Abstract: In an embodiment of the subject matter described herein a system is provided. The system includes a portable host system having one or more processors and a memory for storing a plurality of applications. The one or more processors configured to execute programmed instructions of a select application by performing one or more operations, which include obtain a set of frames of 2D ultrasound images, develop a prospect model indicating a likelihood that frames within the set include an organ of interest (OOI), identify primary and secondary reference frames from the set of the frames based on the prospect model, determine a characteristic of interest in the primary reference frame, select a candidate shape for the OOI based on the character of interest in the primary reference frame, and adjust the candidate shape based on the secondary reference frames to form a resultant shape for the OOI.

Abstract: A method for determining a respiration rate of a subject, includes receiving a first signal and a second signal, each signal being representative of a physiological parameter of the subject. The method includes removing a cardiac artifact signal from the first signal and the second signal to generate a first processed signal and a second processed signal respectively. The method includes removing a motion artifact signal from the first processed signal and the second processed signal to generate a first periodic signal and the second processed signal respectively. The method further includes removing a residual noise signal from the first periodic signal and the second periodic signal to generate a first noise free signal and the second noise free signal respectively. The method includes generating a combined value from a first value and a second value based on the first noise free signal and the second noise free signal respectively.

Abstract: In an embodiment of the subject matter described herein a system is provided. The system includes a portable host system having one or more processors and a memory for storing a plurality of applications. The one or more processors configured to execute programmed instructions of a select application by performing one or more operations, which include obtain a set of frames of 2D ultrasound images, develop a prospect model indicating a likelihood that frames within the set include an organ of interest (OOI), identify primary and secondary reference frames from the set of the frames based on the prospect model, determine a characteristic of interest in the primary reference frame, select a candidate shape for the OOI based on the character of interest in the primary reference frame, and adjust the candidate shape based on the secondary reference frames to form a resultant shape for the OOI.

Abstract: A multimode detection system for detecting one or more samples is provided. The detection system comprises an electromagnetic radiation source, a reference arm, and a sample arm comprising a sensing substrate having a plurality of sample fields, wherein the sample fields are configured to receive the one or more samples. The system further comprises a phase difference generator configured to introduce pathlength differences in the reference arm, sample arm, or both, a spatial light modulator operatively coupled to the reference arm, sample arm, or both, wherein the spatial light modulator is configured to modulate incident radiation, resultant radiation, or both in the reference arm, sample arm, or both, and an imaging spectrometer configured to discriminate between two or more spatially separated sample en two or more spatially separated sample fields.

Abstract: A method for determining a respiration rate of a subject, includes receiving a first signal and a second signal, each signal being representative of a physiological parameter of the subject. The method includes removing a cardiac artifact signal from the first signal and the second signal to generate a first processed signal and a second processed signal respectively. The method includes removing a motion artifact signal from the first processed signal and the second processed signal to generate a first periodic signal and the second processed signal respectively. The method further includes removing a residual noise signal from the first periodic signal and the second periodic signal to generate a first noise free signal and the second noise free signal respectively. The method includes generating a combined value from a first value and a second value based on the first noise free signal and the second noise free signal respectively.

Abstract: A method for classifying a tissue sample of a biopsy specimen into one of a plurality of classes is presented. The method includes receiving a light from at least one location of the tissue sample including a plurality of chromophores, wherein the received light comprises at least one of an attenuated illumination light and a re-emitted light. The method further includes processing a spectrum of the received light to determine a feature for each of the chromophores in the at least one location of the tissue sample. In addition, the method includes estimating a Z-score for each of the chromophores based on the determined feature. Also, the method includes classifying the tissue sample into one of the plurality of classes based on the estimated Z-score for each of the chromophores.

Abstract: A method for classifying a tissue sample of a biopsy specimen into one of a plurality of classes is presented. The method includes receiving a light from at least one location of the tissue sample including a plurality of chromophores, wherein the received light comprises at least one of an attenuated illumination light and a re-emitted light. The method further includes processing a spectrum of the received light to determine a feature for each of the chromophores in the at least one location of the tissue sample. In addition, the method includes estimating a Z-score for each of the chromophores based on the determined feature. Also, the method includes classifying the tissue sample into one of the plurality of classes based on the estimated Z-score for each of the chromophores.

Abstract: A detection system for a two-dimensional (2D) array is provided. The detection system comprises an electromagnetic radiation source, a phase difference generator, a detection surface having a plurality of sample fields that can receive samples, and an imaging spectrometer configured to discriminate between two or more spatially separated points.

Abstract: A multimode detection system for detecting one or more samples is provided. The detection system comprises an electromagnetic radiation source, a reference arm, and a sample arm comprising a sensing substrate having a plurality of sample fields, wherein the sample fields are configured to receive the one or more samples. The system further comprises a phase difference generator configured to introduce pathlength differences in the reference arm, sample arm, or both, a spatial light modulator operatively coupled to the reference arm, sample arm, or both, wherein the spatial light modulator is configured to modulate incident radiation, resultant radiation, or both in the reference arm, sample arm, or both, and an imaging spectrometer configured to discriminate between two or more spatially separated sample en two or more spatially separated sample fields.

Abstract: A detection system for a two-dimensional (2D) array is provided. The detection system comprises an electromagnetic radiation source, a phase difference generator, a detection surface having a plurality of sample fields that can receive samples, and an imaging spectrometer configured to discriminate between two or more spatially separated points.

Abstract: An optical sensing device is provided. The device comprises a cavity defined by at least an anomalous reflective element having an anomalous reflection surface, and a non-absorptive element having a non-absorptive reflection surface disposed in a direction away from the anomalous reflection surface.