Abstract: The present application discloses a test tube rotating mechanism and a production-line sample conveying system. The test tube rotating mechanism includes: a first rolling structure and a second rolling structure, where the first rolling structure and the second rolling structure are distributed along the conveying direction of a conveying track, each of the outer side surfaces of the first rolling structure and the second rolling structure has a tangent point with the peripheral wall of any test tube holder on the conveying track to limit the movement of the test tube holder, and the rolling of the first rolling structure and the second rolling structure relative to the test tube holder cause the test tube holder to rotate; and a transmission structure, where the transmission structure drives the first rolling structure and the second rolling structure to move away from and approach the conveying track.

Abstract: A radiation treatment planning system can include a machine learning system that receives patient data, including an image scan (e.g., CT scan) and contour(s), a physician prescription, including planning target and dose, and device (radiation beam) data and outputs predicted fluence maps. The machine learning system includes at least two stages, where a stage of the at least two stages includes converting image scans from the patient data to projection images. A treatment planning system can receive the predicted fluence maps and generates treatment plans without performing inverse optimization.

Abstract: Systems, methods and computer program code are provided to process an input data object from a data source, including identifying at least a first collector associated with the data source, adding the input data object to a queue of the at least first collector, and applying a post-queue workflow to the input data object to determine whether to pass the input data object from the queue to an output data sink.

Abstract: Systems, methods and computer program code are provided to perform an annotation workflow on an input and includes receiving information associated with an output from a model, the output generated based on application of the model to the input, identifying a first threshold model that applies to the information associated with the output, determining that the information associated with the output satisfies a threshold of the first threshold model, writing the output based on an action specified by the first threshold model, and updating an annotation user interface based on the action specified by the first threshold model.

Abstract: A radiation treatment planning system can include a machine learning system that receives patient data, including an image scan (e.g., CT scan) and contour(s), a physician prescription, including planning target and dose, and device (radiation beam) data and outputs predicted fluence maps. The machine learning system includes at least two stages, where a stage of the at least two stages includes converting image scans from the patient data to projection images. A treatment planning system can receive the predicted fluence maps and generates treatment plans without performing inverse optimization.

Abstract: Systems and methods for radiation treatment planning based on a model of planning strategies knowledge including treatment states and treatment actions are disclosed. According to an aspect, a method includes receiving geometric characterization data of a target volume for radiation treatment of a patient. The method also includes receiving geometric characterization data of at least one organ at risk proximate the target volume. Further, the method includes constructing a model for applying a predetermined radiation dosage to the target volume based on the received data. The model includes treatment states and associated treatment actions selectable to implement at each state. The method includes presenting information about at least one treatment state, the treatment actions associated with the at least one treatment state, and the rewards associated with the treatment actions associated with the at least one treatment state. The method also includes reconstructing the model.

Abstract: Systems and methods for automatic, customized radiation treatment plan generation for cancer are disclosed. According to an aspect, a method includes receiving data indicating anatomy information of a patient and radiation beam characteristics of a radiation therapy system. Further, the method includes determining energy levels for application of radiation beams to the patient.

Abstract: Systems and methods for radiation treatment planner training based on knowledge data and trainee input of planning actions are disclosed. According to an aspect, a method includes receiving case data including anatomical and/or geometric characterization data of a target volume and one or more organs at risk. Further, the method includes presenting, via a user interface, the case data to a trainee. The method also includes receiving input indicating an action to apply to the case. The input indicating parameters for generating a treatment plan that applies radiation dose to the target volume and one or more parameters for constraining radiation to the one or more organs at risk. The method includes applying training models to the action and the case data to generate analysis data of at least one parameter of the action. The method includes presenting the analysis data of the at least one parameter of the action.

Abstract: Systems and methods for radiation treatment planning based on a model of planning strategies knowledge including treatment states and treatment actions are disclosed. According to an aspect, a method includes receiving geometric characterization data of a target volume for radiation treatment of a patient. The method also includes receiving geometric characterization data of at least one organ at risk proximate the target volume. Further, the method includes constructing a model for applying a predetermined radiation dosage to the target volume based on the received data. The model includes treatment states and associated treatment actions selectable to implement at each state. The method includes presenting information about at least one treatment state, the treatment actions associated with the at least one treatment state, and the rewards associated with the treatment actions associated with the at least one treatment state.

Abstract: Systems and methods for automatic, customized radiation treatment plan generation for cancer are disclosed. According to an aspect, a method includes receiving data indicating anatomy information of a patient and radiation beam characteristics of a radiation therapy system. Further, the method includes determining energy levels for application of radiation beams to the patient.

Abstract: An optical glare protection filter for a glare protection device includes at least one liquid-crystal cell with at least one liquid-crystal layer and at least one first electrode layer for orienting crystal molecules of the at least one liquid-crystal layer, and with at least one first contact element for electrically contacting the at least one first electrode layer. The optical glare protection filter may also include at least one second contact element for electrically contacting the at least one first electrode layer, which is substantially spaced apart from the first contact element.

Abstract: An optical glare protection filter for a glare protection device includes at least one liquid-crystal cell with at least one liquid-crystal layer and at least one first electrode layer for orienting crystal molecules of the at least one liquid-crystal layer, and with at least one first contact element for electrically contacting the at least one first electrode layer. The optical glare protection filter may also include at least one second contact element for electrically contacting the at least one first electrode layer, which is substantially spaced apart from the first contact element.

Abstract: Systems and methods for automated radiation treatment planning with decision support are disclosed. According to an aspect, a method includes receiving data based on patient information and geometric characterization of one or more organs at risk and a cancer target of a patient. The method also includes determining the appropriate models and model settings for the given patient case. Further, the method includes generating automatically one or more radiation treatment plans using the proper models learned from a plurality of radiation treatment plans of prior patient cases based on certain relationships, including one of a match or similarity, between the patient information and geometric characterization of the patient and the other patients. The method also includes presenting the determined one or more radiation treatment plans via a user interface.

Abstract: Optical multiplexers and demultiplexers are provided. In one implementation an apparatus is provided. The apparatus includes a first laser diode pair, a second laser diode pair, a polarization rotator coupled between the first and the second laser diode pairs, and an output port. The first and second laser diode pairs include a first laser diode, a polarization beam splitter, a first quarter waveplate, a filter; a second quarter waveplate, and a second laser diode. The first and second laser diode pairs are coupled to the polarization rotator at the polarization beam splitter of each laser diode pair. In one implementation the apparatus is operable to multiplex distinct light signals emitted from the first and second laser diodes. In another implementation, an apparatus is provided that is operable to demultiplex an input light beam having a plurality of distinct channels.

Abstract: An improved button structure is composed of a pillar element and a zinc casting body. The pillar element is provided with a hollow cylinder at the bottom and an expanding disk, which is provided with pluralities of hollow-out holes, on the top. The zinc casting body is provided with a smooth plane at the upper surface, and pluralities of engaging posts, which have positioning portions, at the bottom surface. The hollow-out holes of the pillar element are mounted on the engaging posts of the zinc casting body, such that the pillar element can be positioned at the positioning portions of the engaging posts and further mortised to lock to the top end of the engaging posts which extrude out of the disk to form blunt heads to accomplish a firm combination, thereby enhancing the benefit in production.

Abstract: Optical multiplexers and demultiplexers are provided. In one implementation an apparatus is provided. The apparatus includes a first laser diode pair, a second laser diode pair, a polarization rotator coupled between the first and the second laser diode pairs, and an output port. The first and second laser diode pairs include a first laser diode, a polarization beam splitter, a first quarter waveplate, a filter; a second quarter waveplate, and a second laser diode. The first and second laser diode pairs are coupled to the polarization rotator at the polarization beam splitter of each laser diode pair. In one implementation the apparatus is operable to multiplex distinct light signals emitted from the first and second laser diodes. In another implementation, an apparatus is provided that is operable to demultiplex an input light beam having a plurality of distinct channels.