Abstract: A system of evaluating a mobile device includes an imaging device to capture data taken along an edge of the mobile device; and a processing device to process the data and calculate a difference in distance between a surface of a display and a frame of the mobile device and compare the difference in distance to a predetermined value.

Abstract: Disclosed are systems and methods for facilitating compound identification based on analytical data obtained from an analytical instrument such as, for example, a mass spectrometer.

Abstract: Systems, apparatus, and computer-readable storage media are disclosed for analyzing samples of a well plate. Systems may include a well plate, a mass spectrometer, and a computing device. The well plate may include rows of wells. The mass spectrometer may sequentially capture a sample from each well of the rows of wells and generate spectral data that includes mass spectrum data for each captured sample. The computing device may receive the spectral data generated by the mass spectrometer, detect rows of spectral data in the spectral data, wherein each row of spectral data corresponds to a row of wells in the well plate; and generate a spectral data matrix from the detected rows of spectral data such that each row of wells comprises a corresponding row of spectral data in the spectral data matrix.

Abstract: This application relates to apparatus and methods for automatically configuring devices under test to allow for the loading of software, such as firmware and applications, onto the devices under test. In one example, a testing system includes a testing frame with multiple cabinets. Each cabinet houses a device, such as a smartphone. The testing system also includes a testing computer communicatively coupled to the devices, such as through a USB connection. The testing computer may receive, from a database, workflow data for each type of device. The workflow data characterizes a workflow to follow to configure each type of device. For each device, the testing computer determines human interface device (HID) actions based on the workflow data corresponding to the device. Further, the testing computer transmits the corresponding HID actions to each device, causing the devices to perform one or more configuration operations to allow for the loading of software.

Abstract: A method for performing mass spectrometry (MS) comprises receiving MS data corresponding to a plurality of MS runs, wherein MS data corresponding to an MS run of the plurality of MS runs comprises detected intensities for a plurality of mass over charge ratios (MZ values) during the MS run; finding a recurrent MZ value of the plurality of MZ values, wherein a detected intensity for the recurrent MZ value appears as a recurrent peak in MS data corresponding to a subset of the plurality of MS runs; and the subset of the plurality of MS runs includes at least two MS runs of the plurality of MS runs; and identifying the recurrent MZ value as corresponding to a background ion.

Abstract: Methods and systems for identifying analytes in a sample using mass spectrometry are provided. A method for identifying analytes in mass spectrometry data comprises: introducing a sample to a mass spectrometer; analyzing the sample with the mass spectrometer in a plurality of cycles; generating, for each cycle, a mass spectrum comprising at least one peak; annotating peaks in the mass spectrum based on their relationships; assigning best ion types to each peak; processing each cycle of the mass spectrum to assign a score to each of the at least one peak thereof with respect to the likely neutral mass related to the peak; grouping peaks that share a common neutral mass; and outputting the analyte neutral mass.

Abstract: Methods and systems for building and using an analyte library are provided. One aspect is a method for building an analyte library, the method comprising receiving mass spectrum data from analysis of a sample using mass spectrometry, mass spectrum data including a mass spectrum and a sample matrix, and the sample including an analyte, identifying peaks in the mass spectrum, assigning at least one ion type to the peaks, annotating the peaks for the analyte based on the sample matrix, extracting an ion fingerprint for the analyte based on the annotated peaks and storing an analyte identification entry including the ion fingerprint for the analyte.

Abstract: In one aspect, a method of operating a mass spectrometer is disclosed, which comprises ionizing a sample to generate a plurality of ions, and introducing at least a portion of the ions into an inlet orifice of the mass spectrometer. At least a portion of the ions and/or fragments thereof is detected by a downstream detector to generate a plurality of ion detection events, and the ion detection events are monitored to determine an ion count. The ion count is compared with a reference level to determine whether the detected level exceeds the reference level.

Abstract: Methods and systems for identifying one or more analytes in a sample are provided. One aspect is a method of predicting an identity of analytes in an unknown sample, the method comprising accessing a database comprising a plurality of results from analyzing samples using mass spectrometry to identify analytes, the plurality of results including annotated ion fingerprints, training a machine learning model with the plurality of results, and applying the machine learning model to the unknown sample to predict an identity of one or more analytes in the unknown sample.

Abstract: A method of operating a system including a differential mobility spectrometer (DMS) and a mass spectrometer. A sample is introduced to the DMS. The sample is analyzed with the DMS. Data is generated based at least in part on an analyte ion generated from the sample and at least one transport gas composition. Library data of the analyte ion is accessed from a library. The generated data is compared to the library data. A signal is sent when the generated data deviates from the library data by more than a predetermined threshold.

Abstract: Systems and methods for performing mass analysis. An example method may include ejecting, from a first well of a well plate, a first sample into a transport fluid; ionizing the first sample and the transport fluid to generate first ions; detecting the first ions over a first period of time; and when a count rate of the detected first ions is above a background count rate threshold, accumulating a count of the detected first ions. The method may also include ejecting, from a second well of the well plate, a second sample into the transport fluid; ionizing the second sample and the transport fluid to generate second ions; detecting the second ions over a second period of time; and when a count rate of the detected second ions is above the background count rate threshold, accumulating a count of the detected second ions.

Abstract: Methods and systems for improving peak integration in mass spectrometry. A method may include accessing an ion data series; generating a set of prospective peak integrations for a target peak in the ion data series; providing, as input to a trained machine learning model, at least one peak characteristic for each prospective peak integration in the set of prospective peak integrations; processing the provided input, by the trained machine learning model, to generate an output from the trained machine learning model; based on the output, generating a ranking of one or more of the prospective peak integrations; and based on one of the prospective peak integrations, generating an ion amount represented by the target peak.

Abstract: Systems and methods for defect detection on displays are disclosed according to various embodiments. In one example, a disclosed method for detecting defects on an electronic device display comprises connecting an electronic device to a server computer having a processor and a non-transitory computer readable storage medium storing test software for testing the electronic device display. The method further comprises displaying an outline on the electronic device display, where the outline traces a perimeter of the electronic device display, and where the outline comprises pixels of a first color. The first color differs from a color of a pixel that is not on the perimeter of the electronic device display. The method further comprises capturing a digital image of the electronic device while the electronic device is displaying the outline, transmitting the digital image to the server computer, and analyzing the digital image at the server computer.

Abstract: A system includes a capillary having a first end connected to a sampling device and a second end. The sampling device is configured to separate a sample with a separation solution and deliver the sample and the separation solution to the second end. The second end is coupled to a capillary ground contact. A transport liquid supply system in fluidic communication with a transport liquid supply conduit provides a transport liquid from a transport liquid source through the transport liquid supply conduit. The transport liquid provided from the transport liquid supply conduit includes a receiving volume defined at least in part by a meniscus. The second end of the capillary is in fluidic communication with the receiving volume. A liquid exhaust system in fluidic communication with a removal conduit removes liquid from the receiving volume. An analysis system is in fluidic communication with the removal conduit.

Abstract: Methods and systems for generating verified mass analysis results for a sample. An example method may include acquiring process data for performing a mass analysis test on the sample; performing, by a mass analysis instrument, the mass analysis test based on the acquired process data to generate mass analysis results for the sample; recording machine-level characteristics for the mass analysis instrument during the mass analysis test; generating verification data that includes at least a portion of the recorded machine-level characteristics; generating a secure analytical data file that includes the verification data and at least a portion of the mass analysis results; and transmitting the secure analytical data file.

Abstract: A computer includes a processor and a computer readable storage medium accessible to the processor and bearing instructions executable by the processor to cause the processor to determine whether to apply a basic discount to an account of a seller of products based at least in part on determining whether the seller has adhered to a seller agreement. The instructions also cause the processor to determine whether to apply an efficiency discount to the account based at least in part on determining whether at least one efficiency metric has been satisfied, determine whether to apply a strategy discount to the account based at least in part on whether at least one strategy metric has been satisfied, and determine whether to apply an execution discount to the account based at least in part on whether at least one execution metric has been satisfied.