Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

A method includes receiving data for an entity for each of a plurality of time points. For each of a plurality of time windows that each comprises a respective plurality of time points, a confidence value is determined. The confidence value provides an indication of the degree to which the time window contains data that is useful in discriminating between classes. The confidence values are used to determine a probability of a class and the probability of the class is used to set a predicted class for the entity.

A method and system are provided for mixing of signals that, the method including the steps of receiving, by a processor, a first signal with a start point and an end point; playing, by the processor, the first signal in a looped manner; mixing, by the processor, a recorded second signal with a start point and an end point, over the first signal to produce a mixed signal wherein if; the second signal is shorter in length as compared to the first signal and also completely overlaps the first signal, the mixed signal is generated by; identifying a start time of second signal over play timeline of the first signal; laying the second signal over the first signal at the identified start time; if the second signal is shorter in length as compared to the first signal and also partially overlaps the first signal, the mixed signal is generated by slicing the second signal from the end point of the first signal to generate a pre end-time segment and a post end-time segment of the second signal; adding the post end-time segment of the second signal to a start point of the first signal; and if the second signal is longer in length as compared to the first signal and also partially overlaps the first signal, the mixed signal is generated by; repeating the first signal entirely through the length of the second signal.

A method and system are provided for identifying a matching signal from a signal bank that includes a plurality of signal, to a first signal. The method includes receiving, by a processor, the first signal; performing, by the processor, a spectral analysis of the first signal and the plurality of signals, the spectral analysis further includes; computing a chromatogram comprising a plurality of frames; splitting each of the plurality of frames into a plurality of pitch classes; analyzing each of the plurality of pitch classes; determining dominant pitch class from the plurality of pitch classes, wherein the dominant pitch class has highest frequency magnitude; and matching, by the processor, dominant pitch class of the first signal with dominant pitch class of at least one of the plurality of signals.

A method and system are provided for identifying a matching signal from a signal bank, that includes a plurality of signals, to a first signal, the method includes steps of; receiving, by a processor, the first signal; performing, by the processor, a spectral analysis of the first signal and the plurality of signals, the spectral analysis further includes; computing a chromatogram comprising a plurality of frames; splitting each of the plurality of frames into a plurality of pitch classes; analyzing each of the plurality of pitch classes; determining dominant pitch class from the plurality of pitch classes, wherein the dominant pitch class has highest frequency magnitude; and matching, by the processor, dominant pitch class of the first signal with dominant pitch class of at least one of the plurality of signals.

A method of reading a coupon channel that displays a test section pattern after being exposed to a target substance, the method uses a device having a computer readable memory, digital camera, logic assembly and user interface; providing a pixel target intensity profile; placing the coupon in the device and exposing the coupon channel to a test fluid mixture; automatically using the digital camera to take a digital image of the coupon channel test section after the exposure. The improvement in the method includes finding the contiguous set of pixels from the test section of the coupon channel that best matches the intensity profile of the target pattern representation and determining if this best match set of pixels exceeds a similarity threshold and in response to a best match set of pixels passing the similarity threshold, automatically providing a human perceptible indication that the target substance has been detected.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

A method of reading a coupon channel that displays a test section pattern after being exposed to a target substance, the method uses a device having a computer readable memory, digital camera, logic assembly and user interface; providing a pixel target intensity profile; placing the coupon in the device and exposing the coupon channel to a test fluid mixture; automatically using the digital camera to take a digital image of the coupon channel test section after the exposure. The improvement in the method includes finding the contiguous set of pixels from the test section of the coupon channel that best matches the intensity profile of the target pattern representation and determining if this best match set of pixels exceeds a similarity threshold and in response to a best match set of pixels passing the similarity threshold, automatically providing a human perceptible indication that the target substance has been detected.

A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.