Population of Follicles and Luteal Structures during the Oestrous Cycle of Mares Detected by Three-Dimensional Internal Structure Microscopy

Autor: Yasuo Nambo, Motozumi Matsui, Hideo Yokota, Taketoshi Mishima, Ryutaro Himeno, Y.-I. Miyake, Satoko Takemoto, Junpei Kimura, S. Nakamura, Y. Hirano
Rok vydání: 2009
Předmět:
Zdroj: Anatomia, Histologia, Embryologia. 38:214-218
ISSN: 1439-0264
0340-2096
DOI: 10.1111/j.1439-0264.2008.00924.x
Popis: The structure of the equine ovary is different from that of other mammals in its extremely large size, the presence of ovarian fossa and the inverted location of its cortex and medulla. A three-dimensional internal structure microscopy (3D-ISM), which consists of a computer-controlled slicer, a CCD camera, a laser disc recorder and a PC, is very useful for the observation of the internal structures in equine ovaries. In addition, the three-dimensional images of follicles and corpus luteum (CL) reconstructed by the segmentation technique can clarify the spatial arrangement in the equine ovary. In this study, to understand the changes in the ovarian internal structures of the mare during the oestrous cycle, the size and numbers of follicles and luteal structures were analysed by 3D-ISM in addition to the concentrations of progesterone (P(4)) and oestradiol-17beta. As a result, many small follicles (10 mm in diameter) were detected. It was recognized that the luteal structures were distinguished into three types, such as the corpus haemorragicum (CH), which is formed by blood elements at the cavity after ovulation, CL and corpus albican (CA). There were some CHs and CL in the group, which had the concentration of P(4)1 ng/ml. CHs were also observed in the group, which had low level of P(4) (P(4)1 ng/ml). CAs were found regardless of the P(4) level. In conclusion, 3D-ISM enabled the internal observation of the ovarian structures in detail, and estimation of the stage of the ovarian cycle with complementary physiological information. The findings by 3D-ISM provide basic information for clinical applications.
Databáze: OpenAIRE