Literature DB >> 23418008

Perfectly registered multiphoton and reflectance confocal video rate imaging of in vivo human skin.

Hequn Wang1, Anthony M D Lee, Zack Frehlick, Harvey Lui, David I McLean, Shuo Tang, Haishan Zeng.   

Abstract

We present a multimodal in vivo skin imaging instrument that is capable of simultaneously acquiring multiphoton and reflectance confocal images at up to 27 frames per second with 256 × 256 pixel resolution without the use of exogenous contrast agents. A single femtosecond laser excitation source is used for all channels ensuring perfect image registration between the two-photon fluorescence (TPF), second harmonic generation (SHG), and reflectance confocal microscopy (RCM) images. Images and videos acquired with the system show that the three imaging channels provide complementary information in in vivo human skin measurements. In the epidermis, cell boundaries are clearly seen in the RCM channel, while cytoplasm is better seen in the TPF imaging channel, whereas in the dermis, SHG and TPF channels show collagen bundles and elastin fibers, respectively. The demonstrated fast imaging speed and multimodal imaging capabilities of this MPM/RCM instrument are essential features for future clinical application of this technique.
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 23418008     DOI: 10.1002/jbio.201200067

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  4 in total

1.  Image segmentation for integrated multiphoton microscopy and reflectance confocal microscopy imaging of human skin in vivo.

Authors:  Guannan Chen; Harvey Lui; Haishan Zeng
Journal:  Quant Imaging Med Surg       Date:  2015-02

Review 2.  Reflectance confocal microscopy of skin in vivo: From bench to bedside.

Authors:  Milind Rajadhyaksha; Ashfaq Marghoob; Anthony Rossi; Allan C Halpern; Kishwer S Nehal
Journal:  Lasers Surg Med       Date:  2016-10-27       Impact factor: 4.025

3.  Dense-UNet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network.

Authors:  Sijing Cai; Yunxian Tian; Harvey Lui; Haishan Zeng; Yi Wu; Guannan Chen
Journal:  Quant Imaging Med Surg       Date:  2020-06

4.  A method for accurate in vivo micro-Raman spectroscopic measurements under guidance of advanced microscopy imaging.

Authors:  Hequn Wang; Anthony M D Lee; Harvey Lui; David I McLean; Haishan Zeng
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  4 in total

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