A sample analyzer prepares a measurement sample from a blood sample or a body fluid sample which differs from the blood sample; measures the prepared measurement sample; obtains characteristic information representing characteristics of the components in the measurement sample; sets either a blood measurement mode for measuring the blood sample, or a body fluid measurement mode for measuring the body fluid sample as an operating mode; and measures the measurement sample prepared from the blood sample by executing operations in the blood measurement mode when the blood measurement mode has been set, and measuring the measurement sample prepared from the body fluid sample by executing operations in the body fluid measurement mode that differs from the operations in the blood measurement mode when the body fluid measurement mode has been set, is disclosed. A computer program product is also disclosed.

Described herein are cartridges and devices for operating said cartridges for analyzing a biological sample, such as a blood or saliva sample. Also described herein is an impedance sensor for analyzing a biological sample. Further described herein are methods of determining a cell count or detecting an analyte in a biological sample, which can include transporting the biological sample through a sensor comprising a channel or pore; applying an electrical current or voltage to the channel or pore; detecting an impedance within the channel or pore; and determining a cell count or detecting the analyte based on the detected impedance. Also described herein is an electrowetting electrode array that is configured to transport aqueous solutions using low voltage, such as about 50 volts or less. Further described herein are methods of transporting an aqueous liquid using electrowetting electrodes.

A method is provided for storing a particle analyzer capable of suppressing deterioration of a measurement performance with the lapse of time in a particle analyzer for analyzing particles such as exosomes, pollen, viruses, and bacteria. The particle analyzer has a first storage chamber in which a first liquid is stored, a second storage chamber in which a second liquid containing particles to be analyzed is stored, and a flow path connecting the first storage chamber in fluid communication with the second storage chamber. According to the method, at least a portion of the first storage chamber, the second storage chamber, and the flow path are surface-treated, which includes filling an internal space defined by the first storage chamber, the second storage chamber, and the flow path with a liquid to thereby store the particle analyzer in a state that the surface-treated portion is not in contact with air.

A method is provided for storing a particle analyzer capable of suppressing deterioration of a measurement performance with the lapse of time in a particle analyzer for analyzing particles such as exosomes, pollen, viruses, and bacteria. The particle analyzer has a first storage chamber in which a first liquid is stored, a second storage chamber in which a second liquid containing particles to be analyzed is stored, and a flow path connecting the first storage chamber in fluid communication with the second storage chamber. According to the method, at least a portion of the first storage chamber, the second storage chamber, and the flow path are surface-treated, which includes filling an internal space defined by the first storage chamber, the second storage chamber, and the flow path with a liquid to thereby store the particle analyzer in a state that the surface-treated portion is not in contact with air.

Systems and methods for decoding code-multiplexed Coulter signals are described herein. An example method can include receiving a code-multiplexed signal detected by a network of Coulter sensors, where the code-multiplexed signal includes a plurality of distinct Coulter signals, and inputting the code-multiplexed signal into a deep-learning network. The method can also include determining information indicative of at least one of a size, a speed, or a location of a particle detected by the network of Coulter sensors by using the deep-learning network to process the code-multiplexed signal. The method can further include storing the information indicative of at least one of the size, the speed, or the location of the particle detected by the network of Coulter sensors.

Systems and methods for decoding code-multiplexed Coulter signals are described herein. An example method can include receiving a code-multiplexed signal detected by a network of Coulter sensors, where the code-multiplexed signal includes a plurality of distinct Coulter signals, and inputting the code-multiplexed signal into a deep-learning network. The method can also include determining information indicative of at least one of a size, a speed, or a location of a particle detected by the network of Coulter sensors by using the deep-learning network to process the code-multiplexed signal. The method can further include storing the information indicative of at least one of the size, the speed, or the location of the particle detected by the network of Coulter sensors.

A system and a method for the batch sorting of particles are provided. An example of a batch sorting system includes a microfluidic ejector, a flow channel fluidically coupled to the microfluidic ejector at one end, and a reservoir coupled to an opposite end of the flow channel from the microfluidic ejector. A counter is disposed in the flow channel upstream of the microfluidic ejector to count particles prior to ejection from the microfluidic ejector. An optical sensor is to image the flow channel. A controller is configured to locate a target particle in the flow channel based, at least in part, on the image and capture the target particle in a collection vessel based, at least in part, on a count from the counter.

Systems and methods of assessing a probability that an individual will develop sepsis are provided. The systems and methods can include obtaining a set of parameters associated with the individual including white blood cell count (WBC) and monocyte distribution width (MDW) value, and determining whether the set of parameters provides an elevated risk status by comparing at least the WBC and the MDW value with respective predetermined criteria. In the event that the set of parameters is determined to provide the elevated risk status, the systems and methods can further include obtaining a secondary parameter associated with the individual; and providing the probability that the individual will develop sepsis.

Methods and apparatuses to image particles are described. A plurality of illuminating light beams propagating on multiple optical paths through a particle field are generated. The plurality of illuminating light beams converge at a measurement volume. A shadow image of a particle passing through a portion of the measurement volume at a focal plane of a digital camera is imaged. Shadow images of other particles in the particle field are removed using the plurality of illuminating light beams.

Methods and apparatuses to image particles are described. A plurality of illuminating light beams propagating on multiple optical paths through a particle field are generated. The plurality of illuminating light beams converge at a measurement volume. A shadow image of a particle passing through a portion of the measurement volume at a focal plane of a digital camera is imaged. Shadow images of other particles in the particle field are removed using the plurality of illuminating light beams.