Abstract: Techniques for wound image processing are disclosed. Access to a smartphone that includes an integrated color camera is obtained. An external light source is coupled to the smartphone. The external light source emits at least one light wavelength for illuminating a material sample. The light wavelength excites a fluorescence response from the sample. The fluorescence response comprises wavelengths along the Red-Green-Blue (RGB) light spectrum. The external light source is triggered. An illumination signature of the sample is captured, by the integrated color camera, in response to the external light. An output indicative of biophysical status of the sample is generated. The output is based on analysis of the captured illumination signature. A thermal image of the sample is further captured, using an infrared sensor coupled to the external light source. The output is augmented based on an analysis of the thermal image.

Abstract: A plurality of optical excitation ultraviolet light wavelength bands is scanned on a wound sample. The material sample exhibits optical spectral characteristics along the light wavelength spectrum. Excitation response wavelengths emitted by the wound sample are captured in response to the plurality of optical excitation ultraviolet light wavelength bands. The capturing is accomplished using an image sensor. Output values of a plurality of pixels of an image from the image sensor are measured. The image represents excitation response wavelengths captured by the image sensor. The measuring detects optical spectral characteristics of the wound sample, and the optical spectral characteristics are in response to the plurality of optical excitation light wavelength bands. An output signature indicative of composition of a condition of the wound sample is provided, wherein the condition of the wound sample provides a metric of wound monitoring.

Abstract: Disclosed techniques include skin diagnostics using optical signatures. A plurality of optical excitation light wavelength bands is scanned on a material sample, wherein the material sample exhibits optical spectral characteristics along the light wavelength spectrum. Excitation response wavelengths emitted by the material sample are captured in response to the plurality of optical excitation light wavelength bands, wherein the capturing is accomplished using an imaging sensor. Output values of a plurality of pixels of an image from the imaging sensor are measured, wherein the image represents excitation response wavelengths captured by the imaging sensor, wherein the measuring detects optical spectral characteristics of the material sample, and wherein the optical spectral characteristics are in response to the plurality of optical excitation light wavelength bands.

Abstract: Disclosed techniques include image analysis using skin wound factors. One or more skin wound images are obtained for an individual. The skin wound images provide light spectrum information that includes fluorescence and reflectance characteristics. The light spectrum information includes infrared thermal characteristics. Processors are used to analyze the skin wound images to determine metrics for skin wound factors, based on the light spectrum information. The skin wound factors comprise infection, inflammation, granulation, topology, and epithelialization. An epithelialization metric is included in determining skin wound topology. The skin wound topology comprises wound area, wound volume, wound depth, wound shape, wound edge definition, or wound topography. An output indicative of biophysical skin wound status is generated. The output is based on the analyzing of the skin wound factors. The output is augmented, based on analysis of the infrared thermal characteristics.

Abstract: Disclosed techniques include wound care image analysis using light signatures. A light wavelength is excited on a material sample. The exciting enables capture of fluorescence characteristics of the material sample. The material sample exhibits fluorescence characteristics along the Red-Green-Blue light wavelength spectrum. The material sample is illuminated with at least three additional light wavelengths. The illuminating enables capture of reflectance characteristics of the material sample. The material sample exhibits reflectance characteristics along the Red-Green-Blue light wavelength spectrum. An output indicative of biophysical status of the material sample is generated. The output is based on analysis of the fluorescence characteristics and the reflectance characteristics. The analysis includes identifying a wound topology within the material sample. The wound topology is identified based on measurements in the wound sample. A thermal image of the material sample is captured.

Abstract: Disclosed techniques include exudate analysis using optical signatures. Access to a tissue exudate sample is obtained, wherein the tissue exudate sample contains one or more analytes representing a state of the tissue. The one or more analytes are isolated from the exudate sample on a substrate. The exudate is transferred from the substrate to an immunoassay. The immunoassay is illuminated with photons, wherein the illuminating comprises a controlled photon exposure. The controlled photon exposure comprises ambient lighting and/or one or more fluorescence excitation light wavelength bands. Light emanating from the immunoassay is imaged, wherein the imaging captures intensities of light wavelengths across the light wavelength spectrum. The imaging captures reflected light and fluorescent emanating light. A signature for the one or more analytes is generated, based on analysis of the intensities that were imaged. The signature expresses a magnitude for each of the one or more analytes.

Abstract: Disclosed techniques include skin diagnostics using optical signatures. A plurality of optical excitation light wavelength bands is scanned on a material sample, wherein the material sample exhibits optical spectral characteristics along the light wavelength spectrum. Excitation response wavelengths emitted by the material sample are captured in response to the plurality of optical excitation light wavelength bands, wherein the capturing is accomplished using an imaging sensor. Output values of a plurality of pixels of an image from the imaging sensor are measured, wherein the image represents excitation response wavelengths captured by the imaging sensor, wherein the measuring detects optical spectral characteristics of the material sample, and wherein the optical spectral characteristics are in response to the plurality of optical excitation light wavelength bands.