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Related Concept Videos

UV–Vis Spectrometers01:14

UV–Vis Spectrometers

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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Skin Cancer01:30

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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Updated: May 23, 2025

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
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A Human Skin Diagnosis System Using Human Skin Reflective Spectrum Matching.

Munsun Cho1,2, Jiwon Shin1, Minyoung Lee1,2

  • 1Department of Chemical & Biochemical Engineering, Dongguk University-Seoul, Seoul, Korea.

Journal of Biophotonics
|May 22, 2025
PubMed
Summary
This summary is machine-generated.

A new non-contact skin diagnosis method accurately evaluates melanin, hemoglobin, and dermis thickness. This method uses optical skin reflection spectrum matching for reliable personal skin information assessment.

Keywords:
Kubelka‐Munkdermis thicknessepidermis thicknesshemoglobinhuman skin informationmelaninskin reflective spectrum

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Area of Science:

  • Dermatology
  • Optical Physics
  • Biomedical Engineering

Background:

  • The beauty industry requires non-contact, precise skin diagnosis tools.
  • Existing methods may lack accuracy or ease of use for personal skin assessment.

Purpose of the Study:

  • To develop and validate a non-contact skin diagnosis technique.
  • To evaluate personal skin properties using optical reflection spectrum analysis.

Main Methods:

  • Proposed a non-contact method employing mechanical matching.
  • Utilized the Kubelka-Munk 2-layer model for simulated optical skin reflection spectrum.
  • Compared simulated spectra with actually measured skin reflection spectra.

Main Results:

  • Spectrum-matched skin information (melanin, hemoglobin, dermis thickness) was obtained.
  • Correlation analysis confirmed a strong relationship between matched and measured skin data.
  • Statistical significance validated the accuracy of the non-contact method.

Conclusions:

  • The proposed non-contact method provides accurate skin diagnosis.
  • This technique effectively evaluates key skin parameters like melanin and hemoglobin levels.
  • The Kubelka-Munk model integration enhances the reliability of optical skin analysis.