Abstract: Disclosed techniques include multispectral sample analysis using absorption signatures. At least two excitation light wavelengths are provided to a material sample. The sample exhibits absorption characteristics along the Red-Green-Blue (RGB) light wavelength spectrum. Output values of an RGB sensor are measured. The measuring detects the absorption characteristics of the sample. The absorption characteristics are in response to the at least two excitation light wavelengths. A third excitation light wavelength is provided and an additional output value of the RGB sensor is measured. The providing at least two excitation light wavelengths and a third excitation light wavelength enable water identification and biochrome identification. An indication of composition of the material sample is generated. The indication is based on interpreting the output values that were measured. An additional RGB sensor enables stereoscopic sensor imaging.

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: Fluorescence from a material sample is excited. The exciting enables capture of fluorescence characteristics of the material sample. The fluorescence characteristics occur along the Red-Green-Blue (RGB) light wavelength spectrum. The exciting is accomplished using at least two different fluorescence excitation wavelengths. The material sample is illuminated with additional light wavelengths. The illuminating enables capture of reflectance characteristics of the material sample. The material sample exhibits reflectance characteristics along the RGB light wavelength spectrum. The illuminating is accomplished using at least three additional light wavelengths. A depth estimation of the material sample is mapped, based on the reflectance characteristics. A material composition is detected, based on analysis of the fluorescence characteristics, the reflectance characteristics, and the depth estimation. The material composition is indicative of a biophysical status of the material sample.

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.