Johns Hopkins University

Amit Banerjee

Simon C Mathews

Pankaj Jay Pasricha

Luis Garza

Philippe Martin Burlina

Jay Pasricha

Joshua B Broadwater

Saurabh Vyas

Joshua Broadwater

Phillippe M Burlina

A method for performing a screening includes illuminating a sample with light from a screen of a system at a first wavelength while the system is at a predetermined position with respect to the sample. The method also includes capturing a first image of the sample using a camera of the system while the system is at the predetermined position and the sample is illuminated with the light at the first wavelength. The method also includes illuminating the sample with the light from the screen at a second wavelength while the system is at the predetermined position. The method also includes capturing a second image of the sample using the camera while the system is at the predetermined position and the sample is illuminated with the light at the second wavelength. The method also includes combining the first and second images to produce a multispectral image.

Capturing multi-spectral images

A method for detecting a molecule in a sample includes applying a first filter to an image at a first wavelength. The method also includes applying a second filter to the image at a second wavelength. The method also includes applying a third filter to the image at a third wavelength. The first, second, and third wavelengths are within a predetermined wavelength range, and wherein first, second, and third wavelengths are different from one another. The method also includes detecting a spectral signature for the molecule in the sample in the image after the first, second, and third filters are applied to the image. The method also includes determining whether the molecule is present in the sample based at least partially upon the detected spectral signature.

Camera-based hemoglobin detection

An analyzing platform may obtain a first image of a liquid in a receptacle. The analyzing platform may analyze the first image to determine a first set of visual characteristics concerning the liquid. The analyzing platform may obtain a second image of a rectal sample in the liquid in the receptacle, wherein the rectal sample originated from a bowel of a subject. The analyzing platform may analyze the second image to determine a second set of visual characteristics concerning the rectal sample. The analyzing platform may determine, based on the first set of visual characteristics and the second set of visual characteristics, rectal sample information. The analyzing platform may cause one or more actions to be performed based on the rectal sample information.

Analyzing image data to determine bowel preparation quality

A method of detecting a skin condition may include employing a multiband hyperspectral sensor to obtain multi-spectral data, employing the multi-spectral data to map constitutive skin parameters to corresponding spectral signatures via a forward model that enables generation of a set of samples including a plurality of parameters mapped to a plurality of spectral signatures, utilizing the set of samples to employ machine learning to generate an inverse model to enable mapping of a spectral signature of skin of a patient to corresponding skin parameters, estimating constitutive skin parameters of the skin of the patient based on the inverse model, and determining a distribution of the constitutive parameters for one or more skin locations.

Hyperspectral imaging for detection of skin related conditions

Detection and tracking of an object by exploiting its unique reflectance signature. This is done by examining every image pixel and computing how closely that pixel's spectrum matches a known object spectral signature. The measured radiance spectra of the object can be used to estimate its intrinsic reflectance properties that are invariant to a wide range of illumination effects. This is achieved by incorporating radiative transfer theory to compute the mapping between the observed radiance spectra to the object's reflectance spectra. The consistency of the reflectance spectra allows for object tracking through spatial and temporal gaps in coverage. Tracking an object then uses a prediction process followed by a correction process.

Growing community of inventors

Burtonsville, MD, United States of America

Amit Banerjee