Spectral emissivity measurements of human skin—A new method for the early detection of cancer?

Folberth, W.; Heim, Gerald B.

doi:10.1016/0020-0891(84)90092-7

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Since the epithelium layer can carry the waveguide modes that appear as dips in the infrared absorption spectra, we suggest that equivalent features may appear in the thermal emission spectra of these organisms, whose emission spectra spans from ,5 to 40 mm. These features could be informative for diagnosing the thermal characteristics of tissues in disease states [32][33][34].…”

Section: Discussionmentioning

confidence: 99%

Correction: Real-Time Sensing of Cell Morphology by Infrared Waveguide Spectroscopy

Yashunsky¹,

Marciano²,

Lirtsman³

et al. 2013

PLoS ONE

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We demonstrate that a live epithelial cell monolayer can act as a planar waveguide. Our infrared reflectivity measurements show that highly differentiated simple epithelial cells, which maintain tight intercellular connectivity, support efficient waveguiding of the infrared light in the spectral region of 1.4-2.5 mm and 3.5-4 mm. The wavelength and the magnitude of the waveguide mode resonances disclose quantitative dynamic information on cell height and cell-cell connectivity. To demonstrate this we show two experiments. In the first one we trace in real-time the kinetics of the disruption of cell-cell contacts induced by calcium depletion. In the second one we show that cell treatment with the PI3-kinase inhibitor LY294002 results in a progressive decrease in cell height without affecting intercellular connectivity. Our data suggest that infrared waveguide spectroscopy can be used as a novel bio-sensing approach for studying the morphology of epithelial cell sheets in real-time, label-free manner and with high spatial-temporal resolution.

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Section: Discussionmentioning

confidence: 99%

Correction: Real-Time Sensing of Cell Morphology by Infrared Waveguide Spectroscopy

Yashunsky¹,

Marciano²,

Lirtsman³

et al. 2013

PLoS ONE

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“…Table 3 details the work published on CAD systems for breast cancer detection. [161] 2007 2a 1 ---Jakubowska et al [162] 2003 4b 1 ---Ng et al [163] 2002 3b 3 61.54 68.97 40 Frize et al [164] 2002 2b 1 ---Kuruganti and Qi [165] 2002 3b 1 ---Ng et al [166] 2001 3b 2 59 54 67 Ng et al [167] 2001 3b ----Keyserlingk et al [168] 1998 2a 1 ---Thompson et al [169] 1978 2b 1 ---Folberth and Heim [170] 1984 2a [172] 2013 2a 1 ---Garcia-Romero et al [174] 2013 2a 1 ---Shada et al [173] 2013 2a 2 -95 100 Cholewka et al [175] 2012 2a 1 ---Flores-Sahagun et al [171] 2011 1a 1 ---Aweda et al [176] 2010 2a 1 ---Buzug et al [177] 2006 3a 1 ---Button et al [59] 2004 2a 1 ---…”

Section: Breast Cancermentioning

confidence: 99%

Application of infrared thermography in computer aided diagnosis

Faust

Acharya

et al. 2014

Infrared Physics & Technology

100

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The invention of thermography, in the 1950s, posed a formidable problem to the research community: What is the relationship between disease and heat radiation captured with Infrared (IR) cameras? The research community responded with a continuous effort to find this crucial relationship. This effort was aided by advances in processing techniques, improved sensitivity and spatial resolution of thermal sensors. However, despite this progress fundamental issues with this imaging modality still remain. The main problem is that the link between disease and heat radiation is complex and in many cases even nonlinear. Furthermore, the change in heat radiation as well as the change in radiation pattern, which indicate disease, is minute. On a technical level, this poses high requirements on image capturing and processing. On a more abstract level, these problems lead to inter-observer variability and on an even more abstract level they lead to a lack of trust in this imaging modality. In this review, we adopt the position that these problems can only be solved through a strict application of scientific principles and objective performance assessment. Computing machinery is inherently objective; this helps us to apply scientific principles in a transparent way and to assess the performance results. As a consequence, we aim to promote thermography based ComputerAided Diagnosis (CAD) systems. Another benefit of CAD systems comes from the fact that the diagnostic accuracy is linked to the capability of the computing machinery and, in general, computers become ever more potent. We predict that a pervasive application of computers and networking technology in medicine will help us to overcome the shortcomings of any single imaging modality and this will pave the way for integrated health care systems which maximize the quality of patient care.

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Applications of infrared spectroscopy to biology and medicine

Mantsch

McElhaney

1990

Journal of Molecular Structure

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Spectral emissivity measurements of human skin—A new method for the early detection of cancer?

Cited by 5 publications

References 3 publications

Correction: Real-Time Sensing of Cell Morphology by Infrared Waveguide Spectroscopy

Correction: Real-Time Sensing of Cell Morphology by Infrared Waveguide Spectroscopy

Application of infrared thermography in computer aided diagnosis

Applications of infrared spectroscopy to biology and medicine

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