Abstract: A Huber safety needle assembly including a body, configured to receive a needle. The body further including an upper portion having a first gripping portion coupled thereto, a lower portion having a second gripping portion coupled to thereto, and a hinge mechanism. The needle having a needle tip configured to be received in the body. The hinge mechanism is configured to operably transition the body between a closed configuration and an open configuration. The closed configuration allowing at least a portion of the needle, including the needle tip, to extend below the bottom surface of the lower portion of the body. The open configuration allowing the needle tip to be securely received within the lower portion such that it does not extend below the bottom surface of the lower portion.

Abstract: Provided are a storage device, system, and method for throttling host writes in a host buffer to a storage device. The storage device is coupled to a host system having a host buffer that includes reads and writes to pages of the storage device. Garbage collection consolidates valid data from pages in the storage device to fewer pages. A determination is made as to whether a processing measurement at the storage device satisfies a threshold. A timer value is set to a positive value in response to determining that the processing measurement satisfies the threshold. The timer is started to run for the timer value. Writes from the host buffer are blocked while the timer is running. Writes remain in the host buffer while the timer is running. A write is accepted from the host buffer to process in response to expiration of the timer.

Abstract: Techniques are disclosed relating to assay configuration. Assay devices are often used to determine characteristics of test samples, e.g., using polymerase chain reaction (PCR) or Deoxyribonucleic Acid (DNA) melt techniques. Various disclosed techniques allow detailed specification of assay parameters. This may allow user modification of assays and/or assay development by third parties. In embodiments in which assay parameters are specified using a separate device, these techniques may reduce validation requirements resulting from modified assays. In some embodiments, assay configuration information that may be added/removed/modified may include: a sequence of operations, parameters for the sequence of operations, data processing parameters, call logic rules/dependencies, and/or reporting rules.

Abstract: An apparatus and method for image normalization using a Gaussian residual of fit selection criteria. The method may include acquiring a two-dimensional image of a plurality of particles, where the plurality of particles comprises a plurality of calibration particles, and identifying a calibration particle by correlating a portion of the image corresponding to the calibration particle to a mathematical model (e.g. Gaussian fit). The measured intensity of the calibration particle may then be used to normalize the intensity of the image.

Abstract: Techniques are disclosed relating to assay configuration. Assay devices are often used to determine characteristics of test samples, e.g., using polymerase chain reaction (PCR) or Deoxyribonucleic Acid (DNA) melt techniques. Various disclosed techniques allow detailed specification of assay parameters. This may allow user modification of assays and/or assay development by third parties. In embodiments in which assay parameters are specified using a separate device, these techniques may reduce validation requirements resulting from modified assays. In some embodiments, assay configuration information that may be added/removed/modified may include: a sequence of operations, parameters for the sequence of operations, data processing parameters, call logic rules/dependencies, and/or reporting rules.

Abstract: An apparatus and method for image normalization using a Gaussian residual of fit selection criteria. The method may include acquiring a two-dimensional image of a plurality of particles, where the plurality of particles comprises a plurality of calibration particles, and identifying a calibration particle by correlating a portion of the image corresponding to the calibration particle to a mathematical model (e.g. Gaussian fit). The measured intensity of the calibration particle may then be used to normalize the intensity of the image.

Abstract: An apparatus and method for image normalization using a Gaussian residual of fit selection criteria. The method may include acquiring a two-dimensional image of a plurality of particles, where the plurality of particles comprises a plurality of calibration particles, and identifying a calibration particle by correlating a portion of the image corresponding to the calibration particle to a mathematical model (e.g. Gaussian fit). The measured intensity of the calibration particle may then be used to normalize the intensity of the image.

Abstract: An apparatus and method for image normalization using a Gaussian residual of fit selection criteria. The method may include acquiring a two-dimensional image of a plurality of particles, where the plurality of particles comprises a plurality of calibration particles, and identifying a calibration particle by correlating a portion of the image corresponding to the calibration particle to a mathematical model (e.g. Gaussian fit). The measured intensity of the calibration particle may then be used to normalize the intensity of the image.

Abstract: Techniques are disclosed relating to assay configuration. Assay devices are often used to determine characteristics of test samples, e.g., using polymerase chain reaction (PCR) or Deoxyribonucleic Acid (DNA) melt techniques. Various disclosed techniques allow detailed specification of assay parameters. This may allow user modification of assays and/or assay development by third parties. In embodiments in which assay parameters are specified using a separate device, these techniques may reduce validation requirements resulting from modified assays. In some embodiments, assay configuration information that may be added/removed/modified may include: a sequence of operations, parameters for the sequence of operations, data processing parameters, call logic rules/dependencies, and/or reporting rules.

Abstract: Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.

Abstract: An apparatus and method for image normalization using a Gaussian residual of fit selection criteria. The method may include acquiring a two-dimensional image of a plurality of particles, where the plurality of particles comprises a plurality of calibration particles, and identifying a calibration particle by correlating a portion of the image corresponding to the calibration particle to a mathematical model (e.g. Gaussian fit). The measured intensity of the calibration particle may then be used to normalize the intensity of the image.

Abstract: Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.

Abstract: Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.

Abstract: Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.

Abstract: Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.

Abstract: An apparatus, system, and method for increasing measurement accuracy in imaging cytometry. The system may include a light detector configured to measure light emitted by a particle in response to a first light source, and processor coupled to the light detector. The processor may be configured create a first image by taking a first measurement of light and create a second image by interpolating the first image, where the second image has higher resolution than the first image. The processor may be configured to determine a difference between pixels of the second image and an expected distribution and discard the first measurement of light if the difference is above a predetermined threshold.

Abstract: An apparatus and method for image normalization using a Gaussian residual of fit selection criteria. The method may include acquiring a two-dimensional image of a plurality of particles, where the plurality of particles comprises a plurality of calibration particles, and identifying a calibration particle by correlating a portion of the image corresponding to the calibration particle to a mathematical model (e.g. Gaussian fit). The measured intensity of the calibration particle may then be used to normalize the intensity of the image.

Abstract: Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.

Abstract: An apparatus, system, and method for increasing measurement accuracy in imaging cytometry. The system may include a light detector configured to measure light emitted by a first particle and light emitted by a second particle, where the measured light from the second particle at least partially overlaps the measured light from the first particle in an overlap region. Additionally, the system may include a processor coupled to the light detector, where the processor is configured to determine a contribution of light from the first particle in the overlap region and determine a contribution of light from the second particle in the overlap region. The processor may also be configured to subtract the contribution of light from the second particle from the contribution of light from the first particle and determine the intensity of light emitted by the first particle.

Abstract: An apparatus, system, and method for increasing measurement accuracy in imaging cytometry. The system may include a light detector configured to measure light emitted by a first particle and light emitted by a second particle, where the measured light from the second particle at least partially overlaps the measured light from the first particle in an overlap region. Additionally, the system may include a processor coupled to the light detector, where the processor is configured to determine a contribution of light from the first particle in the overlap region and determine a contribution of light from the second particle in the overlap region. The processor may also be configured to subtract the contribution of light from the second particle from the contribution of light from the first particle and determine the intensity of light emitted by the first particle.