A method for measuring attributes of a particle in motion comprises observing a region of interest with an event-based sensor oriented such that lines of a pixel array of the sensor lie across an expected trajectory of the particle (P) through the region of interest; defining two reference lines of pixels (R1, R2) separated by a spatial distance (D); sampling a first group of events produced by a first of the two reference lines; sampling a second group of events produced by the second of the two reference lines; determining a temporal distance (T) between the second and first groups of events; and providing a longitudinal speed factor (vy) of the particle based on the spatial distance and the temporal distance. The particles have a size spanning multiple adjacent pixels in a line, and the method further comprises analyzing one of the first and second groups of events over multiple time steps in order to produce an outline of the particle in space-time coordinates (x, t) including spatial components based on positions of event-triggered pixels in the lines and temporal components based on the time steps; and converting the space-time coordinates of the outline to spatial coordinates (x, y) by multiplying the time steps (t) of the space-time coordinates by the longitudinal speed factor (vy).

An example system includes an input channel having a first end and a second end to receive particles through the first end, a sensor to categorize particles in the input channel into one of at least two categories, and at least two output channels. Each output channel is coupled to the second end of the input channel to receive particles from the input channel, and each output channel is associated with at least one category of the at least two categories. Each output channel has a corresponding pump operable, based on the categorization of a detected particle in a category associated with a different output channel, to selectively slow, stop, or reverse a flow of particles into the output channel from the input channel.

A method of impedance flow cytometry comprises: flowing a fluid along a flow channel; applying electrical signals to current paths through the fluid, the current paths comprising at least first and second current paths, and further first and second current paths, wherein the electrical signals applied to the first and further first current paths have a frequency, magnitude and phase, and the electrical signals applied to the second and further second current paths have substantially equal frequency and magnitude and opposite phase to the electrical signals applied to the first and first further current path; detecting current flow in the current paths; producing a first summed signal representing the sum of the current flows detected in the current paths, and a second summed signal representing the sum of the current flows detected in the further current paths; and obtaining a differential signal representing the difference between the summed signals.

An ESR detection device and an ESR detection method are provided, the ESR detection device including a sample collecting and dispensing module, an ESR detection module and a data processing module. The sample collecting and dispensing module is configured for dispensing at least part of a blood sample to the ESR detection module. The ESR detection module is configured for obtaining disaggregation optical data during disaggregation of erythrocytes and/or aggregation optical data during reaggregation of erythrocytes. The data processing module is configured for obtaining an ESR detection result of the blood sample based on the aggregation optical data, determining, based on the disaggregation optical data and/or the aggregation optical data, whether or not there is a sample abnormality that leads to an abnormality in the ESR detection result, and outputting an alarm prompt when it is determined that the sample abnormality is present, thereby reducing clinical risk.

Mechano-node-pore sensing (mechano-NPS), is a rapid, multi-parametric cell screening method that simultaneously quantifies cell diameter, transit time through a contraction channel, transverse deformation under constant strain, and recovery time after deformation

Systems and methods for predicting engine performance are provided herein. A fluid sample having particles suspended therein is received from a first engine. A plurality of particles are extracted from the fluid sample. Features of the plurality of particles extracted from the fluid sample and features of particles of reference fluid samples from a plurality of reference engines are obtained. A plurality of correlation indices indicative of a level of correlation between the first engine and each one of the plurality of reference engines is determined. The correlation indices are compared to a threshold to determine a subset of the plurality of reference engines. Performance history for the engines in the subset is obtained. From the performance history, the first engine is determined as having a similarity in performance with the engines in the subset. An output is generated indicating a predicted performance for the first engine.

The present disclosure provides improved systems and methods for automated cell identification/classification. More particularly, the present disclosure provides advantageous systems and methods for automated cell identification/classification using shearing interferometry with a digital holographic microscope. The present disclosure provides for a compact, low-cost, and field-portable 3D printed system for automatic cell identification/classification using a common path shearing interferometry with digital holographic microscopy. This system has demonstrated good results for sickle cell disease identification with human blood cells. The present disclosure provides that a robust, low cost cell identification/classification system based on shearing interferometry can be used for accurate cell identification. For example, by combining both the static features of the cell along with information on the cell motility, classification can be performed to determine the type of cell present in addition to the state of the cell (e.g., diseased vs. healthy).

A method having the steps of obtaining prepared image data captured by an image sensor receiving light propagated across a sample volume, containing a fluid possibly comprising microscopic objects of foreign origin, while illuminating the sample volume by coherent light. The prepared image data comprising, for a microscopic object, a prepared hologram pattern with prepared spatially alternating intensity formed by the interference fringes; providing filtered image data, comprising automatically filtering the prepared image data by an edge enhancing filter. the filtered image data comprising, for a prepared hologram pattern, a filtered hologram pattern. The presence of the microscopic object associated with the filtered hologram pattern in the sample volume of the fluid is automatically detected on the basis of the filtered hologram pattern.

A particle counter and classification system and method wherein a first stage magnetometer sensor subsystem for the fluid is tuned to detect and determine the size of ferrous and/or conducting particles in the fluid above a predetermined size. A second stage magnetometer sensor subsystem for the fluid is tuned to detect the overall ferrous and/or conducting particle concentration in the fluid. A pump is configured to drive a volume of the fluid through the first stage magnetometer sensor subsystem and the second stage magnetometer sensor subsystem. A processing subsystem is responsive to the first stage magnetometer sensor subsystem, the second stage magnetometer sensor subsystem, and the pump. The processing subsystem is configured to count the number of ferrous and/or conducting particles above the predetermined size based on the output of the first stage magnetometer sensor subsystem and to determine and report the concentration of the ferrous and/or conducting particles above the predetermined size as a function of the size of the particles, their number, and the volume of the fluid. The processing subsystem further includes automatically determining a wear severity index as a function of the concentration of the particles above the predetermined size and the total ferrous/conducting particle concentration.

Embodiments of apparatus and methods for counting cells in a liquid sample are provided herein. In some embodiments, an apparatus for counting cells in a liquid sample includes: a flow-splitting chamber fluidly coupled to a collection chamber; an input tube configured to deliver a liquid sample to the flow-splitting chamber; a spaced apart array of posts along a flow path configured to redirect the liquid sample into a plurality of streams; a plurality of sensing zones corresponding to the plurality of streams; and a plurality of sensing electrodes, wherein each sensing electrode is disposed in a corresponding sensing zone of the plurality of sensing zones and configured to detect a change in electrical impedance as the liquid sample flows through the plurality of sensing zones.