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A method for quantifying limbal stem cell niches using OCT imaging

AIMS: To evaluate the efficacy of Fourier domain-optical coherence tomography (FD-OCT) in imaging and quantifying the limbal palisades of Vogt and to correlate these images with histological findings. METHODS: The superior and inferior limbal region of both eyes of 50 healthy volunteers were imaged...

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Autores principales: Haagdorens, Michel, Behaegel, Joséphine, Rozema, Jos, Van Gerwen, Veerle, Michiels, Sofie, Ní Dhubhghaill, Sorcha, Tassignon, Marie-José, Zakaria, Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574400/
https://www.ncbi.nlm.nih.gov/pubmed/28228408
http://dx.doi.org/10.1136/bjophthalmol-2016-309549
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author Haagdorens, Michel
Behaegel, Joséphine
Rozema, Jos
Van Gerwen, Veerle
Michiels, Sofie
Ní Dhubhghaill, Sorcha
Tassignon, Marie-José
Zakaria, Nadia
author_facet Haagdorens, Michel
Behaegel, Joséphine
Rozema, Jos
Van Gerwen, Veerle
Michiels, Sofie
Ní Dhubhghaill, Sorcha
Tassignon, Marie-José
Zakaria, Nadia
author_sort Haagdorens, Michel
collection PubMed
description AIMS: To evaluate the efficacy of Fourier domain-optical coherence tomography (FD-OCT) in imaging and quantifying the limbal palisades of Vogt and to correlate these images with histological findings. METHODS: The superior and inferior limbal region of both eyes of 50 healthy volunteers were imaged by FD-OCT. Images were processed and analysed using Matlab software. In vitro immunofluorescent staining of a cadaveric donor limbus was analysed to correlate the presence of stem cells in the visualised structures. RESULTS: FD-OCT could successfully visualise limbal crypts and the palisades of Vogt in the limbus region. Fluorescent labelling confirmed the presence of stem cells in these structures. The mean palisade ridge width (Δ(PR)) and the mean interpalisade epithelial rete peg width (Δ(ERP)) were both of the order of 72 μm, leading to a palisade density (PD) of about 7.4 palisades/mm. A significant difference in Δ(PR), Δ(ERP) and PD was seen between the inferior and superior sides of the right eye and the superior sides of the left and right eye(p<0.05.). A significant influence of iris colour on parameters Δ(PR), Δ(ERP) and PD was found, and of age on PD and Δ(ERP) (p<0.05). CONCLUSIONS: In vivo OCT imaging is a safe and effective modality to image the limbus and can be used to visualise the palisades of Vogt. Image processing using Matlab software enabled quantification and density calculation of imaged limbal palisades of Vogt. This technique may enhance targeted limbal biopsies for transplantation.
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spelling pubmed-55744002017-09-06 A method for quantifying limbal stem cell niches using OCT imaging Haagdorens, Michel Behaegel, Joséphine Rozema, Jos Van Gerwen, Veerle Michiels, Sofie Ní Dhubhghaill, Sorcha Tassignon, Marie-José Zakaria, Nadia Br J Ophthalmol Clinical Science AIMS: To evaluate the efficacy of Fourier domain-optical coherence tomography (FD-OCT) in imaging and quantifying the limbal palisades of Vogt and to correlate these images with histological findings. METHODS: The superior and inferior limbal region of both eyes of 50 healthy volunteers were imaged by FD-OCT. Images were processed and analysed using Matlab software. In vitro immunofluorescent staining of a cadaveric donor limbus was analysed to correlate the presence of stem cells in the visualised structures. RESULTS: FD-OCT could successfully visualise limbal crypts and the palisades of Vogt in the limbus region. Fluorescent labelling confirmed the presence of stem cells in these structures. The mean palisade ridge width (Δ(PR)) and the mean interpalisade epithelial rete peg width (Δ(ERP)) were both of the order of 72 μm, leading to a palisade density (PD) of about 7.4 palisades/mm. A significant difference in Δ(PR), Δ(ERP) and PD was seen between the inferior and superior sides of the right eye and the superior sides of the left and right eye(p<0.05.). A significant influence of iris colour on parameters Δ(PR), Δ(ERP) and PD was found, and of age on PD and Δ(ERP) (p<0.05). CONCLUSIONS: In vivo OCT imaging is a safe and effective modality to image the limbus and can be used to visualise the palisades of Vogt. Image processing using Matlab software enabled quantification and density calculation of imaged limbal palisades of Vogt. This technique may enhance targeted limbal biopsies for transplantation. BMJ Publishing Group 2017-09 2017-02-22 /pmc/articles/PMC5574400/ /pubmed/28228408 http://dx.doi.org/10.1136/bjophthalmol-2016-309549 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Clinical Science
Haagdorens, Michel
Behaegel, Joséphine
Rozema, Jos
Van Gerwen, Veerle
Michiels, Sofie
Ní Dhubhghaill, Sorcha
Tassignon, Marie-José
Zakaria, Nadia
A method for quantifying limbal stem cell niches using OCT imaging
title A method for quantifying limbal stem cell niches using OCT imaging
title_full A method for quantifying limbal stem cell niches using OCT imaging
title_fullStr A method for quantifying limbal stem cell niches using OCT imaging
title_full_unstemmed A method for quantifying limbal stem cell niches using OCT imaging
title_short A method for quantifying limbal stem cell niches using OCT imaging
title_sort method for quantifying limbal stem cell niches using oct imaging
topic Clinical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574400/
https://www.ncbi.nlm.nih.gov/pubmed/28228408
http://dx.doi.org/10.1136/bjophthalmol-2016-309549
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