Classification of skin-cancer lesions based on Fluorescence Lifetime Imaging

2020 ◽  
Author(s):  
Priyanka Vasanthakumari ◽  
Renan A. Romano ◽  
Ramon Gabriel Teixeira Rosa ◽  
Ana G. Salvio ◽  
Vladislav Yakovlev ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

Non-invasive imaging of skin cancer with fluorescence lifetime imaging using two photon tomography

2011 ◽  
Author(s):  
Rakesh Patalay ◽  
Clifford Talbot ◽  
Yuriy Alexandrov ◽  
Ian Munro ◽  
Hans Georg Breunig ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging ◽  
Two Photon ◽  
Lifetime Imaging ◽  
Non Invasive

Fluorescence lifetime imaging of skin cancer

2011 ◽  
Author(s):  
Rakesh Patalay ◽  
Clifford Talbot ◽  
Ian Munro ◽  
Hans Georg Breunig ◽  
Karsten König ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Fluorescence Lifetime ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

scholarly journals Fluorescence lifetime imaging microscopy and its applications in skin cancer diagnosis

2019 ◽  
Vol 12 (05) ◽  
pp. 1930004 ◽  
Author(s):  
Lixin Liu ◽  
Qianqian Yang ◽  
Meiling Zhang ◽  
Zhaoqing Wu ◽  
Ping Xue
Keyword(s):  
Skin Cancer ◽  
Cell Carcinoma ◽  
Cancer Diagnosis ◽  
Fluorescence Lifetime ◽  
Detection Methods ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Physiological Characterization ◽  
Lifetime Imaging ◽  
Spatially Resolved

Fluorescence lifetime (FLT) of fluorophores is sensitive to the changes in their surrounding microenvironment, and hence it can quantitatively reveal the physiological characterization of the tissue under investigation. Fluorescence lifetime imaging microscopy (FLIM) provides not only morphological but also functional information of the tissue by producing spatially resolved image of fluorophore lifetime, which can be used as a signature of disorder and/or malignancy in diseased tissues. In this paper, we begin by introducing the basic principle and common detection methods of FLIM. Then the recent advances in the FLIM-based diagnosis of three different skin cancers, including basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and malignant melanoma (MM) are reviewed. Furthermore, the potential advantages of FLIM in skin cancer diagnosis and the challenges that may be faced in the future are prospected.

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