A particle analyzer uses a temperature sensor to detect liquid thermal changes for real-time signal correction.
An optical vortex coronagraph scatterometer separates scattered and unscattered light using spatial coherence properties.
A hyperboloid reflective chamber concentrates isotropic fluorescent radiation toward detectors using broadband coatings.
A cell analyzer shapes a laser beam spot to measure cells and nuclei with high precision.
A cell analyzer synchronizes captured images with light intensity waveforms for precise biological analysis.
Multiple spectrometers detect viral signatures in breath condensate, replacing invasive swabs and reducing test time while maintaining diagnostic accuracy.
Dual polarization laser pulses excite fluid-borne particles, enabling detailed chemical composition identification and reducing false classification rates.
Agitator moves fluid particles while imager captures images for detection.
Segmented peripheral blood smear images feed a supervised learning model to estimate total red blood cell counts, eliminating reagent costs and bias.
A rapid test device uses micromagnetic particles and fluorescent antibodies to detect pathogens in seconds.
Fusing separate flow cytometry data files with computational estimation algorithms to generate multidimensional parameter sets.
Mathematical transformations convert n-tuple biological fluid data into m-tuples for multi-dimensional cell population visualization.
Segmented sensor modules in a universal scaffold reduce manufacturing complexity while preventing single-point failures in aircraft lubricant systems.
Ultrasound phased arrays generate acoustic radiation pressure to sort fine-granular particles into distinct fractions based on detected properties.
Identifies signal peaks by calculating batch-specific noise characteristics and thresholds, reducing cross-talk interference among multiple wavelength ranges.
Integrating a liquid circulation system with illumination components stabilizes sample temperature, eliminating signal detection delays in flow cytometry.
A fine particle detection device recycles excitation light through optical separation to boost fluorescent signal strength.
Segmented lot-specific plotting normalizes complete blood count data, resolving complexity in multi-system assessment.
An in-line detection unit replaces invasive sampling with continuous optical monitoring, eliminating laboratory delays to enable immediate corrective actions.
A particle sorting apparatus uses acridine orange staining to measure blood cells with high precision.
Real-time pattern monitoring detects fluidics anomalies and triggers corrective actions, preserving data integrity without operator intervention.
Segmenting urine particle regions via RGB density distribution analysis and group-based threshold processing.
Multi-photon counting segments photon detection into discrete time intervals, expanding the quantitation range by 100-fold compared to single photon methods.
Blood cell analyzer uses dual reagent channels and waveform width detection to resolve white blood cell aggregation, ensuring accurate counting results.
A flow cytometer uses a photo-detector array and digital signal processor to generate self-triggering signals for bio-sample analysis.
A particle tracking method uses a spatially limited light intensity minimum to detect photons while moving the distribution relative to the sample.