Abstract: A system for treating an eye includes a laser light source providing photoactivating light. The system includes a scanning system to receive the photoactivating light as a laser beam and to move the laser beam over a cornea treated with a cross-linking agent. The system includes a controller that provides control signal(s) to programmatically control the laser light source and the scanning system. The control signal(s) cause the laser beam to visit region(s) of the cornea more than once according to a scan pattern and expose the region(s) to the photoactivating light. The photoactivating light causes the cross-linking agent in the exposed region(s) to react with oxygen to generate cross-linking activity in the exposed region(s). The scan pattern causes a predetermined period of time to pass between visits by the laser beam to the exposed region(s), the predetermined period of time allowing oxygen in the exposed region(s) to replenish.

Abstract: A MEMS scanning device (“Device”) includes at least (1) laser projector(s) controlled by a laser drive to project a laser beam, (2) MEMS scanning mirror(s) controlled by a MEMS drive to scan the laser beam to generate a raster scan, (3) a display configured to receive the raster scan, (4) a thermometer configured to detect a current temperature, (5) a display observing camera configured to capture an image of a predetermined area of the display, and (6) a computer-readable media that stores temperature model(s), each of which is custom-built using machine learning. The device uses the display observing camera to capture image(s) of predetermined pattern(s), which are then used to extract feature(s). The extracted feature(s) are compared with ideal feature(s) to identify a discrepancy. When the identified discrepancy is greater than a threshold, the temperature model(s) are updated accordingly.

Abstract: A MEMS scanning device (“Device”) includes at least (1) laser projector(s) controlled by a laser drive to project a laser beam, (2) MEMS scanning mirror(s) controlled by a MEMS drive to scan the laser beam to generate a raster scan, (3) a display configured to receive the raster scan, (4) a thermometer configured to detect a current temperature, (5) a display observing camera configured to capture an image of a predetermined area of the display, and (6) a computer-readable media that stores temperature model(s), each of which is custom-built using machine learning. The device uses the display observing camera to capture image(s) of predetermined pattern(s), which are then used to extract feature(s). The extracted feature(s) are compared with ideal feature(s) to identify a discrepancy. When the identified discrepancy is greater than a threshold, the temperature model(s) are updated accordingly.

Abstract: A system for treating an eye includes a laser light source providing photoactivating light. The system includes a scanning system to receive the photoactivating light as a laser beam and to move the laser beam over a cornea treated with a cross-linking agent. The system includes a controller that provides control signal(s) to programmatically control the laser light source and the scanning system. The control signal(s) cause the laser beam to visit region(s) of the cornea more than once according to a scan pattern and expose the region(s) to the photoactivating light. The photoactivating light causes the cross-linking agent in the exposed region(s) to react with oxygen to generate cross-linking activity in the exposed region(s). The scan pattern causes a predetermined period of time to pass between visits by the laser beam to the exposed region(s), the predetermined period of time allowing oxygen in the exposed region(s) to replenish.

Abstract: A MEMS scanning device (“Device”) includes at least (1) laser projector(s) controlled by a laser drive to project a laser beam, (2) MEMS scanning mirror(s) controlled by a MEMS drive to scan the laser beam to generate a raster scan, (3) a display configured to receive the raster scan, (4) a thermometer configured to detect a current temperature, (5) a display observing camera configured to capture an image of a predetermined area of the display, and (6) a computer-readable media that stores temperature model(s), each of which is custom-built using machine learning. The device uses the display observing camera to capture image(s) of predetermined pattern(s), which are then used to extract feature(s). The extracted feature(s) are compared with ideal feature(s) to identify a discrepancy. When the identified discrepancy is greater than a threshold, the temperature model(s) are updated accordingly.

Abstract: An automated process receives input tomography data and generates an optimized (customized) treatment pattern for an individual patient without relying on the physician's analysis and judgment. For example, a method for treating a cornea includes receiving tomographic data for a cornea. The method includes identifying a keratoconic defect in the cornea based on the tomographic data. The method includes segmenting the keratoconic defect into treatment zones based on predefined geometric parameters, wherein the treatment zones indicate where a cross-linking agent is to be applied on the cornea and photoactivated to treat the keratoconic defect.

Abstract: An example antimicrobial treatment system includes an illumination system configured to deliver illumination that activates a photosensitizing agent applied to a cornea. The system also includes a controller configured to control the illumination system. The controller detects an ulcerative region on a cornea and causes the illumination system to deliver the illumination to activate the photosensitizing agent applied to the ulcerative region according to a set of parameters for treating the ulcerative region. The illumination is restricted to the ulcerative region, and activation of the photosensitizing agent in the ulcerative region generates an antimicrobial effect.

Abstract: A MEMS scanning device (“Device”) includes at least (1) laser projector(s) controlled by a laser drive to project a laser beam, (2) MEMS scanning mirror(s) controlled by a MEMS drive to scan the laser beam to generate a raster scan, (3) a display configured to receive the raster scan, (4) a thermometer configured to detect a current temperature, (5) a display observing camera configured to capture an image of a predetermined area of the display, and (6) a computer-readable media that stores temperature model(s), each of which is custom-built using machine learning. The device uses the display observing camera to capture image(s) of predetermined pattern(s), which are then used to extract feature(s). The extracted feature(s) are compared with ideal feature(s) to identify a discrepancy. When the identified discrepancy is greater than a threshold, the temperature model(s) are updated accordingly.

Abstract: A system for corneal treatment includes a light source that activates cross-linking in at least one selected region of a cornea treated with a cross-linking agent. The light source delivers photoactivating light to the at least one selected region of the cornea according to a set of parameters. The system includes a controller that receives input relating to the cross-linking agent and the set of parameters. The controller includes computer-readable storage media storing: (A) program instructions for determining cross-linking resulting from reactions involving ROS including at least peroxides, superoxides, and hydroxyl radicals, and (B) program instructions for determining cross-linking from reactions not involving oxygen. The controller executes the program instructions to output a calculated amount of cross-linking in the at least one selected region of the cornea. In response to the calculated amount of cross-linking, the light source adjusts at least one value in the set of parameters.

Abstract: An example system for corneal treatment includes an illumination system to generate cross-linking in at least one selected region of a cornea treated with a cross-linking agent by delivering photoactivating light according to one or more photoactivation parameters. The system includes a controller to receive input relating to one or more treatment parameters, which include the one or more photoactivation parameters. The controller is configured to output information for adjusting the one or more treatment parameters by (A) determining from the input, a distribution of cross-links for the at least one selected region of the cornea; (B) determining, from the distribution of cross-links, a shape change for the cornea; and (C) determining, from the shape change for the cornea, a change in vision for the subject. Responsive to the output from the controller, the illumination system is configured to adjust at least one of the one or more photoactivation parameters.

Abstract: An antimicrobial treatment system comprises a wearable photoactivation device. The wearable photoactivation device includes a body configured to be positioned on a head of a subject over one or more eyes of the subject. The body includes one or more windows or openings that allow the one or more eyes to see through the body. The body includes one or more photoactivating light sources coupled to the body and configured to direct photoactivating light to the one or more eyes according to illumination parameters. The illumination parameters determine a dose of the photoactivating light that activates, according to photochemical kinetic reactions, a photosensitizer applied to the one or more eyes and generates reactive oxygen species that provide an antimicrobial effect in the one or more eyes, without substantially inducing cross-linking activity that produces biomechanical changes in the one or more eyes.

Abstract: A system for corneal treatment includes a light source that activates cross-linking in at least one selected region of a cornea treated with a cross-linking agent. The light source delivers photoactivating light to the at least one selected region of the cornea according to a set of parameters. The system includes a controller that receives input relating to the cross-linking agent and the set of parameters. The controller includes computer-readable storage media storing: (A) program instructions for determining cross-linking resulting from reactions involving ROS including at least peroxides, superoxides, and hydroxyl radicals, and (B) program instructions for determining cross-linking from reactions not involving oxygen. The controller executes the program instructions to output a calculated amount of cross-linking in the at least one selected region of the cornea. In response to the calculated amount of cross-linking, the light source adjusts at least one value in the set of parameters.

Abstract: A MEMS scanning device (“Device”) includes at least (1) laser projector(s) controlled by a laser drive to project a laser beam, (2) MEMS scanning mirror(s) controlled by a MEMS drive to scan the laser beam to generate a raster scan, (3) a display configured to receive the raster scan, (4) a thermometer configured to detect a current temperature, (5) a display observing camera configured to capture an image of a predetermined area of the display, and (6) a computer-readable media that stores temperature model(s), each of which is custom-built using machine learning. The device uses the display observing camera to capture image(s) of predetermined pattern(s), which are then used to extract feature(s). The extracted feature(s) are compared with ideal feature(s) to identify a discrepancy. When the identified discrepancy is greater than a threshold, the temperature model(s) are updated accordingly.

Abstract: An antimicrobial treatment system comprises a wearable photoactivation device. The wearable photoactivation device includes a body configured to be positioned on a head of a subject over one or more eyes of the subject. The body includes one or more windows or openings that allow the one or more eyes to see through the body. The body includes one or more photoactivating light sources coupled to the body and configured to direct photoactivating light to the one or more eyes according to illumination parameters. The illumination parameters determine a dose of the photoactivating light that activates, according to photochemical kinetic reactions, a photosensitizer applied to the one or more eyes and generates reactive oxygen species that provide an antimicrobial effect in the one or more eyes, without substantially inducing cross-linking activity that produces biomechanical changes in the one or more eyes.

Abstract: A system for corneal treatment includes a light source that activates cross-linking in at least one selected region of a cornea treated with a cross-linking agent. The light source delivers photoactivating light to the at least one selected region of the cornea according to a set of parameters. The system includes a controller that receives input relating to the cross-linking agent and the set of parameters. The controller includes computer-readable storage media storing: (A) program instructions for determining cross-linking resulting from reactions involving ROS including at least peroxides, superoxides, and hydroxyl radicals, and (B) program instructions for determining cross-linking from reactions not involving oxygen. The controller executes the program instructions to output a calculated amount of cross-linking in the at least one selected region of the cornea. In response to the calculated amount of cross-linking, the light source adjusts at least one value in the set of parameters.

Abstract: A server (11), a means of transport (10) and a method for evaluating a usage behavior of a user of a portable wireless communication device (1) in a means of transport (10) are proposed. The method comprises the following steps: operating the wireless communication device in connection with the means of transport (10) in a screen mirroring method, hereinafter referred to as “projected mode”, analyzing a content originating from the wireless communication device (1) by means of a graphical object recognition algorithm, and/or an acoustic pattern recognition algorithm by the means of transport (10) and determining the usage behavior of the user based on the analysis result.

Abstract: A system for treating an eye includes a laser light source providing photoactivating light. The system includes a scanning system to receive the photoactivating light as a laser beam and to move the laser beam over a cornea treated with a cross-linking agent. The system includes a controller that provides control signal(s) to programmatically control the laser light source and the scanning system. The control signal(s) cause the laser beam to visit region(s) of the cornea more than once according to a scan pattern and expose the region(s) to the photoactivating light. The photoactivating light causes the cross-linking agent in the exposed region(s) to react with oxygen to generate cross-linking activity in the exposed region(s). The scan pattern causes a predetermined period of time to pass between visits by the laser beam to the exposed region(s), the predetermined period of time allowing oxygen in the exposed region(s) to replenish.

Abstract: A corneal cross-linking system includes a light source configured to emit a photoactivating light. The system includes a spatial light modulator configured to receive the photoactivating light from the light source and provide a pixelated illumination. The spatial light modulator defines a maximum area for the pixelated illumination. The system includes a controller configured to cause the spatial light modulator to project a first pixelated illumination onto the cornea to photoactivate a cross-linking agent applied to a treatment area. The first pixelated illumination has an area that is smaller than the maximum area defined by the spatial light modulator. The controller is configured to determine movement of the cornea. In response to the movement, the controller controls the spatial light modulator to project a second pixelated illumination to the treatment area based on a translation and/or transformation of the first pixelated illumination to continue photoactivating the cross-linking agent.

Abstract: A method of providing vehicular navigation information includes providing a head unit embedded in a vehicle and configuring the head unit as a client device running an HTML-5 based navigation app. A smart phone is configured as a server device and linked to the head unit utilizing wireless local area network technologies. The wireless local area network technology may be Bluetooth. The smart phone transmits to the head unit via the wireless local area network technologies as needed a navigational map tile in vector format, a calculated route, and a proper subset of navigational raw voice guidance data stored on the smart phone. The HTML-5 based navigation app renders the navigational map tile and the calculated route geometry on a display of the head unit and the head unit plays at least a portion of the proper subset of the navigational raw voice guidance data through a speaker.

Abstract: A system for corneal treatment includes a light source that activates cross-linking in at least one selected region of a cornea treated with a cross-linking agent. The light source delivers photoactivating light to the at least one selected region of the cornea according to a set of parameters. The system includes a controller that receives input relating to the cross-linking agent and the set of parameters. The controller includes computer-readable storage media storing: (A) program instructions for determining cross-linking resulting from reactions involving ROS including at least peroxides, superoxides, and hydroxyl radicals, and (B) program instructions for determining cross-linking from reactions not involving oxygen. The controller executes the program instructions to output a calculated amount of cross-linking in the at least one selected region of the cornea. In response to the calculated amount of cross-linking, the light source adjusts at least one value in the set of parameters.