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2025
Journal Article
Title
Diagnostic System for Early In Situ Melanoma Detection Using Acoustic Microscopy and Infrared Spectroscopic Mapping Imaging
Abstract
This study proposes a novel diagnostic system for the early detection of cutaneous melanoma based on morphological and biochemical changes during tumor formation. The methods used in this system are acoustic microscopy and infrared (IR) spectroscopy. The former identifies the anatomical parameters of the developing tumor, whilst the latter identifies its biochemical features, both at the micron scale. To implement this diagnostic method, an animal model that mimics human melanoma was developed. The results of this investigation show that using high-frequency (>20 MHz) acoustic microscopy in conjunction with spectroscopic images provides useful information about distinct features of melanoma tumors’ 3D structures. The structures and cytoarchitecture of the tumors were assessed using conventional histology, and their malignant nature was confirmed using histological and immumohistochemical analysis. The proposed approach may provide an invaluable tool in diagnostic dermatology, as it is noninvasive and produces highly detailed and accurate data about the early appearance and development of melanoma tumors.
Author(s)
Project(s)
MELANOMA LS7(52)
Nondestructive diagnosis of self-healing concrete damages using remote sensing and tomography techniques "Crack Healing"
Funder
Open Access
File(s)
Rights
CC BY 4.0: Creative Commons Attribution
Additional link
Language
English
Keyword(s)
Branche: Healthcare
Research Line: Computer vision (CV)
LTA: Interactive decision-making support and assistance systems
LTA: Machine intelligence, algorithms, and data structures (incl. semantics)
LTA: Generation, capture, processing, and output of images and 3D models
Acoustic microscopy
Infrared spectroscopy
Skin cancer
Computer aided diagnosis