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19 June 2015 Onychomycosis diagnosis using fluorescence and infrared imaging systems
Ana Paula da Silva, Thereza Cury Fortunato, Mirian D. Stringasci, Cristina Kurachi, Vanderlei S. Bagnato, Natalia M. Inada
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Proceedings Volume 9531, Biophotonics South America; 95314A (2015) https://doi.org/10.1117/12.2180998
Event: SPIE Biophotonics South America, 2015, Rio de Janeiro, Brazil
Abstract
Onychomycosis is a common disease of the nail plate, constituting approximately half of all cases of nail infection. Onychomycosis diagnosis is challenging because it is hard to distinguish from other diseases of the nail lamina such as psoriasis, lichen ruber or eczematous nails. The existing methods of diagnostics so far consist of clinical and laboratory analysis, such as: Direct Mycological examination and culture, PCR and histopathology with PAS staining. However, they all share certain disadvantages in terms of sensitivity and specificity, time delay, or cost.

This study aimed to evaluate the use of infrared and fluorescence imaging as new non-invasive diagnostic tools in patients with suspected onychomycosis, and compare them with established techniques.

For fluorescence analysis, a Clinical Evince (MM Optics®) was used, which consists of an optical assembly with UV LED light source wavelength 400 nm ± 10 nm and the maximum light intensity: 40 mW/cm2 ± 20%. For infrared analysis, a Fluke® Camera FKL model Ti400 was used. Patients with onychomycosis and control group were analyzed for comparison. The fluorescence images were processed using MATLAB® routines, and infrared images were analyzed using the SmartView® 3.6 software analysis provided by the company Fluke®.

The results demonstrated that both infrared and fluorescence could be complementary to diagnose different types of onychomycosis lesions. The simplicity of operation, quick response and non-invasive assessment of the nail patients in real time, are important factors to be consider for an implementation.
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Ana Paula da Silva, Thereza Cury Fortunato, Mirian D. Stringasci, Cristina Kurachi, Vanderlei S. Bagnato, and Natalia M. Inada "Onychomycosis diagnosis using fluorescence and infrared imaging systems", Proc. SPIE 9531, Biophotonics South America, 95314A (19 June 2015); https://doi.org/10.1117/12.2180998
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KEYWORDS
Luminescence
Infrared imaging
Infrared radiation
MATLAB
Diagnostics
Image analysis
Microorganisms
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