ArticleJournal of biomedical optics2013
Quantifying melanin spatial distribution using pump-probe microscopy and a 2-D morphological autocorrelation transformation for melanoma diagnosis.
Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Qualitative and quantitative assessment ofBiomedical optics express · 2026Article
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- Nondestructive, High-Resolution T Cell Characterization and Subtyping via Deep-UV Microscopy.BME frontiers · 2026Article
- Label-free in-line characterization of immune cell culture using quantitative phase imaging.NPJ Regenerative medicine · 2025Article
- Non-invasive label-free imaging analysis pipeline for in situ characterization of 3D brain organoids.Scientific reports · 2024Article
- Non-Invasive Label-free Analysis Pipeline for In Situ Characterization of Differentiation in 3D Brain Organoid Models.Research square · 2024Article
- Recent Advances in Characterization of Melanin Pigments in Biological Samples.International journal of molecular sciences · 2023Review
- Optical characteristics of the skin with dark circles using pump-probe imaging.Scientific reports · 2022Article
- Towards in-vivo label-free detection of brain tumor margins with epi-illumination tomographic quantitative phase imaging.Biomedical optics express · 2021Article
- Current Management of Conjunctival Melanoma Part 1: Clinical Features, Diagnosis and Histopathology.Turkish journal of ophthalmology · 2020Review
- Transient absorption microscopy: Technological innovations and applications in materials science and life science.The Journal of chemical physics · 2020Article
- Analysis of skin morphological features and real-time monitoring using snapshot hyperspectral imaging.Biomedical optics express · 2019Article
- Analysis of Melanin Structure and Biochemical Composition in Conjunctival Melanocytic Lesions Using Pump-Probe Microscopy.Translational vision science & technology · 2019Article
- Unraveling the molecular nature of melanin changes in metastatic cancer.Journal of biomedical optics · 2019Article
- Dual-wavelength oblique back-illumination microscopy for the non-invasive imaging and quantification of blood in collection and storage bags.Biomedical optics express · 2018Article
- Comparison of pump-probe and hyperspectral imaging in unstained histology sections of pigmented lesions.Biomedical optics express · 2017Article
- Label-Free Imaging of Female Genital Tract Melanocytic Lesions With Pump-Probe Microscopy: A Promising Diagnostic Tool.Journal of lower genital tract disease · 2017Article
- Dual-wavelength pump-probe microscopy analysis of melanin composition.Scientific reports · 2016Article
- Pump-probe imaging of pigmented cutaneous melanoma primary lesions gives insight into metastatic potential.Biomedical optics express · 2015Article
- Comparing in vivo pump-probe and multiphoton fluorescence microscopy of melanoma and pigmented lesions.Journal of biomedical optics · 2015Article
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3 authors.
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Abstract
Pump-probe microscopy is an emerging molecular imaging technique that probes the excited state dynamics properties of pigmented samples. This method has been particularly intriguing for melanoma because, unlike other methods available, it can provide nondestructive, quantitative chemical information regarding different types of melanins, with high spatial resolution. In this Letter, we present a method based on mathematical morphology to quantify melanin structure (eumelanin, pheomelanin, and total melanin content, uniquely available with pump-probe microscopy) to aid in melanoma diagnosis. The approach applies a two-dimensional autocorrelation function and utilizes statistical parameters of the corresponding autocorrelation images, specifically, the second moments and entropy, to parameterize image structure. Along with bulk melanin chemical information, we show that this method can differentiate invasive melanomas from noninvasive and benign lesions with high sensitivity and specificity (92.3% and 97.5%, respectively, with N=53). The mathematical method and the statistical analysis are described in detail and results from cutaneous and ocular conjunctival melanocytic lesions are presented.
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