Automated selection of obscuration, agitation, and sonication settings helps non-experts achieve stable, reproducible laser diffraction sizing.
Direct analysis of light-scattering detector signals with a trained ML model enables quasi-real-time particle shape and size detection.
Solidifying the continuous phase allows parallel imaging of microdroplets, resolving throughput limits in gene expression diagnostics.
A matrix photodetector captures transmitted light through a biological sample to quantify particle agglutination levels.
A sample analyzer combines impedance and optical testing channels to obtain platelet counting results for blood samples.
A detection module disaggregates and reaggregates erythrocytes to capture optical scattering data for rapid measurement.
An automated sample analysis system applies optical imaging to flag abnormal blood specimens and directs the controller to initiate precise retesting.
Fluorescent imaging distinguishes individual platelets from clumps using emission intensity, area, and shape analysis to resolve counting inaccuracies.
Laser speckle imaging detects agglomeration during pharmaceutical drying by analyzing scattered light correlations to enable real-time feedback control.