Light-sheet microscopy for quantitative ovarian folliculometry

Hsiao-Chun Amy Lin; Rahul Dutta; Subhamoy Mandal; Alexander Kind; Angelika Schnieke; Daniel Razansky

doi:10.1117/12.2252242

8 February 2017 Light-sheet microscopy for quantitative ovarian folliculometry

Hsiao-Chun Amy Lin, Rahul Dutta, Subhamoy Mandal, Alexander Kind, Angelika Schnieke, Daniel Razansky

Proceedings Volume 10043, Diagnosis and Treatment of Diseases in the Breast and Reproductive System; 100430K (2017) https://doi.org/10.1117/12.2252242
Event: SPIE BiOS, 2017, San Francisco, California, United States

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.

Conference Presentation

Citation Download Citation

Hsiao-Chun Amy Lin, Rahul Dutta, Subhamoy Mandal, Alexander Kind, Angelika Schnieke, and Daniel Razansky "Light-sheet microscopy for quantitative ovarian folliculometry", Proc. SPIE 10043, Diagnosis and Treatment of Diseases in the Breast and Reproductive System, 100430K (8 February 2017); https://doi.org/10.1117/12.2252242

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