Literature DB >> 33311854

In vivo characterization of minipig skin as a model for dermatological research using multiphoton microscopy.

Aneesh Alex1,2, Eric J Chaney1, Mantas Žurauskas1, Jennifer M Criley3, Darold R Spillman1, Phaedra B Hutchison3, Joanne Li1, Marina Marjanovic1, Steve Frey2, Zane Arp2, Stephen A Boppart1.   

Abstract

Minipig skin is one of the most widely used non-rodent animal skin models for dermatological research. A thorough characterization of minipig skin is essential for gaining deeper understanding of its structural and functional similarities with human skin. In this study, three-dimensional (3-D) in vivo images of minipig skin was obtained non-invasively using a multimodal optical imaging system capable of acquiring two-photon excited fluorescence (TPEF) and fluorescence lifetime imaging microscopy (FLIM) images simultaneously. The images of the structural features of different layers of the minipig skin were qualitatively and quantitatively compared with those of human skin. Label-free imaging of skin was possible due to the endogenous fluorescence and optical properties of various components in the skin such as keratin, nicotinamide adenine dinucleotide phosphate (NAD(P)H), melanin, elastin, and collagen. This study demonstrates the capability of optical biopsy techniques, such as TPEF and FLIM, for in vivo non-invasive characterization of cellular and functional features of minipig skin, and the optical image-based similarities of this commonly utilized model of human skin. These optical imaging techniques have the potential to become promising tools in dermatological research for developing a better understanding of animal skin models, and for aiding in translational pre-clinical to clinical studies.

Entities:  

Keywords:  Animal model; Fluorescence lifetime imaging microscopy; In vivo imaging; Minipig skin; Optical biopsy

Year:  2020        PMID: 33311854      PMCID: PMC7725480          DOI: 10.1111/exd.14152

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  4 in total

1.  Single-photon peak event detection (SPEED): a computational method for fast photon counting in fluorescence lifetime imaging microscopy.

Authors:  Janet E Sorrells; Rishyashring R Iyer; Lingxiao Yang; Eric J Chaney; Marina Marjanovic; Haohua Tu; Stephen A Boppart
Journal:  Opt Express       Date:  2021-11-08       Impact factor: 3.894

2.  Real-time pixelwise phasor analysis for video-rate two-photon fluorescence lifetime imaging microscopy.

Authors:  Janet E Sorrells; Rishyashring R Iyer; Lingxiao Yang; Andrew J Bower; Darold R Spillman; Eric J Chaney; Haohua Tu; Stephen A Boppart
Journal:  Biomed Opt Express       Date:  2021-06-11       Impact factor: 3.562

3.  Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning.

Authors:  Priyanka Vasanthakumari; Renan A Romano; Ramon G T Rosa; Ana G Salvio; Vladislav Yakovlev; Cristina Kurachi; Jason M Hirshburg; Javier A Jo
Journal:  J Biomed Opt       Date:  2022-06       Impact factor: 3.758

4.  Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics.

Authors:  Rishyashring R Iyer; Janet E Sorrells; Lingxiao Yang; Eric J Chaney; Darold R Spillman; Brian E Tibble; Carlos A Renteria; Haohua Tu; Mantas Žurauskas; Marina Marjanovic; Stephen A Boppart
Journal:  Sci Rep       Date:  2022-03-02       Impact factor: 4.379

  4 in total

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