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Advancing ovarian folliculometry with selective plane illumination microscopy

Determination of ovarian status and follicle monitoring are common methods of diagnosing female infertility. We evaluated the suitability of selective plane illumination microscopy (SPIM) for the study of ovarian follicles. The large field of view and fast acquisition speed of our SPIM system enable...

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Autores principales: Lin, Hsiao-Chun Amy, Dutta, Rahul, Mandal, Subhamoy, Kind, Alexander, Schnieke, Angelika, Razansky, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131314/
https://www.ncbi.nlm.nih.gov/pubmed/27905503
http://dx.doi.org/10.1038/srep38057
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author Lin, Hsiao-Chun Amy
Dutta, Rahul
Mandal, Subhamoy
Kind, Alexander
Schnieke, Angelika
Razansky, Daniel
author_facet Lin, Hsiao-Chun Amy
Dutta, Rahul
Mandal, Subhamoy
Kind, Alexander
Schnieke, Angelika
Razansky, Daniel
author_sort Lin, Hsiao-Chun Amy
collection PubMed
description Determination of ovarian status and follicle monitoring are common methods of diagnosing female infertility. We evaluated the suitability of selective plane illumination microscopy (SPIM) for the study of ovarian follicles. The large field of view and fast acquisition speed of our SPIM system enables rendering of volumetric image stacks from intact whole porcine ovarian follicles, clearly visualizing follicular features including follicle volume and average diameter (70 μm–2.5 mm), their spherical asymmetry parameters, size of developing cumulus oophorus complexes (40 μm–110 μm), and follicular wall thickness (90 μm–120 μm). Follicles at all developmental stages were identified. A distribution of the theca thickness was measured for each follicle, and a relationship between these distributions and the stages of follicular development was discerned. The ability of the system to non-destructively generate sub-cellular resolution 3D images of developing follicles, with excellent image contrast and high throughput capacity compared to conventional histology, suggests that it can be used to monitor follicular development and identify structural abnormalities indicative of ovarian ailments. Accurate folliculometric measurements provided by SPIM images can immensely help the understanding of ovarian physiology and provide important information for the proper management of ovarian diseases.
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spelling pubmed-51313142016-12-15 Advancing ovarian folliculometry with selective plane illumination microscopy Lin, Hsiao-Chun Amy Dutta, Rahul Mandal, Subhamoy Kind, Alexander Schnieke, Angelika Razansky, Daniel Sci Rep Article Determination of ovarian status and follicle monitoring are common methods of diagnosing female infertility. We evaluated the suitability of selective plane illumination microscopy (SPIM) for the study of ovarian follicles. The large field of view and fast acquisition speed of our SPIM system enables rendering of volumetric image stacks from intact whole porcine ovarian follicles, clearly visualizing follicular features including follicle volume and average diameter (70 μm–2.5 mm), their spherical asymmetry parameters, size of developing cumulus oophorus complexes (40 μm–110 μm), and follicular wall thickness (90 μm–120 μm). Follicles at all developmental stages were identified. A distribution of the theca thickness was measured for each follicle, and a relationship between these distributions and the stages of follicular development was discerned. The ability of the system to non-destructively generate sub-cellular resolution 3D images of developing follicles, with excellent image contrast and high throughput capacity compared to conventional histology, suggests that it can be used to monitor follicular development and identify structural abnormalities indicative of ovarian ailments. Accurate folliculometric measurements provided by SPIM images can immensely help the understanding of ovarian physiology and provide important information for the proper management of ovarian diseases. Nature Publishing Group 2016-12-01 /pmc/articles/PMC5131314/ /pubmed/27905503 http://dx.doi.org/10.1038/srep38057 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Lin, Hsiao-Chun Amy
Dutta, Rahul
Mandal, Subhamoy
Kind, Alexander
Schnieke, Angelika
Razansky, Daniel
Advancing ovarian folliculometry with selective plane illumination microscopy
title Advancing ovarian folliculometry with selective plane illumination microscopy
title_full Advancing ovarian folliculometry with selective plane illumination microscopy
title_fullStr Advancing ovarian folliculometry with selective plane illumination microscopy
title_full_unstemmed Advancing ovarian folliculometry with selective plane illumination microscopy
title_short Advancing ovarian folliculometry with selective plane illumination microscopy
title_sort advancing ovarian folliculometry with selective plane illumination microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131314/
https://www.ncbi.nlm.nih.gov/pubmed/27905503
http://dx.doi.org/10.1038/srep38057
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