Literature DB >> 27867727

Optical lens-microneedle array for percutaneous light delivery.

Moonseok Kim1, Jeesoo An2, Ki Su Kim2, Myunghwan Choi3, Matjaž Humar4, Sheldon J J Kwok5, Tianhong Dai6, Seok Hyun Yun5.   

Abstract

The limited penetration depth of light in skin tissues is a practical bottleneck in dermatologic applications of light-induced therapies, including anti-microbial blue light therapy and photodynamic skin cancer therapy. Here, we demonstrate a novel device, termed optical microneedle array (OMNA), for percutaneous light delivery. A prototype device with a 11 by 11 array of needles at a spacing of 1 mm and a length of 1.6 mm was fabricated by press-molding poly-(lactic acid) (PLA) polymers. The device also incorporates a matched microlens array that focuses the light through the needle tips at specific points to achieve an optimal intensity profile in the tissue. In experiments done with bovine tissues, the OMNA enabled us to deliver a total of 7.5% of the input photons at a wavelength of 491 nm, compared to only 0.85% without the device. This 9-fold enhancement of light delivery was close to the prediction of 10.8 dB by ray-tracing simulation and is expected to increase the effective treatment depth of anti-microbial blue light therapy significantly from 1.3 to 2.5 mm in human skin.

Entities:  

Keywords:  (160.1435) Biomaterials; (170.0170) Medical optics and biotechnology; (170.3660) Light propagation in tissues; (170.5180) Photodynamic therapy; (230.0230) Optical devices

Year:  2016        PMID: 27867727      PMCID: PMC5102534          DOI: 10.1364/BOE.7.004220

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  20 in total

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4.  Fiber optic microneedles for transdermal light delivery: ex vivo porcine skin penetration experiments.

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6.  Comparison of laser-induced damage with forward-firing and diffusing optical fiber during laser-assisted lipoplasty.

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  17 in total

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10.  Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns.

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