Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

Principal components analysis (PCA) is a common dimension-reduction tool that transforms a set of variables into a linearly uncorrelated set of variables. Standard PCA estimators involve either the ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

Researchers 3D printed a mini quadrupole mass filter, a key component of a mass spectrometer, that performs as well as some commercial-grade devices. It can be fabricated in hours for a few dollars ...

The new OEM laser profiler VC picoSmart 3D has integrated processors for 3D profile data analysis and additional image processing tasks. It contains a miniaturized embedded vision system with a ...