Abstract:
Systems and methods described herein employ multiple phase-contrast images with various relative phase shifts between light diffracted by a sample and light not diffracted by the sample to produce a quantitative phase image. The produced quantitative phase image may have sufficient contrast for label-free auto-segmentation of cell bodies and nuclei.
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 includes receiving a signal from at least one location of the tissue sample including a plurality of chromophores. Further, the method includes verifying whether the received signal comprises a predetermined amount of at least one of an attenuated illumination light and a re-emitted light. Also, the method includes determining that a spectrum of the received signal is within a predetermined range. In addition, the method includes processing the spectrum of the received signal to decompose the signal into a plurality of components. Furthermore, the method includes classifying tissue in the at least one location of the tissue sample into one of a plurality of tissue types based on the plurality of components.
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 biopsy collecting device includes a needle unit comprising a biopsy specimen. Also, the biopsy collecting device includes an activator unit operatively coupled to the needle unit and including a channel at a bottom surface of the activator unit, wherein the channel is configured to detachably couple the biopsy collecting device to an attaching unit of a spectroscopy system.
Abstract:
A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.
Abstract:
A cleaning system and method use an ultrasound probe, a coupling mechanism, and a controller to clean equipment of a vehicle system. The ultrasound probe enters into an engine. The ultrasound probe emits ultrasound pulses and the coupling mechanism provides an ultrasound coupling medium between the ultrasound probe and one or more components of the engine. The controller drives the ultrasound probe to deliver the ultrasound pulse through the coupling medium to a surface of the one or more components of the engine. The ultrasound probe delivers the ultrasound pulse to remove deposits from the one or more components of the engine.
Abstract:
A method for classifying a tissue sample of a biopsy specimen includes receiving a signal from at least one location of the tissue sample including a plurality of chromophores. Further, the method includes verifying whether the received signal comprises a predetermined amount of at least one of an attenuated illumination light and a re-emitted light. Also, the method includes determining that a spectrum of the received signal is within a predetermined range. In addition, the method includes processing the spectrum of the received signal to decompose the signal into a plurality of components. Furthermore, the method includes classifying tissue in the at least one location of the tissue sample into one of a plurality of tissue types based on the plurality of components.
Abstract:
A cleaning system and method use an ultrasound probe, a coupling mechanism, and a controller to clean equipment of a vehicle system. The ultrasound probe enters into an engine. The ultrasound probe emits ultrasound pulses and the coupling mechanism provides an ultrasound coupling medium between the ultrasound probe and one or more components of the engine. The controller drives the ultrasound probe to deliver the ultrasound pulse through the coupling medium to a surface of the one or more components of the engine. The ultrasound probe delivers the ultrasound pulse to remove deposits from the one or more components of the engine.
Abstract:
Waveguides having improved illumination distribution and output luminance variation and lighting systems utilizing such waveguides are disclosed. The lighting systems generally include a light source which is optically coupled to a waveguide to distribute the light. The waveguides include one or more headlighting reduction regions and one or more output intensity shaping regions that work together to improve the distribution of light and reduce the effects of headlighting. The headlighting reduction regions may be integrated with the output intensity shaping region or may be an independent section.