Advanced methods in reproductive medicine: Application of optical nanoscopy, artificial intelligence-assisted quantitative phase microscopy and mitochondrial DNA copy numbers to assess human sperm cells
Paper I: Opstad, I.S., Popova, D.A., Acharya, G., Basnet, P. & Ahluwalia, B.S. (2018). Live-cell imaging of human spermatozoa using structured illumination microscopy. Biomedical Optics Express, 9(12), 5939-5945. Also available in Munin at https://hdl.handle.net/10037/15036.
Paper II: Dubey, V., Popova, D., Ahmad, A., Acharya, G., Basnet, P., Mehta, D.S.I. & Ahluwalia, B.S. (2019). Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition. Scientific Reports, 9, 3564. Also available in Munin at https://hdl.handle.net/10037/17194.
Paper III: Butola, A., Popova, D., Prasad, D.K., Ahmad, A., Habib, A., Tinguely, J.C., … Ahluwalia, B.S. (2020). High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition. Scientific Reports, 10, 13118. Also available in Munin at https://hdl.handle.net/10037/20415.
Paper IV: Popova, D., Bhide, P., D’Antonio, F., Basnet, P. & Acharya, G. (2021). Sperm mitochondrial DNA copy numbers in normal and abnormal semen analysis: a systematic review and meta-analysis. (Submitted manuscript).
PublisherUiT The Arctic University of Norway
UiT Norges arktiske universitet
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