Literature DB >> 26193160

Optical coherence tomography imaging for analysis of follicular development in ovarian tissue.

Yuuki Watanabe, Kei Takakura, Reiko Kurotani, Hiroyuki Abe.   

Abstract

We describe the application of optical coherence tomography (OCT) for noninvasive analysis of follicular development in mouse ovaries. Ovaries contain many follicles and oocytes. Quantification of follicles at various developmental stages is an indication of the ability of an ovary to provide oocytes capable of fertilization. Three-dimensional structural OCT images identified each developmental stage, from a primary follicle (50 μm in diameter) to an antral follicle (350 μm in diameter), in the ovary of a 25.5-day-old mouse. We discovered time-varying OCT signals at the oocytes that differentiated them from surrounding tissues. These signals were clearly enhanced by interframe intensity-based Doppler OCT techniques. The OCT technology was effective in analyzing the development of follicles and oocytes in ovaries.

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Year:  2015        PMID: 26193160     DOI: 10.1364/AO.54.006111

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  Three-dimensional texture analysis of optical coherence tomography images of ovarian tissue.

Authors:  Travis W Sawyer; Swati Chandra; Photini F S Rice; Jennifer W Koevary; Jennifer K Barton
Journal:  Phys Med Biol       Date:  2018-12-04       Impact factor: 3.609

2.  Optical Coherence Tomography for Brain Imaging and Developmental Biology.

Authors:  Jing Men; Yongyang Huang; Jitendra Solanki; Xianxu Zeng; Aneesh Alex; Jason Jerwick; Zhan Zhang; Rudolph E Tanzi; Airong Li; Chao Zhou
Journal:  IEEE J Sel Top Quantum Electron       Date:  2015-12-30       Impact factor: 4.544

3.  Accuracy and safety verification of ovarian reserve assessment technique for ovarian tissue transplantation using optical coherence tomography in mice ovary.

Authors:  Seido Takae; Kosuke Tsukada; Yorino Sato; Naoki Okamoto; Tai Kawahara; Nao Suzuki
Journal:  Sci Rep       Date:  2017-03-08       Impact factor: 4.379

4.  Ovarian cancer detection using optical coherence tomography and convolutional neural networks.

Authors:  David Schwartz; Travis W Sawyer; Noah Thurston; Jennifer Barton; Gregory Ditzler
Journal:  Neural Comput Appl       Date:  2022-01-24       Impact factor: 5.102

  4 in total

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