Techniques and technologies for automated microscopy scanning systems are disclosed wherein a microscopy system performs hunt mode operations at coarsely-spaced locations throughout a scanning window until an acceptable quality scan result is achieved. The system then performs detailed scans at all fields of view within a grid cell that includes the location having the acceptable scan result. The system performs another evaluation of the scan results for the entire grid cell, and if the scan results for the grid cell are collectively acceptable, then the system proceeds to perform scan mode operations. The scan mode operations include scanning and evaluating all of the fields of view within one or more grid cells adjacent to the acceptable grid cell from the hunt mode operations. The system may successively perform hunt mode operations and scan mode operations, compiling information regarding one or more aspects of the scanning process, until one or more termination criteria are satisfied.

The present disclosure provides systems and methods for sorting a cell. The system may comprise a flow channel configured to transport a cell through the channel. The system may comprise an imaging device configured to capture an image of the cell from a plurality of different angles as the cell is transported through the flow channel. The system may comprise a processor configured to analyze the image using a deep learning algorithm to enable sorting of the cell,

Embodiments of the invention relate to a method and apparatus for measuring at least one parameter that is (i) descriptive of stochastic motion of suspended particles within a fluid; and/or (ii) is a rheological property of the fluid or of the suspension; (iii) describes a concentration of suspended particles within the fluid; and/or (iv) is a diffusion coefficient of the suspended particles and/or (iv) is a viscosity of the fluid or of the suspension; and/or (v) is a food aging or spoilage parameter and/or (vii) is an in-vivo or in-vitro blood coagulation parameter.

The present disclosure relates to the field of medical technology, which provides methods and apparatuses for identifying red blood cells infected by plasmodium. The methods may include: obtaining a forward-scattered light signal, a side-scattered light signal and an optional fluorescence signal from cells in a blood sample; obtaining a first two-dimensional scattergram according to the forward-scattered light signal and the side-scattered light signal, or obtaining a three-dimensional scattergram according to the forward-scattered light signal, the side-scattered light signal and the fluorescence signal; and identifying cells located in a predetermined area of the first two-dimensional scattergram or the three-dimensional scattergram as the red blood cells infected by plasmodium. The apparatuses perform the methods. The methods and apparatuses can have better identification accuracy.

Disclosed in one aspect is a method for performing a complete blood count (CBC) on a sample of whole blood by metering a predetermined amount of the whole blood and mixing it with a predetermined amount of diluent and stain and transferring a portion thereof to an imaging chamber of fixed dimensions and utilizing an automated microscope with digital camera and cell counting and recognition software to count every white blood cell and red blood corpuscle and platelet in the sample diluent/stain mixture to determine the number of red cells, white cells, and platelets per unit volume, and analyzing the white cells with cell recognition software to classify them.

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.

A microfluidic test apparatus including a microfluidic device having a first reservoir for receiving a first fluid containing a sample of cells, a microfluidic test region, a first microfluidic pathway provided between the microfluidic test region and the first reservoir; and a port for connection to a pump, the apparatus including a first pump connected to the port and configured to pump a priming fluid into the port, a second pump connected to the port and configured to apply suction at the port when operated and a controller configured to control operation of the first and second pumps, where the controller operates the first pump to prime the microfluidic device and operates the second pump to draw a test volume from the first reservoir into the microfluidic test region.

Aspects of the present disclosure include methods for detecting events in a flow cytometer. Also provided are methods of detecting cells in a flow cytometer. Other aspects of the present disclosure include methods for determining a level of contamination in a flow cell. Computer-readable media and systems, e.g., for practicing the methods summarized above, are also provided.

The disclosure provides devices, device systems, and methods for analyzing cells (e.g., blood cells) or particles in a sample. In some embodiments, the disclosure provides various devices and device systems including: a light source; a collecting lens; and one, two, or more detectors. In other embodiments, the devices and device systems include a flow cell or a cartridge device with a flow cell. In further embodiments, the disclosure provides various methods including the steps of: using a light source to emit an irradiation light; using the irradiation light to illuminate a sample flow; using a collecting lens to collect both scattered light and fluorescent light from the sample flow; and using one, two, or more detectors to detect the collected scattered light and fluorescent light. Optionally, these methods include using a flow cell to form a sample flow.

Disclosed herein is a device for characterizing a biological sample or an airborne sample. According to embodiments of the present disclosure, the device comprises an electrospray source, a mass analyzer, a charge detector, and optionally, an ion guide. The present device is useful in analyzing the particle population in the biological or airborne sample based on the mass to charge (m/z) ratio and the charge (z) of each particle. Also disclosed herein are the methods of making a diagnosis of cancer by use of the present device, and methods of determining the mass distribution of particles in an airborne sample.