TY - JOUR
T1 - Three-dimensional imaging and quantification of mouse ovarian follicles via optical coherence tomography
AU - Amaral, Marcello Magri
AU - Sun, Aixia
AU - Li, Yilin
AU - Ren, Chao
AU - Truong, Anh Blue
AU - Nigam, Saumya
AU - Jiao, Zexu
AU - Wang, Ping
AU - Zhou, Chao
N1 - Publisher Copyright:
© 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.
PY - 2023/7
Y1 - 2023/7
N2 - Ovarian tissue cryopreservation has been successfully applied worldwide for fertility preservation. Correctly selecting the ovarian tissue with high follicle loading for freezing and reimplantation increases the likelihood of restoring ovarian function, but it is a challenging process. In this work, we explore the use of three-dimensional spectral-domain optical coherence tomography (SD-OCT) to identify different follicular stages, compare the identifications with H&E images, and measure the size and age-related follicular density distribution differences in mice ovaries. We use the thickness of the layers of granulosa cells to differentiate primordial and primary follicles from secondary follicles. The measured dimensions and age-related follicular distribution agree well with histological images and physiological aging. Finally, we apply attenuation coefficient map analyses to significantly improve the image contrast and the contrast-to-noise ratio (p < 0.001), facilitating follicle identification and quantification. We conclude that SD-OCT is a promising method to noninvasively evaluate ovarian follicles for ovarian tissue cryopreservation.
AB - Ovarian tissue cryopreservation has been successfully applied worldwide for fertility preservation. Correctly selecting the ovarian tissue with high follicle loading for freezing and reimplantation increases the likelihood of restoring ovarian function, but it is a challenging process. In this work, we explore the use of three-dimensional spectral-domain optical coherence tomography (SD-OCT) to identify different follicular stages, compare the identifications with H&E images, and measure the size and age-related follicular density distribution differences in mice ovaries. We use the thickness of the layers of granulosa cells to differentiate primordial and primary follicles from secondary follicles. The measured dimensions and age-related follicular distribution agree well with histological images and physiological aging. Finally, we apply attenuation coefficient map analyses to significantly improve the image contrast and the contrast-to-noise ratio (p < 0.001), facilitating follicle identification and quantification. We conclude that SD-OCT is a promising method to noninvasively evaluate ovarian follicles for ovarian tissue cryopreservation.
UR - http://www.scopus.com/inward/record.url?scp=85166734906&partnerID=8YFLogxK
U2 - 10.1364/BOE.489618
DO - 10.1364/BOE.489618
M3 - Article
C2 - 37497517
AN - SCOPUS:85166734906
SN - 2156-7085
VL - 14
SP - 3213
EP - 3224
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 7
ER -