Literature DB >> 19405747

Near-infrared autofluorescence imaging of cutaneous melanins and human skin in vivo.

Xiao Han1, Harvey Lui, David I McLean, Haishan Zeng.   

Abstract

In recent years, near-infrared (NIR) autofluorescence imaging has been explored as a novel technique for tissue evaluation and diagnosis. We present an NIR fluorescence imaging system optimized for the dermatologic clinical setting, with particular utility for the direct characterization of cutaneous melanins in vivo. A 785-nm diode laser is coupled into a ring light guide to uniformly illuminate the skin. A bandpass filter is used to purify the laser light for fluorescence excitation, while a long-pass filter is used to block the main laser wavelength but pass the spontaneous components for NIR reflectance imaging. A computer-controlled filter holder is used to switch these two filters to select between reflectance and fluorescence imaging modes. Both the reflectance and fluorescence photons are collected by an NIR-sensitive charge-coupled device (CCD) camera to form the respective images. Preliminary results show that cutaneous melanin in pigmented skin disorders emits higher NIR autofluorescence than surrounding normal tissue. This confirmed our previous findings from NIR fluorescence spectroscopy study of cutaneous melanins and provides a new approach to directly image the distributions of cutaneous melanins in the skin. In-vivo NIR autofluorescence images may be useful for clinical evaluation and diagnosis of pigmented skin lesions, including melanoma.

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Year:  2009        PMID: 19405747     DOI: 10.1117/1.3103310

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  13 in total

1.  Infrared Imaging Tools for Diagnostic Applications in Dermatology.

Authors:  Abhijit Achyut Gurjarpadhye; Mansi Bharat Parekh; Arita Dubnika; Jayakumar Rajadas; Mohammed Inayathullah
Journal:  SM J Clin Med Imaging       Date:  2015-11-20

2.  Comparing in vivo pump-probe and multiphoton fluorescence microscopy of melanoma and pigmented lesions.

Authors:  Jesse W Wilson; Simone Degan; Christina S Gainey; Tanya Mitropoulos; Mary Jane Simpson; Jennifer Y Zhang; Warren S Warren
Journal:  J Biomed Opt       Date:  2015-05       Impact factor: 3.170

3.  Pump-probe imaging differentiates melanoma from melanocytic nevi.

Authors:  Thomas E Matthews; Ivan R Piletic; M Angelica Selim; Mary Jane Simpson; Warren S Warren
Journal:  Sci Transl Med       Date:  2011-02-23       Impact factor: 17.956

4.  Role of optical spectroscopy using endogenous contrasts in clinical cancer diagnosis.

Authors:  Quan Liu
Journal:  World J Clin Oncol       Date:  2011-01-10

5.  Melanin concentration maps by label-free super-resolution photo-thermal imaging on melanoma biopsies.

Authors:  Margaux Bouzin; Mario Marini; Giuseppe Chirico; Francesca Granucci; Francesca Mingozzi; Roberto Colombo; Laura D'Alfonso; Laura Sironi; Maddalena Collini
Journal:  Biomed Opt Express       Date:  2022-02-03       Impact factor: 3.732

6.  Surgical Guidance via Multiplexed Molecular Imaging of Fresh Tissues Labeled with SERS-Coded Nanoparticles.

Authors:  Yu Wang; Soyoung Kang; Josh D Doerksen; Adam K Glaser; Jonathan T C Liu
Journal:  IEEE J Sel Top Quantum Electron       Date:  2016-03-21       Impact factor: 4.544

7.  Integrated Mueller-matrix near-infrared imaging and point-wise spectroscopy improves colonic cancer detection.

Authors:  Jianfeng Wang; Wei Zheng; Kan Lin; Zhiwei Huang
Journal:  Biomed Opt Express       Date:  2016-03-03       Impact factor: 3.732

8.  Developing a Clinical Prototype to Guide Surgeons for Intraoperative Label-Free Identification of Parathyroid Glands in Real Time.

Authors:  Giju Thomas; Melanie A McWade; Constantine Paras; Emmanuel A Mannoh; Melinda E Sanders; Lisa M White; James T Broome; John E Phay; Naira Baregamian; Carmen C Solórzano; Anita Mahadevan-Jansen
Journal:  Thyroid       Date:  2018-09-11       Impact factor: 6.568

9.  Near infrared fluorescent imaging of brain tumor with IR780 dye incorporated phospholipid nanoparticles.

Authors:  Shihong Li; Jennifer Johnson; Anderson Peck; Qian Xie
Journal:  J Transl Med       Date:  2017-01-23       Impact factor: 5.531

Review 10.  Optical imaging for breast cancer prescreening.

Authors:  Anuradha Godavarty; Suset Rodriguez; Young-Jin Jung; Stephanie Gonzalez
Journal:  Breast Cancer (Dove Med Press)       Date:  2015-07-20
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