Abstract: The present disclosure provides materials and methods to link imaging and sequencing measurements of a single cell. Sequencing information can be linked with phenotypic measurements that are not directly encoded in the genome such as morphological features, protein expression & localization, organelle dynamics, or the metabolic composition of a cell.

Abstract: Machine learning for optically identifying user motions is provided. An optical path is formed as light travels through a portion of the user's body and is sampled by optical sensors to form a set of signals which vary as a function of the user's tissue configuration in the optical path. These signals are preprocessed at least by suppressing signal baselines in real-time during operation, which allows for improved low-latency detection of user motions via a trained statistical model which is more robust to variability in optical paths and tissue configuration.

Abstract: An example of a kit includes a library preparation fluid, a sample fluid, and an enrichment fluid. The library preparation fluid includes library preparation beads, where each library preparation bead includes a first solid support, and a transposome attached to the first solid support. The fluid includes a genomic deoxyribonucleic acid sequence. The enrichment fluid includes target capture beads, where each target capture bead includes a second solid support, and capture probes attached to the second solid support. Each of the capture probes includes a single stranded deoxyribonucleic acid sequence that is complementary to a targeted region of the genomic deoxyribonucleic acid in the sample fluid.