Abstract: A system includes a plurality of nanopore cells. Data corresponding to nanopore states of the plurality of nanopore cells is received. The data is analyzed to determine a compressed output size of the data given at least one compression technique. It is determined whether the compressed output size exceeds a data budget. In the event it is determined that the compressed output size exceeds the data budget, the data is modified. The modified data is outputted.

Abstract: Methods, systems, and apparatuses are provided for creating and using a machine-leaning model to call a base at a position of a nucleic acid based on intensity values measured during a production sequencing run. The model can be trained using training data from training sequencing runs performed earlier. The model is trained using intensity values and assumed sequences that are determined as the correct output. The training data can be filtered to improve accuracy. The training data can be selected in a specific manner to be representative of the type of organism to be sequenced. The model can be trained to use intensity signals from multiple cycles and from neighboring nucleic acids to improve accuracy in the base calls.

Abstract: Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a respirator model in a deformed state to a specific facial model. In an illustrative example, an internal measurement may be calculated between an inside part of the respirator model and the facial model. The internal measurement may be compared against a predetermined threshold to determine a fit of the respirator model, for example. In various implementations, the internal measurement may be a distance and/or a volume between the respirator and facial model. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

Abstract: Methods, systems, and devices are described for identifying noisy regions in a skin conductance signal. The signal is divided into a plurality of windows. Two or more features of the signal within a first window are computed. At least one of the two or more features being in a frequency domain. At least two of the features are combined to obtain at least a first metric. The first metric is compared to a corresponding threshold. The first window is identified as a noisy region of the skin conductance signal based on the comparison.

Abstract: Systems in a flow cytometer having an interrogation zone and illumination impinging the interrogation zone include: a lens subsystem including a collimating element that collimates light from the interrogation zone, a light dispersion element that disperses collimated light into a light spectrum, and a focusing lens that focuses the light spectrum onto an array of adjacent detection points; a detector array, including semiconductor detector devices, that collectively detects a full spectral range of input light signals, in which each detector device detects a subset spectral range of the full spectral range of light signals; and a user interface that enables a user to create a set of virtual detector channels by grouping detectors in the detector array, such that each virtual detector channel corresponds to a detector group and has a virtual detector channel range including the sum of subset spectral ranges of the detectors in the corresponding detector group.

Abstract: A method comprises obtaining results of metagenomics sequencing performed on biological samples from respective sample sources, identifying particular ones of the biological samples that are related to a disease, infection or contamination based at least in part on the results of metagenomics sequencing, generating a genomic comparison component comprising hit abundance score vectors for respective ones of the identified samples, generating an epidemiologic comparison component comprising a graph in which nodes corresponding to patients are connected in the graph based at least in part on patient comparative indexes, collectively processing portions of the genomic comparison component with portions of the epidemiologic comparison component to further characterize the disease, infection or contamination, and updating a profile of the disease, infection or contamination based at least in part on the further characterization.