Web resources
MOTHER OSF (Open Science Framework) data repository
The MOTHER project uses OSF to share resources to encourage discovery and reuse. The OSF component, Zelinski Lab: Macaque Ovary Tissue Histology shares the histology slides for 3 species of macaque: Cynomolgus, Japanese, and Rhesus. These datasets are linked to the ASU Library Research Data Repository.
- Zelinski Lab: Cynomolgus Macaque Ovary Histology
- Zelinski Lab: Japanese Macaque Ovary Histology
- Zelinski Lab: Rhesus Macaque Ovary Histology
“Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)”, ASU Library Research Data Repository
- Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, “Zelinski Lab: Cynomolgus Macaque Ovary”, https://doi.org/10.48349/ASU/BUAU3E, ASU Library Research Data Repository
- Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, “Zelinski Lab: Japanese Macaque Ovary”, https://doi.org/10.48349/ASU/KM2QZQ, ASU Library Research Data Repository
- Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, “Zelinski Lab: Rhesus Macaque Ovary”, https://doi.org/10.48349/ASU/46JWEX, ASU Library Research Data Reposito
MOTHER protocols
- Ding, Y., Shah, G., Ma, W., Chu, T.-Y., Zelinski, M. B. & Watanabe, K. H. Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) Slide Scanning Protocol. (2024). https://doi.org/10.5281/zenodo.10636869.
- Image Analysis and Data Segmentation protocols: Preliminary versions
- Sluka, J., Watanabe, K. & Ding, Y. MOTHER Ovarian Follicle Annotation using QuPath. (2023). https://hdl.handle.net/2022/29016.
- Sluka, J., Watanabe, K., Ding, Y., Zelinski, M. & Dietrich, S. MOTHER Step-by-step supplementary files. (2023). https://hdl.handle.net/2022/29015.
- Comparing Annotations from two Annotators
MOTHER training videos
Ovarian Follicle ID training (mp4 movie)
Reproductive Science Intro (mp4 movie)
MOTHER GitHub repositories
MOTHER schema
Papers
In reverse chronological order
Dietrich, S. W., Ma, W., Ding, Y., Watanabe, K. H., Zelinski, M. & Sluka, J. (2024). MOTHER-DB: A database for sharing ovarian histology images. IEEE/ACM Transactions on Computational Biology and Bioinformatics in press, doi:10.1109/TCBB.2024.3426999.
Watanabe, K. H., Dietrich, S. W., Ding, Y., Ma, W., Sluka, J. P. & Zelinski, M. B. (2024). Overview of the multispecies ovary tissue histology electronic repository (MOTHER). Biol Reprod ioae101, doi:10.1093/biolre/ioae101.
Wittner, R. et al. (2023). Towards a common standard for data and specimen provenance in life sciences. Learning Health Systems e10365, doi: 10.1002/lrh2.10365.
Presentations
2024 (in reverse chronological order)
Watanabe, K. H., Dietrich, S. W., Sluka, J. P. & Zelinski, M. B. (2024). The Multispecies Ovary Tissue Histology Electronic Repository (MOTHER): Contribute images with a new web-based tool, ezEML+MOTHER. In The Toxicologist: Late-Breaking Supplement, a Supplement to Toxicological Sciences. 192 (S2): p. 100. (Society of Toxicology). Presented at the Society of Toxicology 63rd Annual Meeting, Salt Lake City, UT, March 10-14.
New College Research Symposium
Daniele, A., Austin, K. & Watanabe, K. H. (2024). Analysis of Siberian Hamster (Phodopus sungorus) Follicle Distributions in Response to Photoperiod. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 18.
Jurado Gutierrez, A., Chu, T.-Y. & Watanabe, K. H. (2024). Ovary Histology Across Species: Need For a Unifying Ontology. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 18.
Lund, C., Sluka, J., Rao, P. R. & Watanabe, K. H. (2024). Utilizing Machine Learning Algorithms in ResNet34 Architecture to Enhance Ovarian Follicle Stage Prediction Accuracy. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 18.
Pak, H. & Watanabe, K. H. (2024). The Multispecies Ovary Tissue Histology Electronic Repository (MOTHER): STEM Encouragement and Outreach Through an Activity Book. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 18.
2023 (in reverse chronological order)
Shah, G., Azooz, M., Zelinski, M. B. & Watanabe, K. H. (2023). Efficacy of Rapamycin for Increasing Female Reproductive Longevity in Old Rhesus Macaques. Presented at the 2023 Arizona Physiological Society Meeting, Glendale, AZ, October 27-28.
Shah, G., Azooz, M., Zelinski, M., Dietrich, S., Sluka, J. P. & Watanabe, K. H. (2023). New Techniques for Ovary Histology: Follicle identification and Quantification using Shared Digital Images. p. 177. (Society for the Study of Reproduction). Presented at the Society for the Study of Reproduction 56th Annual Meeting, Ottawa, Canada, July 11-14.
New College Research Symposium
Austin, K., Daniele, A. & Watanabe, K. H. (2023). Synergistic Collaboration and Data Science Within the MOTHER Project. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 20.
Shah, G., Azooz, M., Zelinski, M. B., Watanabe, K. H., Sluka, J. & Dietrich, S. (2023). Rapamycin’s Role in Prolonging Ovarian Reproductive Lifespan: A Nonhuman Primate Model. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 20.
Weir, V., Tomlin, M. & Watanabe, K. H. (2023). Variation in Reproductive Cycles and Ovarian Development Among Selected Species. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 20.
Shah, G., Azooz, M., Dietrich, S., Watanabe, K. H., Zelinski, M. B. & Sluka, J. (2023). Rapamycin’s Role in Prolonging Ovarian Reproductive Lifespan: A Nonhuman Primate Study. In Proceedings of the Arizona-Nevada Academy of Science Sixty Fourth Annual Meeting. 55: pp. 7-8. Presented at the Arizona-Nevada Academy of Science 64th Annual Meeting, Mesa, AZ, April 15.
2022 (in reverse chronological order)
Shah, G., Azooz, M., Zelinski, M. B. & Watanabe, K. H. (2022). Efficacy of Rapamycin in Increasing Female Reproductive Longevity: A Nonhuman Primate Model. Presented at the 2022 Arizona Physiological Society Meeting, Scottsdale, AZ, October 21-22.
Shah, G., Azooz, M., Zelinski, M. B. & Watanabe, K. H. (2022). Rapamycin’s Role on Ovarian Follicular Development: A Nonhuman Primate Model. Presented at the BioSci Southwest, Tempe, AZ, September 30.
Watanabe, K. H. et al. (2022). The Multispecies Ovary Tissue Histology Electronic Repository (MOTHER): Share your ovary histology slides with the world. In Reproduction: Odyssey of Discovery. p. 73. Presented at the 55th Annual Meeting of the Society for the Study of Reproduction, Spokane, WA, July 26-29.
Sluka, J. P., Nagda, P., Rao, P. R. & Bhapkar, A. S. (2022). Machine Learning for the Classification of Ovarian Follicles from Histology Images. Presented at the IU School of Informatics, Computing and Engineering for the 2022 Summer Faculty Assistance in Data Science (FADS) program, Bloomington, IN, July 22.
Related references
Tsui, E. L. et al. (2023). Creating a common language for the subanatomy of the ovary. Biology of Reproduction 108, 1-4, doi:10.1093/biolre/ioac199.
O’Neill, K. E. et al. (2022). Anatomic nomenclature and 3-dimensional regional model of the human ovary: call for a new paradigm. American Journal of Obstetrics and Gynecology 228, 270-275.e4, doi:10.1016/j.ajog.2022.09.040.
