Share Email Print
cover

Proceedings Paper

Light-sheet microscopy for quantitative ovarian folliculometry
Author(s): Hsiao-Chun Amy Lin; Rahul Dutta; Subhamoy Mandal; Alexander Kind; Angelika Schnieke; Daniel Razansky
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10043, Diagnosis and Treatment of Diseases in the Breast and Reproductive System, 100430K (8 February 2017); doi: 10.1117/12.2252242
Show Author Affiliations
Hsiao-Chun Amy Lin, Helmholtz Zentrum München GmbH (Germany)
Technische Univ. München (Germany)
Rahul Dutta, Technische Univ. München (Germany)
Subhamoy Mandal, Helmholtz Zentrum München GmbH (Germany)
Technische Univ. München (Germany)
Alexander Kind, Technische Univ. München (Germany)
Angelika Schnieke, Technische Univ. München (Germany)
Daniel Razansky, Helmholtz Zentrum München GmbH (Germany)
Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 10043:
Diagnosis and Treatment of Diseases in the Breast and Reproductive System
Melissa C. Skala; Paul J. Campagnola, Editor(s)

© SPIE. Terms of Use
Back to Top