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Skin Cancer

Skin Cancer

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: Apr 14, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Review of Advanced Devices for Skin Cancer Detection.

Le Thi Nhu Ngoc¹, An-Na Park², Young-Chul Lee³

¹Department of Bio-Nano Convergence, Gachon University, Gyeonggi-do, Republic of Korea.

Critical Reviews in Analytical Chemistry

|April 13, 2026

Summary

This summary is machine-generated.

New sensors and microfluidic devices offer rapid, cost-effective skin cancer detection. These portable technologies are crucial for early melanoma diagnosis, improving patient survival rates.

Keywords:

Skin cancer detections microfluidics sensors

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Detection and Isolation of Circulating Melanoma Cells using Photoacoustic Flowmetry

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Area of Science:

Biomedical Engineering
Nanotechnology
Dermatology

Background:

Skin cancer, especially melanoma, necessitates early detection for improved patient outcomes.
Conventional diagnostic methods often require specialized expertise and infrastructure.
Emerging sensing and microfluidic technologies promise portable, cost-effective diagnostic solutions.

Purpose of the Study:

To review recent advancements in sensor-based and microfluidic technologies for skin cancer detection.
To focus on sensing principles, device architectures, and applications in melanoma diagnostics.
To compare different diagnostic platforms and discuss translational challenges.

Main Methods:

Review of current literature on sensor and microfluidic technologies for skin cancer diagnostics.
Analysis of sensing principles, device designs, and fabrication strategies.
Structured comparison of existing platforms based on targets, performance, and development stage.

Main Results:

Sensor and microfluidic devices show high sensitivity and selectivity for detecting physical and biochemical changes in skin lesions.
Portable platforms can identify dielectric contrasts and cancer biomarkers for noninvasive or minimally invasive diagnosis.
Recent progress highlights diverse applications in melanoma diagnostics with varying analytical performance.

Conclusions:

Sensor and microfluidic technologies are rapidly advancing for early skin cancer detection.
These tools offer potential for rapid, portable, and cost-effective diagnostics, crucial for melanoma.
Addressing translational challenges like clinical validation and regulatory hurdles is key for widespread adoption.