particle heating rate is larger than a heat dissipation rate; (4) turning on the vacuum pump, and stopping evacuating when a vacuum degree is greater than a vacuum inflection point of a first reduction of the effective capture region of the optical trap; and (5) turning off the preheating laser when the scattered light signals collected by the photodetector no longer changes. The present invention improves a stable capture probability of the particles in high vacuum environment.

Microfluidic devices, systems and techniques in connection with particle sorting in liquid, including cytometry devices and techniques and applications in chemical or biological testing and diagnostic measurements.

An exemplary mobile impedance-based flow cytometer is developed for the diagnosis of sickle cell disease. The mobile cytometer may be controlled by a computer (e.g., smartphone) application. Calibration of the portable device may be performed using a component of known impedance value. With the developed portable flow cytometer, analysis may be performed on two sickle cell samples and a healthy cell sample. The acquired results may subsequently be analyzed to extract single-cell level impedance information as well as statistics of different cell conditions. Significant differences in cell impedance signals may be observed between sickle cells and normal cells, as well as between sickle cells under hypoxia and normoxia conditions.

Aspects of the present disclosure include methods for characterizing particles of a sample in a flow stream. Methods according to certain embodiments include generating frequency-encoded fluorescence data from a particle of a sample in a flow stream; and calculating phase-corrected spatial data of the particle by performing a transform of the frequency-encoded fluorescence data with a phase correction component. In certain embodiments, methods include generating an image of the particle in the flow stream based on the phase-corrected spatial data. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to calculate phase-corrected spatial data from frequency-encoded fluorescence data of a particle a flow stream are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for practicing the subject methods are also provided.

A cell sorting system that automatically generates a sorting strategy based on examples of target events provided by an operator. The target events can be selected using measurements ranging from traditional flow cytometry measurements to derived measurements that are computationally expensive to complex measurements such as images.

Aspects of the present disclosure include methods for dynamic real-time adjustment of data acquisition parameters of a particle analyzer. Methods according to certain embodiments include detecting light from a particle of a sample in a flow stream irradiated with a light source, generating an image of the particle based on the detected light and automatically adjusting a data acquisition parameter of the particle analyzer in response to a modulated visualization parameter for the image of the particle. Systems (e.g., particle analyzers) having a light source and a light detection system that includes an imaging photodetector and processor with memory having instructions for practicing the subject methods are also described. Non-transitory computer readable storage medium is also provided.

Some embodiments of the methods provided herein relate to sample analysis and particle characterization methods. Some such embodiments include receiving, from a particle analyzer, measurements for a first portion of particles associated with an experiment. Some embodiments also include generating a tree representing groups of related particles based at least in part on the measurements, wherein the tree includes at least three groups. Some embodiments also include generating a measure of relatedness between a first group and a second group of the tree based at least in part on the measurements. Some embodiments also include and configuring the particle analyzer to classify a subsequent particle associated with the experiment with the first group real-time, wherein the subsequent particle is not included in the first portion of particles. Some embodiments also include sorting the subsequent particle.