A bioaerosol detector is operated in accordance with one or more first inputs. Operating the bioaerosol detector includes filtering pathogens from the air, extracting genetic material from the filtered pathogens, and analyzing the extracted genetic material to identify the filtered pathogens. While operating the bioaerosol detector in accordance with the one or more first inputs, a change is identified in an operating condition for the bioaerosol detector. In response, the bioaerosol detector is operated in accordance with one or more second inputs. At least one input of the one or more second inputs is distinct from a respective input of the one or more first inputs.

Examples herein provide a device. The device includes a sample delivery component, which includes: a reagent chamber to contain at least one reagent; a sample chamber to contain a fluid sample; and a delivery channel extending from the reagent chamber and in fluid communication with the sample chamber and an output port, wherein the delivery channel is conducive mixing the at least one reagent and the fluid sample to form a mixture before the mixture reaches the output port and be discharged therefrom. The device includes a testing cassette detachable from the delivery component, which includes: an input port in fluid communication with a microfluidic reservoir, the input port to receive the discharged fluid sample from the output port; and a micro-fabricated integrated sensor in a microfluidic channel extending from the microfluidic reservoir.

Defect detection systems include at least one nozzle for delivering a CO.sub.2 particulate fluid to an inlet end of a plugged honeycomb body. Defects in the honeycomb, if any, are determined by monitoring CO.sub.2 particulate flow at the outlet end of the honeycomb body. Methods for detecting defects in plugged honeycomb bodies are also disclosed.

An airborne biological particle monitoring device collects particles floating in air. The monitoring device includes a processor, a camera sensor, and a set of approximately monochromatic illumination sources that correspond to a set of spectral curves. The camera sensor captures images of the particles providing a spectral analysis of the particles. The processor analyzes the images to identify the collected particles.

The present disclosure relates to a field programmable gate array (FPGA)-based multi-channel dynamic light scattering (DLS) autocorrelation system and method. The system includes a DLS generation apparatus, a photon correlator, and a host computer, where the photon correlator includes an FPGA and a universal serial bus (USB) communication module; the DLS generation apparatus is connected to the FPGA; the FPGA is configured to count and perform correlation calculation on photon pulses generated by the DLS generation apparatus; the USB communication module is connected to the host computer; the FPGA includes a dual counter module and a correlation calculation module; the dual counter module is connected to the DLS generation apparatus and the correlation calculation module; the correlation calculation module is connected to the USB communication module; the dual counter module includes a plurality of dual counters; and the correlation calculation module includes a plurality of correlators.

A method of manufacturing a display apparatus, the method includes supplying, from an ejector, a droplet onto a plane, capturing an image of the droplet, calculating a first luminance of a first area of the plane, the first area including a planar area of the droplet, and calculating a concentration of particles contained in the droplet based on the first luminance.

A method of manufacturing a display apparatus, the method includes supplying, from an ejector, a droplet onto a plane, capturing an image of the droplet, calculating a first luminance of a first area of the plane, the first area including a planar area of the droplet, and calculating a concentration of particles contained in the droplet based on the first luminance.

One variation of a pathogen detection system includes an air sampler and a cartridge. The air sampler includes: a housing defining an inlet and an outlet; a tunnel arranged within the housing and extending between the inlet and the outlet; a charge electrode arranged within the tunnel proximal the inlet; a cartridge receptacle arranged proximal the outlet and comprising a cartridge terminal; and a power supply configured to drive a voltage between the charge electrode and the cartridge terminal. The cartridge includes: a substrate; a collector plate arranged on the substrate and configured to collect charged bioaerosols moving through the tunnel; and a connector configured to transiently engage the cartridge receptacle to locate the substrate and the collector plate within the tunnel and electrically couple the collector plate to the cartridge terminal.

A method and system of determining a filter life are disclosed. In examples, a method comprises capturing aerosol particles on a filter and measuring absorbance spectra of the aerosol particles captured on the filter. The method further comprises identifying one or more aerosol particle types based on the measured absorbance spectra and determining a mass accumulation of each of the one or more aerosol particle types based on the measured absorbance spectra and the aerosol particle type. The method further comprises determining a median particle size of each of the one or more aerosol particle types based on the measured absorbance spectra and the aerosol particle type and determining a filter life based on the determined mass accumulation and the determined median particle size of each of the one or more aerosol particle types.

A method and system of determining air quality are disclosed. In examples, a method comprises identifying one or more aerosol particle types based on an absorbance spectra of aerosol particles captured on a filter and determining a mass concentration of each of the one or more aerosol particle types based on the absorbance spectra and the aerosol particle type. The method further comprises detecting a median particle size of each of the one or more aerosol particle types based on a rate of change of the absorbance spectra and the aerosol particle type. The method further comprises determining an air quality metric based on the identified one or more aerosol particle types, the determined mass concentration of each of the one or more aerosol particle types, and the determined median particle size of each of the one or more aerosol particle types.