ArticleBiomedical optics express2016
Optical configuration of pigmented lesion detection by frequency analysis of skin speckle patterns.
Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Non-contact optical sensing of vocal fold paralysis using speckle pattern analysis.Biomedical optics express · 2025Article
- Remote sensing of alcohol consumption using machine learning speckle pattern analysis.Journal of biomedical optics · 2025Article
- Neurophotonics: a comprehensive review, current challenges and future trends.Frontiers in neuroscience · 2024Review
- Non-contact optical in-vivo sensing of cilia motion by analyzing speckle patterns.Scientific reports · 2022Article
- Contact-free endoscopic photoacoustic sensing using speckle analysis.Journal of biophotonics · 2019Article
- Optical tissue probing: human skin hydration detection by speckle patterns analysis.Biomedical optics express · 2019Article
- Remote photoacoustic sensing using speckle-analysis.Scientific reports · 2019Article
- Demonstration of a Speckle Based Sensing with Pulse-Doppler Radar for Vibration Detection.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper we present a novel approach of realizing a safe, simple, and inexpensive sensor applicable to pigmented lesions detection. The approach is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating the affected area with a laser and applying periodic pressure to the surface via a controlled vibration source. When applied to pigmented lesions, the technique is superior to visual examination in avoiding many false positives and resultant unnecessary biopsies. Applying a series of different vibration frequencies at the examined tissue and analyzing the 2-D time varying speckle patterns in response to the applied periodic pressure creates a unique signature for each and different pigmented lesion. Analyzing these signatures is the first step toward detection of malignant melanoma. In this paper we present preliminary experiments that show the validity of the developed sensor for the classification of pigmented lesions.
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Registered trials
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