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Lin, H.-C. ; Dutta, R.* ; Mandal, S. ; Kind, A.* ; Schnieke, A.* ; Razansky, D.

Light-sheet microscopy for quantitative ovarian folliculometry.

Proc. SPIE 10043:100430K (2017)
Postprint DOI
Open Access Green
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. Owing to the large field of view and fast acquisition speed of our newly developed SPIM system, volumetric image stacks from entire intact samples of pig ovaries have been rendered demonstrating clearly discernible follicular features like follicle diameters (70 μm-2.5 mm), size of developing Cumulus oophorus complexes (COC) (40 μm-110 μm), and follicular wall thicknesses (90 μm-120 μm). The observation of clearly distinguishable COCs protruding into the follicular antrum was also shown possible, and correlation with the developmental stage of the follicles was determined. Follicles of all developmental stages were identified, and even the small primordial follicle clusters forming the egg nest could be observed. 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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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Cumulus Oophorus Complexes ; Follicle ; Folliculometry ; Ovary ; Selective-plane Illumination Microscopy
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Conference Title Diagnosis and Treatment of Diseases in the Breast and Reproductive System
Conference Date 28-29 January 2017
Conference Location San Francisco, USA
Quellenangaben Volume: 10043, Issue: , Pages: , Article Number: 100430K Supplement: ,
Publisher SPIE
Non-patent literature Publications
Reviewing status Peer reviewed