Abstract: An imaging system, such as a surgical microscope, laparoscope, or endoscope or integrated with these devices, includes an illuminator providing patterned white light and/or fluorescent stimulus light. The system receives and images light hyperspectrally, in embodiments using a hyperspectral imaging array, and/or using narrowband tunable filters for passing filtered received light to an imager. Embodiments may construct a 3-D surface model from stereo images, and will estimate optical properties of the target using images taken in patterned light or using other approximations obtained from white light exposures. Hyperspectral images taken under stimulus light are displayed as fluorescent images, and corrected for optical properties of tissue to provide quantitative maps of fluorophore concentration. Spectral information from hyperspectral images is processed to provide depth of fluorophore below the tissue surface. Quantitative images of fluorescence at depth are also prepared.

Abstract: A Cherenkov-based or thin-sheet scintillator-based imaging system uses a radio-optical triggering unit (RTU) that detects scattered radiation in a fast-response scintillator to detect pulses of radiation to permit capture of Cherenkov-light or scintillator-light images during pulses of radiation and background images at times when pulses of radiation are not present without need for electrical interface to the accelerator that provides the pulses of radiation. The Cherenkov images are corrected by background subtraction and used for purposes including optimization of treatment, commissioning, routine quality auditing, R&D, and manufacture. The radio-optical triggering unit employs high-speed, highly sensitive radio-optical sensing to generate a digital timing signal which is synchronous with the treatment beam for use in triggering Cherenkov light or scintillator light imaging.

Abstract: An imaging system, such as a surgical microscope, laparoscope, or endoscope or integrated with these devices, includes an illuminator providing patterned white light and/or fluorescent stimulus light. The system receives and images light hyperspectrally, in embodiments using a hyperspectral imaging array, and/or using narrowband tunable filters for passing filtered received light to an imager. Embodiments may construct a 3-D surface model from stereo images, and will estimate optical properties of the target using images taken in patterned light or using other approximations obtained from white light exposures. Hyperspectral images taken under stimulus light are displayed as fluorescent images, and corrected for optical properties of tissue to provide quantitative maps of fluorophore concentration. Spectral information from hyperspectral images is processed to provide depth of fluorophore below the tissue surface. Quantitative images of fluorescence at depth are also prepared.

Abstract: A method for assessing a cancer status of biological tissue includes the steps of: obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system; inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; and generating a real-time output indicating the assessed cancer status of the biological tissue,

Abstract: An imaging system, such as a surgical microscope, laparoscope, or endoscope or integrated with these devices, includes an illuminator providing patterned white light and/or fluorescent stimulus light. The system receives and images light hyperspectrally, in embodiments using a hyperspectral imaging array, and/or using narrowband tunable filters for passing filtered received light to an imager. Embodiments may construct a 3-D surface model from stereo images, and will estimate optical properties of the target using images taken in patterned light or using other approximations obtained from white light exposures. Hyperspectral images taken under stimulus light are displayed as fluorescent images, and corrected for optical properties of tissue to provide quantitative maps of fluorophore concentration. Spectral information from hyperspectral images is processed to provide depth of fluorophore below the tissue surface. Quantitative images of fluorescence at depth are also prepared.

Abstract: A system for performing radiation treatment of a patient with a proton beam from a particle accelerator uses a high-sensitivity camera to capture dose images of patient surface, a video processor that integrates the dose images, beam-on detection apparatus, and apparatus to eliminate interference of room lighting. In embodiments, the system registers dose images to a surface model of the patient derived from stereo image pairs captured by a stereo camera. In embodiments, the surface model is registered to three-dimensional images of the patient from MRI or CT, and an integrated three-dimensional energy deposition map of the patient is prepared.

Abstract: A Cherenkov-based or thin-sheet scintillator-based imaging system uses a radio-optical triggering unit (RTU) that detects scattered radiation in a fast-response scintillator to detect pulses of radiation to permit capture of Cherenkov-light or scintillator-light images during pulses of radiation and background images at times when pulses of radiation are not present without need for electrical interface to the accelerator that provides the pulses of radiation. The Cherenkov images are corrected by background subtraction and used for purposes including optimization of treatment, commissioning, routine quality auditing, R&D, and manufacture. The radio-optical triggering unit employs high-speed, highly sensitive radio-optical sensing to generate a digital timing signal which is synchronous with the treatment beam for use in triggering Cherenkov light or scintillator light imaging.

Abstract: A Cherenkov-based imaging system uses a radio-optical triggering unit (RTU) that detects scattered radiation in a fast-response scintillator to detect pulses of radiation to permit capture of Cherenkov-light images during pulses of radiation and background images at times when pulses of radiation are not present without need for electrical interface to the accelerator that provides the pulses of radiation. The Cherenkov images are corrected by background subtraction and used for purposes including optimization of treatment, commissioning, routine quality auditing, R&D, and manufacture. The radio-optical triggering unit employs high-speed, highly sensitive radio-optical sensing to generate a digital timing signal which is synchronous with the treatment beam for use in triggering Cherenkov radiation detection.

Abstract: A Cherenkov-based imaging system uses a radio-optical triggering unit (RTU) that detects scattered radiation in a fast-response scintillator to detect pulses of radiation to permit capture of Cherenkov-light images during pulses of radiation and background images at times when pulses of radiation are not present without need for electrical interface to the accelerator that provides the pulses of radiation. The Cherenkov images are corrected by background subtraction and used for purposes including optimization of treatment, commissioning, routine quality auditing, R&D, and manufacture. The radio-optical triggering unit employs high-speed, highly sensitive radio-optical sensing to generate a digital timing signal which is synchronous with the treatment beam for use in triggering Cherenkov radiation detection.

Abstract: A method for assessing a cancer status of biological tissue includes the steps of: obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system; inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; and generating a real-time output indicating the assessed cancer status of the biological tissue.

Abstract: An imaging system, such as a surgical microscope, laparoscope, or endoscope or integrated with these devices, includes an illuminator providing patterned white light and/or fluorescent stimulus light. The system receives and images light hyperspectrally, in embodiments using a hyperspectral imaging array, and/or using narrowband tunable filters for passing filtered received light to an imager. Embodiments may construct a 3-D surface model from stereo images, and will estimate optical properties of the target using images taken in patterned light or using other approximations obtained from white light exposures. Hyperspectral images taken under stimulus light are displayed as fluorescent images, and corrected for optical properties of tissue to provide quantitative maps of fluorophore concentration. Spectral information from hyperspectral images is processed to provide depth of fluorophore below the tissue surface. Quantitative images of fluorescence at depth are also prepared.

Abstract: A system and method for automatically determining library patrons' interests without having to identify the patron or otherwise invade his/her privacy based on the library patron's current use of library assets. The system and method involve categorizing the library's assets using broad mapping user interest categories, associating a user interest category with a specific library asset that is checked out, reserved or otherwise used by a library patron and providing that patron with a confirmation item containing that user interest category, providing the library patron with feedback about the library assets and the broad mapping user interest categories, allowing library patrons to access and register for a library rewards program using the user interest category number and having advertisers provide relevant information and rewards to library patrons who request such additional information.

Abstract: A system and method for automatically determining library patrons' interests without having to identify the patron or otherwise invade his/her privacy based on the library patron's current use of library assets. The system and method involve categorizing the library's assets using broad mapping user interest categories, associating a user interest category with a specific library asset that is checked out, reserved or otherwise used by a library patron and providing that patron with a confirmation item containing that user interest category, providing the library patron with feedback about the library assets and the broad mapping user interest categories, allowing library patrons to access and register for a library rewards program using the user interest category number and having advertisers provide relevant information and rewards to library patrons who request such additional information.

Abstract: A system and method for automatically determining library patrons' interests without having to identify the patron or otherwise invade his/her privacy based on the library patron's current use of library assets. The system and method involve categorizing the library's assets using broad mapping user interest categories, associating a user interest category with a specific library asset that is checked out, reserved or otherwise used by a library patron and providing that patron with a confirmation item containing that user interest category, providing the library patron with feedback about the library assets and the broad mapping user interest categories, allowing library patrons to access and register for a library rewards program using the user interest category number and having advertisers provide relevant information and rewards to library patrons who request such additional information.

Abstract: A system and method for automatically determining library patrons' interests without having to identify the patron or otherwise invade his/her privacy based on the library patron's current use of library assets. The system and method involve categorizing the library's assets using broad mapping user interest categories, associating a user interest category with a specific library asset that is checked out, reserved or otherwise used by a library patron and providing that patron with a confirmation item containing that user interest category, providing the library patron with feedback about the library assets and the broad mapping user interest categories, allowing library patrons to access and register for a library rewards program using the user interest category number and having advertisers provide relevant information and rewards to library patrons who request such additional information.

Abstract: A system and method for automatically determining library patrons' interests without having to identify the patron or otherwise invade his/her privacy based on the library patron's current use of library assets. The system and method involve categorizing the library's assets using broad mapping user interest categories, associating a user interest category with a specific library asset that is checked out, reserved or otherwise used by a library patron and providing that patron with a confirmation item containing that user interest category, providing the library patron with feedback about the library assets and the broad mapping user interest categories, allowing library patrons to access and register for a library rewards program using the user interest category number and having advertisers provide relevant information and rewards to library patrons who request such additional information.