Abstract: Disclosed are systems and methods utilizing an infrared probe and discriminating software to rapidly discriminate abnormal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g.

Abstract: A medical illumination system is provided for modulating properties of light emitted by a light source of the illumination system based on properties of a spot size defining an area illuminated by the emitted light.

Abstract: Disclosed are systems and methods utilizing an infrared probe and discriminating software to rapidly discriminate abnormal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g.

Abstract: A hand-held sized imaging instrument identifies molecules with high selectivity and in complex mixtures. The instrument uses inelastic scattering and scattering intensities from with machine learning algorithms based on convolutional neural networks (CNN's) to identify the presence of a specified chemical or combination of chemicals. A laser is housed within the instrument to initiate a material response of a sample using laser light of a specified wavelength. The instrument uses an image sensor to capture visible images with inelastic scattering information. The CNN is able to classify the image to determine whether the specified chemical or combination of chemicals is present in the sample. The instrument is inexpensive, portable, easy to use by anyone (nonchemist, nonprofessional), and safe (laser is completely housed). The instrument can be used efficiently and easily for quality control, security, and other applications to reliably detect the presence of specified substances.

Abstract: Disclosed are systems and methods utilizing an infrared probe and discriminating software to rapidly discriminate abnormal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g.

Abstract: Disclosed are systems and methods utilizing an infrared probe and discriminating software to rapidly discriminate abnormal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g.

Abstract: Systems and methods utilize an infrared probe and discriminating software to rapidly discriminate normal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g.

Abstract: A hand-held sized imaging instrument identifies molecules with high selectivity and in complex mixtures. The instrument uses inelastic scattering and scattering intensities from with machine learning algorithms based on convolutional neural networks (CNN's) to identify the presence of a specified chemical or combination of chemicals. A laser is housed within the instrument to initiate a material response of a sample using laser light of a specified wavelength. The instrument uses an image sensor to capture visible images with inelastic scattering information. The CNN is able to classify the image to determine whether the specified chemical or combination of chemicals is present in the sample. The instrument is inexpensive, portable, easy to use by anyone (nonchemist, nonprofessional), and safe (laser is completely housed). The instrument can be used efficiently and easily for quality control, security, and other applications to reliably detect the presence of specified substances.

Abstract: Disclosed are systems and methods utilizing an infrared probe and discriminating software to rapidly discriminate normal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g.

Abstract: The use of ethylene oxide for the purpose of providing an item substantially free of DNA is provided. Methods of treating items to render them substantially DNA free are also provided. A method of verifying the substantially DNA free status of an item is also provided. A method for producing items is also detailed in which one or more of the products are analysed to establish whether those and/or other product have DNA associated with them after treatment.