Abstract
This paper proposes a novel approach for the automatic detection of allergy test (allergy lesion). A hyperspectral microscope system was used to image the test samples which were diagnosed by dermatologist. It was found that allergy of different levels, and healthy skin cells show absorption spectra, which are sufficiently characteristic and yet reproducible enough to allow for differentiation when using a spectroscopic system. Principal components analysis was used to extract relevant features that could be used for classification from these spectra. Preliminary results indicate that the different types of allergy cells can be reliably distinguished by these features. We conclude that hyperspectral microscopic analysis is a promising approach for improving and automating the diagnosis of allergy test as well as another skin lesions.
Highlights
As allergies are an increasingly common health problem, determination of the specific allergens a patient reacts to is a significant part of the day-to-day activities is medical practice
This paper proposes a novel approach for the automatic detection of allergy test
We conclude that hyperspectral microscopic analysis is a promising approach for improving and automating the diagnosis of allergy test as well as another skin lesions
Summary
As allergies are an increasingly common health problem, determination of the specific allergens a patient reacts to is a significant part of the day-to-day activities is medical practice. The most widely used allergy tests are based on either pricking (prick test) or scratching (scratch test) the skin and bringing the area into contact with an allergen This is performed multiple times with different allergens. With the development of fast and powerful data evaluation algorithms spectral and morphological classifiers, combined contextual data evaluation, wavelet analysis, etc., it is nowadays to acquire and evaluate spectral images within a few seconds. This is of a major importance, as it is neither possible to keep a (wake) patient stationary or a biologically active sample constant for prolonged periods of time nor compatible with screening requirements to wait for days to get the results. Real-time Spectral Imaging Systems (SI Systems) are a valuable addition to established methods
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
