Apparatus and method for separating whole cells from a mixture, e.g., including liquid, other cell types, nucleic acid material, or other components. Focused acoustic energy may be used to move whole cells in a chamber so that the cells exit the chamber via a first outlet rather than a second outlet. A filter may, or need not, be used to assist in separation.

An airborne, gas, or liquid particle sensor with multiple particle sensor blocks in a single particle counter. Each sensor would sample a portion of the incoming airstream, or possibly a separate airstream. The various counters could be used separately or in concert.

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 method for measuring concentrations of blood cell components is provided. The method comprises: obtaining a blood sample from a subject, the blood sample comprising at least one of red blood cells (RBCs), white blood cells (WBCs), and platelets (PLTs); mixing the blood sample with a non-lysing aqueous solution to form a sample mixture comprising a predetermined tonicity; passing the sample mixture through a flow cell; emitting light towards the flow cell; measuring at least one of an amount of light absorbed by the RBCs to obtain an RBC absorption value, an amount of light scattered by WBCs to obtain a WBC scatter value, and an amount of light scattered by PLTs to obtain a PLT scatter value; and determining a concentration of at least one of the RBCs, WBCs, and PLTs present in the sample mixture.

In order to quantitatively characterize biological objects, for example individual cells, a stimulus is applied to a biological object (8) in a contactless fashion. A measurement and a further measurement are performed on the biological object (8) in order to ascertain a response of the biological object (8) to the stimulus, wherein the measurement and the further measurement comprise detecting Raman scattering on and/or in the biological object (8) and/or capturing data using digital holographic microinterferometry (DHMI). The biological object (8) is characterized according to a result of the measurement and is sorted if needed. The stimulus can be applied by means of a laser beam that creates optical tweezers or an optical trap, by means of ultrasonic waves or an electric or magnetic radio frequency field.

A functionalised particle, wherein the particle has a first optical spectral signature in a first structural configuration of the particle and a second optical spectral signature in a second structural configuration of the particle.

Aspects of the present disclosure include methods and systems for automated analysis of clinical fluid samples, such as urine, blood, or cerebral spinal fluid, where the number of fluid samples in increased or optimized without negatively impacting the accuracy of the analysis of a given fluid sample.

The present invention relates generally to the field of plastic microparticles. In particular, the present invention relates to the detection of plastic microparticles in a water-based sample. An embodiment of the present invention relates to a process for detecting and characterizing plastic microparticles in a water-based sample comprising the analysis of the sample by spectral flow cytometry. In accordance with the present invention, the process described herein may comprise the processing of the recorded flow cytometry data by a machine learning algorithm that can distinguish and categorize each particle based on its unique spectrum to characterize, for example, the plastic microparticles.

The present invention relates generally to the field of plastic microparticles. In particular, the present invention relates to the detection of plastic microparticles in a water-based sample. An embodiment of the present invention relates to a process for detecting and characterizing plastic microparticles in a water-based sample comprising the analysis of the sample by spectral flow cytometry. In accordance with the present invention, the process described herein may comprise the processing of the recorded flow cytometry data by a machine learning algorithm that can distinguish and categorize each particle based on its unique spectrum to characterize, for example, the plastic microparticles.

An imaging flow cytometer includes: a laser unit that emits first and second laser light to first and second spots; a first and second imaging sections that image the first and second spots; first and second detection devices that detect a particle that passes through the first and second spots; a first particle detection section that issues an imaging timing instruction signal to the first and second imaging sections; an image storage section that receives an image imaged by the first and second imaging sections; and a sorting determination section that determines whether the particle is an objective particle. The first and second imaging sections clip an image of the particle based on the imaging timing instruction signal.